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573 Left Ventricular Dynamic Geometry in the Intact and Open Chest Dog Keith R. Walley, Maleah Grover, Gilbert L. Raff, J. William Benge, Blake Hannaford, and Stanton A. Glantz From the Cardiovascular Research Institute and Department of Medicine, University of California, San Francisco, California Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 SUMMARY. No approach to describing the heart's dynamic geometry has been widely adopted, probably because all require questionable assumptions of chamber shape, symmetry, or placement of the measuring devices. In other words, these approaches require assumptions about shape to reach conclusions about shape. We present an analysis that avoids such assumptions and provides an objective description of how the left ventricle deforms and rotates during the cardiac cycle. We only assume that the deformation of the left ventricular cavity is homogeneous, and explicitly validate this assumption. Our analysis yields the following new information about the contracting left ventricle: three principal directions of deformation and the relative length change along these directions: the axis and angle of rotation, and relative volume. All these changes are referenced to the ventricle's configuration at end-diastole. We instrumented 13 dogs with tantalum screws without opening their chests. During systole, the three principal directions of deformation essentially are aligned along apex-base, anterior-posterior, and septum-free wall directions. There is little length change in the apex-base direction. The anterior and septal principal directions do not remain fixed with respect to the heart's anatomy during systole. During isovolumic relaxation and early filling, systolic shape changes are reversed. During slow filling, only small shape changes occur. Opening the pleura or performing a sternotomy and pericardiectomy m,akes the heart change orientation within the chest, but does not alter the magnitude of shortening, relative to the left ventricle's enddiastolic configuration. (Ore Res 50: 573-589, 1982) THE heart ejects blood by deforming. The complex three-dimensional deformation that occurs during contraction and relaxation has forced investigators to make major simplifying assumptions to interpret their data, and these assumptions can themselves introduce subtle biases (Sandier and Alderman, 1974). It is common to assume a shape or symmetry (for example, an elliptical chamber) to study ventricular shape changes. Measuring devices fixed anatomically, such as radiopaque markers or ultrasonic crystals, are assumed to bear a fixed and physically meaningful relationship to the deforming ventricle (for example, when the markers are assumed to lie on the major and minor axes of an assumed elliptical chamber). The results of angiographic, echocardiographic, and other methods based on imaging depend on the orientation of the observer relative to the heart; furthermore, this orientation changes as the heart beats. In addition to these problems associated with interpreting the observations, thoracotomy and pericardiectomy necessary to implant measuring devices might distort ventricular geometry. Finally, few methods provide information concerning the dynamic geometry of the entire ventricle. Most methods measure only one or two chamber dimensions or a single geometric variable such as volume. We present a new analysis which avoids any assumptions about chamber shape, chamber symmetry, or placement of radiopaque markers. This analysis yields an objective decription of the pattern of deformation and rotation of the ventricular cavity. Interventions such as volume loading, opening the pleura, or resecting the pericardium do not significantly affect normal left ventricular dynamic geometry during systole. Methods Experimental Preparation The surgical method has already been described (Davis et al., 1980; Raff et al., 1981). With the aid of a fluoroscope, we implanted seven to 15 tantalum screws ( 1 X 2 mm helices of tantalum wire) in the left ventricular endocardium of 13 healthy mongrel dogs with a Medi-tech steerable catheter introduced via a carotid artery. The chest wall, pleura, and pericardium remained intact. We always placed one to three (usually two) screws in the aortic valve ring, one at approximately the left ventricular apex, and at least four spaced approximately evenly about the left ventricular equator. In some dogs, we implanted additional screws to define the ventricular cavity more completely. Protocol Four to 6 weeks after screw implantation, we performed the following experiment: we premedicated the dogs with 5 mg/kg morphine injected subcutaneously and anesthetized them with 70 mg/kg a-chloralose injected intravenously. Every hour, we gave the dogs an additional 15 mg morphine. This anesthetic combination maintained normal heart rates and a physiological response to volume loading (Afors et al., 1971; Vatner and Boetticher, 1978). We measured left ventricular pressure, aortic pressure, and right 574 Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 ventricular pressure with Millar catheter-tip pressure transducers. A set of data consisted of an analog recording of simultaneous pressures and ECG for approximately 15 seconds. This 15-second interval included several seconds of synchronized biplane X-ray cineradiographs filmed at 30 frames/sec. We selected this sampling rate because Rankin et al. (1976) reported that dimensional changes can be adequately represented by the first five harmonics of the dimension change. Since the heart rates in our dogs were of the order of 1-2 Hz, our 30 Hz sampling rate seemed more than adequate. The analog data were digitized every 5 msec (Horowitz and Glantz, 1979) and the three-dimensional positions of each of the tantalum screws were computed every 33.3 msec (V30 sec) after projecting the biplane films onto a Talos digitizing tablet and manually indicating the positions of the marker shadows. We located digitizing errors by checking the resulting screw image coordinate for discontinuities. All suspect frames were then redigitized. The resulting data were employed to compute the screws' three-dimensional coordinates, using the equations of Davis et al. (1980). We collected a set of data during a control condition and after volume loading with a 1:1 mixture of saline and blood. We recorded data at end-diastolic pressures approximately 5, 10, 15, and 20 mm Hg above control (approximately every 15 minutes). We recorded the next set of data after inserting bilateral chest tubes to release pleural pressure; we refer to this as "open pleura." The dog was again given volume, and additional data sets were recorded. Similarly, we collected data after a median sternotomy and pericardiectomy, before and after volume loading; we refer to this as "open pericardium." Circulation Research/Vol. 50, No. 4, April 1982 FIGURE 1. X-rays of 1-cm slices parallel to the plane of the mitral valve, showing locations of endocardial tantalum screws. The apical and aortic screws defined one axis of the coordinate system fixed in the heart. The free wall screw defined a second axis perpendicular to the first, and the third axis completed a righthand coordinate system. Principal directions of deformation are expressed in this coordinate system. Note that the free wall screw is anterior of the free wall papillary muscle. (There are also four screws in the right ventricle; we do not include them in the analysis.) Volume Validation In three experiments, we removed the hearts and inserted a balloon to check our computed volumes against actual left ventricular volumes (Rankin et al., 1976; Suga and Sagawa, 1979). We opened the left atrium, excised mitral valvular tissue, cut the chordae tendineae, and then sewed a Lucite disk with an attached thin-walled latex balloon into the mitral annulus and tied off the aortic annulus. We inserted a small catheter transmurally to evacuate any fluid or air that might have prevented the balloon from conforming to the endocardia! surface. We filled the balloon with a dilute radiopaque dye solution (1:10 Renografin 76: water) and took biplane x-rays over a range of balloon volumes from 20 to 80 ml. These data provided simultaneous measurements of screw positions and ventriculograms at known volumes. These data were obtained within an hour after the dogs were killed. We then fixed the hearts in formalin and cut them into 1-cm slices along places perpendicular to the long axis of the heart to precisely locate the screws. Figure 1 consists of x-rays of these slices, showing the screws implanted in the left ventricular endocardium, as well as screws in the right ventricle (the latter are not included in the present analysis). We now develop the concepts and computational methods needed to convert the data on the threedimensional movement of all the tantalum screws into objective information about how the left ventricle deforms (changes shape and size) and rotates in the chest as it beats. More precisely, we will identify the three mutually perpendicular directions along which the left ventricle deforms during the cardiac cycle and by how much (as a fraction of some control value). The ventricle expands or shrinks along each of these three directions. These so-called principal directions of the deformation in general do not pass through pairs of tantalum screws and may change relative to the heart's anatomy during the cardiac cycle. We will also identify the axis of rotation and the amount the heart rotates about this axis during the cardiac cycle. Statistical Methods We tested the null hypothesis that opening the pleura or pericardium did not alter the variables of interest by performing the two-way analysis of variance with a mixed effects model. When this procedure detected a significant difference, we performed multiple comparisons using the Student-Neumann-Keuls method with a = 0.05. The Assumption of Homogeneous Deformation In contrast to other approaches to describing the left ventricle's dynamic geometry, we make no assumptions about the shape or symmetry of the ventricular lumen. We only assume that the ventricular cavity deforms homogeneously. Since the screws out- Analytical Approach 575 Walley et a/./Left Ventricular Dynamic Geometry Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 line the ventricular cavity, this assumption need only apply to the deformation of the blood-filled lumen. We present experimental evidence to justify this assumption. When a space deforms homogeneously, any part of the space deforms in the same manner as the whole space deforms. For example, parallel lines change length and orientation but remain parallel, similar triangles change shape and orientation but remain similar, and ellipsoids change orientation and eccentricity but remain ellipsoids. The assumption of homogeneous deformation has been implicit in all previous studies which measured two or three diameters of the left ventricle and assumed they were the major and minor axes of an assumed ellipsoidal ventricle. In our analysis, we avoid the need for specific shape assumptions and the exact anatomical location of the principal axes of the deformation; we retain the much less restrictive assumption that the ventricular cavity deforms homogeneously. Nomenclature To simplify the equations, we use matrix notation to describe the screw positions and the transformations of these positions during the cardiac cycle. We record the three-dimensional coordinates of all n screws in a single 3 X n screw position matrix, X. X = Xi X2 X3 Xn yi y2 y3 Zi Z2 Z3 yn ZnJ (1) The ith column of X gives the x, y, and z coordinates of the ith screw. Since the positions of the screws change with time, the matrix X changes with time; X(t) is the matrix of three-dimensional screw positions at time t. Since the ventricular cavity is assumed to deform homogeneously, the change in endocardial marker positions between two times, ti and t2 (for example, between end-diastole and end-systole) can be represented by a linear transformation, T, that depends on ti and t2 (Meier et al., 1980a): X(t 2 )=T(t,,t 2 )X(t 1 ) (2) T(ti, t2) is the 3 X 3 matrix that describes how the heart deforms and rotates between times ti and t2. We always reference T to end-diastole, so T describes how the heart deforms and rotates relative to its enddiastolic shape and orientation. Therefore, we can simplify our notation and rewrite Equation 2: X(t) = T(t)XED (3) where t is the time after end-diastole and X E D is the screw position matrix at end-diastole. In most cases, XED contains the screw coordinates at the end-diastole immediately before the beat begins. Therefore, T (and the resulting dilation and rotation) describes how the left ventricle changes with respect to its configuration at end-diastole. In some cases, we take XED to be the screw coordinates for end-diastole with the chest intact, even when analyzing beats after opening the pleura or pericardium. In these cases T describes the dilation and rotation due to opening the pleura or pericardium with respect to the left ventricle's size, shape, and orientation before performing any of these interventions. T represents dilation and rotation but not translation. Therefore, translation of the heart as it beats must be subtracted from X(t) before computing T. Incomplete removal of the translational component of ventricular motion introduces errors in the estimate of T because Equation 3 does not account for translation of the whole heart. If the ventricular cavity deformed exactly homogeneously, any point which moved with the heart could be used as the origin of a moving coordinate system to subtract out the translation. However, any inhomogeneity of deformation would result in the choice of origin influencing the analysis. To test the magnitude of this potential difficulty, we performed three separate analyses with the origin at the aortic valve, at the centroid of the screws, and at the apex of the heart. The measures of deformation at end-systole obtained in these three analyses differed by less than 2%, less than the measurement error. No particular origin was identified as providing a consistently better fit to the data. In other words, the deformation is close enough to being homogeneous that one can choose any origin that translates with the heart to describe the screw locations without affecting the results of the analysis. We placed the origin at the apex when computing the results presented in this paper. Estimating the Transformation from Data Rather than being given the initial screw positions at end-diastole and the matrix T to estimate the screw positions at some later time (say, end-diastole), we wish to use the observed screw positions at two different times to estimate T. We use a least squares best fitting procedure analogous to linear regression to estimate T. We estimate T with the transformation that minimizes the sum of squares of the distances between the measured final screw positions at time t and the positions of the screw predicted from Equation 3. Appendix A shows that f (t) = (4) is the best estimate of T(t) given that the ventricular cavity may not deform exactly homogeneously and that the data always contain some random measurement errors. Since we film the heart at 30 frames/sec, there is rarely a frame that corresponds exactly to end-diastole (defined by examining the ECG R-wave peak and the left ventricular pressure recording). We estimate XED by interpolating linearly in time between the two cine frames that span the time of end-diastole. Since the aortic valve ring does not deform in the same way as the left ventricular cavity, we only include one aortic 576 Circulation Research/Vol. 50, No. 4, April 1982 change) in three independent perpendicular directions and a rigid-body rotation about some axis (Fig. 2). In our application to the heart, this dilation represents contraction of the ventricle during systole and expansion of the ventricle during diastole (Meier et al., 1980a, 1980b). The Polar Decomposition Theorem states that any linear transformation, T, can be uniquely decomposed into a dilation represented by the matrix D and a rotation represented by the matrix R, where T = RD. (5) Dilation. The dilation can be described by reporting the three principal directions along which the ventricular cavity is changing size and shape, together with the fractional change in length along each principal direction. Appendix B shows that the dilation matrix D equals (TTT) 1/2 (6a) Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 We estimate D with D = (fT f) 1/2 (6b) The three principal directions of dilation or contraction of the deforming ventricle are given by the three mutually perpendicular eigenvectors of D. To visualize what principal directions are, consider stretching the rubber band shown in Figure 3. Lines I and II change length but not direction when the rubber band is stretched. These two lines are parallel FIGURE 2. The polar decomposition theorem states that any hoto the principal directions of the deformation; they mogeneous deformation can be decomposed into a pure dilation, are the directions that do not change orientation when D (panel A to B), and a pure rotation without shape change, R the rubber band is deformed. This situation contrasts (panel B to C). The three mutually perpendicular principal direcwith line III (or a line in any other direction) which tions of deformation (eigenvectors) are in directions given by the changes not only in length but apparent orientation vectors ei, ej, and d, and the associated eigenvalues are given by A i, A 2 and A 3, respectively. The rotation 6 is about an axis in the when the rubber band is stretched. —ei direction. (To simplify the illustration, the axis of rotation Each principal direction (eigenvector) has associcoincides with one of the principal directions of dilation; this is not ated with it a number equal to the fractional change the case in general.) (Adapted with permission from an illustration in length along that axis as the heart deforms. These provided by George Meier.) numbers are called eigenvalues of D. We denote these three eigenvalues Ai, A2, and A3. Since we reference screw in the computation of T. Which aortic screw all computations to end diastole, Ai, A2/ and A3 are one uses does not affect the results. 1 at end-diastole. Therefore, as the left ventricular Decomposition of T into a Dilation and Rotation cavity shrinks along principal axis i, Ai decreases. If Any homogeneous deformation of space can be the heart expands beyond end-diastolic length along principal axis i, Ai will exceed 1. For example, the uniquely decomposed into a dilation (size or shape FIGURE 3. Stretching a rubber band with the lines I, 11, and III drawn on it reveals that lines parallel to and perpendicular to the direction of stretch (principal directions of deformation) do not change orientation during the stretch. However, lines not oriented along the principal directions of deformation, such as line III, change orientation. 577 Walley et ai./Left Ventricular Dynamic Geometry Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 rubber band in Figure 3 lengthens to 150% of its original length along line I (principal direction I), so the associated eigenvalue is 1.50 and the rubber band shortens along line II (principal direction II) to 80% of its original length, so the associated eigenvalue is 0.80. Figure 3 illustrates a two-dimensional deformation, so has two eigenvectors and associated eigenvalues; the left ventricle deforms in three dimensions, so it has three principal directions and associated eigenvalues. In short, the eigenvalues quantify the amount of shortening or lengthening along each of the principal directions of deformation. So long as the eigenvalues are different, the eigenvectors are uniquely defined. However, when two of the eigenvalues are identical, the deformation is symmetrical in the plane defined by the two associated eigenvectors, so all directions lying in that plane are principal directions (eigenvectors), and any pair of perpendicular lines in that plane can be principal directions. (This fact may be significant in light of the variability of two of the principal directions at endsystole, when the associated eigenvalues are similar.) Likewise, any three mutually perpendicular directions are principal directions at or near end-diastole, when all three eigenvalues are, by definition, equal to 1. Rotation. The rotation matrix R defines the axis and angle of rotation of the entire heart as it beats. This is a pure rotation in which there is no deformation of the heart. From Equation 5, The other two eigenvalues give the rotation angle, 0 (Appendix B). 6 is zero at end-diastole and positive for righthand rotations about the axis of rotation. Volume Measurement Since the eigenvalues specify the fractional shortening or lengthening in three mutually perpendicular directions, multiplying the three eigenvalues together gives a value which should be directly proportional to ventricular volume. Since all eigenvalues equal 1 at end-diastole, the product A1A2A3 equals the fraction of the end-diastolic volume remaining in the ventricle, in theory 1 minus the ejection fraction. The determinant of the dilation matrix, D, equals the product of its eigenvalues, A1A2A3, and the determinant of the rotation matrix R is 1. Therefore, VE = | R D | = | R | | D | = A1A2A3 (8) where VE is the relative volume, which we denote the eigenvolume. No assumptions about the ventricular shape, symmetry, or placement of markers have been made in deriving this volume. Results (7a) Hemodynamics Table 1 shows that left ventricular end-diastolic and peak systolic pressure and dp/dtmax did not change significantly (P > 0.25) with opening the pleura or pericardium. R = TD- i (7b) One eigenvalue of R is always 1, and the associated eigenvector is the axis about which the heart rotates. Volume Validation Figure 4 shows the linear relationship between the eigenvolume, VE, and the abolute volume in the intraventricular balloon, VA, in the three excised hearts. The eigenvolumes have been referenced to the control = Tn-' We estimate R with TABLE 1 Hemodynamic Data End-diastolic pressure (mm Hg) Open Dog 109 111 116 124 126 127 129 206 213 215 216 217 218 Mean SD dp/dt™, (mm Hg/sec) Maximum systolic pressure (mm Hg) Open Closed chest Open pleura pericardium Closed chest Open pleura Open pericardium Closed chest 3.9 6.6 4.6 4.4 3.5 18.0 174 149 185 115 181 159 3200 2000 3100 2100 3300 2500 2.3 8.1 7.7 8.1 1.9 2.3 15.0 16.0 2.0 2.9 2.1 6.2 3.0 6.2 8.2 3.0 5.0 3.0 4.3 11.3 10.7 129 192 129 171 120 113 98 200 162 156 129 207 127 151 178 164 139 168 145 174 114 138 153 177 2600 3300 4100 3900 2300 3800 2900 3200 2800 3200 3200 3700 2200 3900 3600 2900 2400 3400 3500 3400 1800 3000 4300 2600 5.8 9.4 5.8 116 142 136 1800 2100 2500 5.9 4.0 6.9 4.3 6.8 4.8 145 35 163 42 153 21 3000 3000 3000 710 640 690 2.1 9.0 10.6 periOpen pleura cardium Circulation Research/Vol. 50, No. 4, April 1982 578 beat in the intact dog at the start of each experiment. The deviations between the observed points and the regression line are of the same order as the 2-4 ml uncertainty in the balloon volume measurements and the 0.05 uncertainty in the eigenvolumes. The regression line relating VE to VA could be used as a calibration curve for all data obtained in the experiment. In theory, this regression line should pass through the origin, but it had a positive intercept for all three dogs. This positive intercept means that when the balloon volume is zero, there is still a residual volume defined by the screws. It also means that 1 — VE does not precisely equal the ejection fraction. To estimate the residual volume, let VR denote the residual volume and VAI denote the balloon volume corresponding to an eigenvolume of 1, Then, Eigenvolume, VE i.2r 217 l.O 0.6 25 35 45 55 Balloon Volume, V4 (ml) VE = m VA + b (9) Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 where m and b are the slope and intercept of the regression line. Eigenvolume is related to the balloon and residual volume according to Eigenvolume, VE l.2r (.0, 218 Substitute from Equation 10 into Equation 9, set VA equal to zero, and solve VR. 1.0 VR 0.8 Vc --0O9 VA t .50 r--.93O 0.6 B 25 35 45 55 Bolloon Volume, V4 (ml) 65 Eigenvolume, VE i.2r 301 1.0 = (11) 1-b Using the values for b (0.45, 0.50, 0.65) and VAi (66, 51, 55 ml) in Figure 4 yields estimates of residual volumes of 54, 51, and 94 ml, respectively. This residual volume is an artifact that probably arises from a combination of three factors. First, our analysis assumes the markers are at the endocardial surface, but they are actually 2-4 mm below the surface. A 4-mm shell outside a spherical cavity holding 60 ml has a volume of 35 ml. Second, this residual volume includes the volume of the papillary muscles and other intraventricular structures. Third, the balloon probably does not completely fill the ventricular cavity. These three factors taken together explain the first two residual volumes (54 and 51 ml), but probably will not explain the entire 94-ml residual volume. We cannot explain this discrepancy. We can use Equation 9 to derive a relationship between the true volume ejection fraction and the eigenvolume ejection fraction. By definition, the actual volume ejection fraction is EF A = ( V A D - VA.S)/VAD (12) where the subscripts D and S refer to end-diastole and end-systole, respectively. From Equation 9, 0.6<25 35 45 55 Bolloon Volume, V4 (ml) VA = (VE - b)/m. 65 FIGURE 4. Eigenvolume, VE, correlates well with actual ventricular volume, VA, measured by an intraventricular balloon in all three postmortem hearts we studied. The scatter of points about the regression line is less than the uncertainty of our measurements. (13) Substitute from Equation 13 into Equation 12 to obtain EFA = (VE S - b)/m - (V E D - b)/m - b)/m (14) 579 W'alley et al./ Left Ventricular Dynamic Geometry _ VED - VES _ VED VED-b - VES VEn VE,, V E D -b (15) u the eigenvolume ejection I) fraction and, by definition, VED = 1, so EF A = 1-b EFE (16) Since we found values of b of 0.45, 0.50, and 0.65, the actual volume ejection fraction is approximately twice the eigenvolume ejection fraction. Prediction of Three-Dimensional Screw Positions during Systole Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 To test whether or not the homogeneity assumption led to realistic predictions of screw coordinates, we compared the observed end-systolic screw positions with those predicted from the transformation ). End-systole is defined to be the time minimum dp/dt; this time coincides with aortic valve closure (Abel, 1981; Raff and Gantz, 1981). This procedure is analogous to plotting a regression line with the raw data to observe the size and distribution of the residuals. If the linear model is a good one, the differences between the regression line and points will be small and randomly distributed about the line. In our analysis, if the assumption of a homogeneous deformation is valid, the differences between the predicted and observed coordinates will be small and not depend on location in the heart. Figure 5 shows a comparison of observed end-diastolic (outside) and predicted and observed end-systolic (inside) screw positions. The outside (end-diastolic) screws have been connected to make it easier to interpret the figure. Notice that the end-systolic (inside) points deform considerably from the end-diastolic (outside) points and that the predicted and observed end-systolic points agree well. The predicted points lie on both sides of the observed points (as expected from a best-fitting procedure) which suggests that volume measurements will be accurate despite small inhomogeneities and random measurement errors. To quantify the closeness of the fit, we defined a measure of fit analogous to a standard correlation coefficient, (17) where SSres is the sum of squared deviations (residuals) between the regression line and the data points, and SStot is the sum of squared deviations of the observed points about the mean value (Glantz, 1981). By analogy, we define SSres to be the sum of squared distances (in three dimensions) between the predicted and observed screw positions at end-systole and SStot to be the sum of squared distances between the observed screw positions at end-diastole and endsystole. ANTERIOR FREE WALL SEPTUM APEX FIGURE 5. Predicted and actual screw positions observed in two perpendicular views. Roman numbers indicate end-diastolic screw positions observed in two perpendicular views. Italic numbers indicate end-systolic screw positions. Dots indicate end-systolic screw positions predicted by homogeneous deformation from the end-diastolic screw positions. The outside screws in each view are connected by lines. Solid lines connect measured screw positions, whereas dashed lines connect predicted screw positions. The differences between the observed and predicted systolic screw positions are small compared to the differences between diastolic and systolic screw positions, and of the same order as the size of the screws (2 mmj. r = 0.95 for this beat; Table I indicates that this is relatively poor agreement between predicted and observed screw coordinates, compared to the other beats we analyzed. 580 Circulation Research/Voi. 50, No. 4, April 1982 TABLE 2 Correlations between Predicted and Observed ThreeDimensional Screw Screw Positions at End-Systole Minimum 25 Percentile Median 75 Percentile Maximum Number of beats Closed chest Open pleura Open pericardium 0.838 0.954 0.968 0.986 0.996 0.794 0.937 0.967 0.982 0.994 0.728 0.959 0.978 0.987 0.995 48 39 33 Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 Table 2 summarizes the values of r for the 120 beats we analyzed, r exceeded 0.90 in 111 (93%) of the beats and exceeded 0.95 in 90 (75%) of the beats. Similar high values of r were observed throughout the entire cardiac cycle. These high values indicate that the differences between the predicted and observed end-systolic screw positions were small compared to the difference between measured end-diastolic and end-systolic screw positions. That is, the errors introduced by assuming homogeneous deformation, as well as random measurement errors, are small compared to the actual deformation. Principal Directions and Shortening (Eigenvectors and Eigenvalues of D) To visualize the three mutually perpendicular principal directions of dilation, imagine placing a globe around the heart with the north pole at the midpoint of the aortic valve, the south pole at the apex, and 0° longitude (the Greenwich meridian) passing through the screw implanted in the left ventricular free wall (Fig. 6). [The free wall screw tended to be located anterior of the free wall insertion of the papillary muscle (cf. Fig. 1)] Thus, —90° longitude is anterior, +90° longitude is posterior, and +180° or —180° longitude is on the septum (the international date line). Figure 7A shows an Aitoff equal area projection of the globe in Figure 6, together with the three mutually perpendicular directions of the dilation for a typical systole in a closed-chest dog. Figure 7B summarizes the location of the principal directions for all 13 dogs. Qualitative examination of the locations of the principal directions in the heart did not reveal any systematic changes with opening the pleura or pericardium, and Figure 7B was constucted by pooling information for all analyzed beats. One of the principal directions always lines up generally along the long axis of the heart (Fig. 7B). This principal direction is generally the most stable of the three principal directions during systole. Figure 8 shows the eigenvalues for the same beat illustrated in Figure 7A, and Table 3 summarizes the end-systolic values of the eigenvalues for all dogs with the chest intact, with the pleura open, and with the pericardium open. (Table 3 contains the mean value for all beats for those cases in which we ana- lyzed multiple beats.) These maneuvers did not produce significantly different values of any of these eigenvalues (P > 0.25). These figures and this table show that there is little shortening along the long axis principal direction, given by ALONG- The mean end-systolic value was 0.95, indicating only a 5% shortening. The other two eigenvectors complete the orthogonal set and therefore lie in approximately the equatorial plane of the ventricle. One of the principal directions tends to lie in an anterior-posterior (AP) direction and the other lies at right angles, in approximately a septum-free wall (SF) direction. The meann end-systolic values, 0.84 for AAP and 0.86 for ASF, of these two equatorial eigenvalues were not significantly different (P > 0.25). The similarity in the endsystolic values of AAP and ASF may explain the variability of the associated eigenvectors. These two eigenvalues are, however, significantly smaller (P < 0.0005) than the corresponding values of ALONG, indicating that most of the heart's shape and volume change occurs along directions parallel to the equatorial plane. Whereas the 30 frame/sec sampling rate appears to have been fast enough to compute the eigenvalues accurately, subsequent experiments using a 60 frame/ sec sampling rate (unpublished observations) revealed that it was not fast enough to track precisely the motion of the eigenvectors. Therefore, we have cho^ sen to display the region of systolic motion for each' of the principal directions in each of the dogs in Bose Apex FIGURE 6. Heart enclosed, in the unit sphere used to describe the orientation and motion of the three mutually perpendicular principal directions of dilation. The north pole is toward the base, the south pole toward the apex and 0° longitude along the free wall Walley et ai./Left Ventricular Dynamic Geometry 581 Base Apex Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 116 | "T297T / 217 —"124 / 217 i; / ( . — 2y - • — * 129 / 218 / FIGURE 7. A: Aitoff equal-area projection of three principal directions of dilation on a globe fixed in the heart during the same systole in a closed-chest dog. Meridians are drawn every 30° of latitude and longitude. Each point represents the results from one cine frame, so the points are 1/30 sec apart in time. B and C: Regions enclosing principal directions of dilation during systole for all 13 dogs. — -— y/~ / O9 ^ > V V B —* ~77T——__ IS — — in / / 206 ^i_ 206 2« \ 2I5\ \ 127 / Figure 7, B and C, without making any firm conclusions about the nature of the motion. Resolving that question will have to wait for new data recorded at 60 frame/sec. Since R quantifies the rotation of the entire ventricle, the change in principal axis orientation described here indicates that shortening of the ventricular cavity is occurring in different directions at different times. / These measurements demonstrate that the ventricle does not necessarily contract from end-diastole to end-systole along an anatomically fixed set of directions. In the equatorial plane, shortening occurring early in systole may be in directions that are quite different from the directions late in systole. During isovolumic relaxation and rapid diastolic filling, the apex-base principal direction remained Circulation Research/Voi. 50, No. 4, April 1982 582 e Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 LV dp/dt (mm Hg /s) J -40 LV Pressure (mmHq) -I0 1 Time (s) FIGURE 8. Eigenvalues, eigenvolume, and rotation for the same beat shown in Figure 7A. At the onset of systole, X SF decreases, which indicates shortening along the septum-free wall principal direction. Later in systole, X Ar decreases faster than X SF, reaching about the same minimum value. \ LONG decreases significantly less than A.SF and XAI-, indicating that apex-base shortening is less than cross-sectional shortening. During slow diastolic filling, all directions lengthen slowly and evenly, so no principal directions of deformation are defined. The entire left ventricular cavity rotates slightly during atrial systole, then rotates more in the reverse direction during ventricular ejection. The vertical lines indicate the times of left ventricular end-diastole and dp/dt„,,„. relatively stable and the equatorial principal directions tended to return to their end-diastolic orientations. By the end of rapid filling, the ALONG had increased to 0.99 (mean), ASF to 0.96, and \Ap to 0.96 of their diastolic values. Thus, most of the shape change that occurred during systole is reversed by the end of rapid filling. During late diastolic filling, the eigenvectors have no fixed orientations and change considerably from frame to frame. The lengthening along the three eigenvectors is small (less than 5-10%) and occurs steadily until atrial contraction. The erratic orientation of the eigenvectors may reflect, in part, the fact that the ventricular cavity at this time is small in shape and expands uniformly to the reference end-diastolic shape so the numerical algorithm cannot reliably estimate the eigenvectors. In sum, during late diastolic filling, only small ventricular cavity shape changes occur. Since the lengthening that occurs has no fixed orientation, these changes are consistent with concentric expansion described by Rankin et al. (1976). Volume loading did not produce consistent changes in the basic pattern of deformation. Volume Figure 8 demonstrates the well-known phases of the cardiac cycle: isovolumic contraction, ejection, isovolumic relaxation, early rapid filling, slow filling, and atrial contraction. Table 3 shows that the mean end-systolic eigenvolume is 0.70, corresponding to a 30% eigenvolume ejection fraction, or approximately 60-70% actual volume ejection fraction. The data consistently revealed a small (less than 4%) eigenvolume increase at the time of aortic valve closure in all 13 dogs. Data published by others (Hinds et al., 1969; Mitchell et al., 1969; Rankin et al., 1976; Yellin et al., 1980) shows similar results. Reflux or bulging as the valve closes probably accounts for this small volume change. Volume loading always increased end-diastolic eigenvolume computed with respect to the end-diastolic screw positions during the closed chest baseline experimental condition. Increases in equatorial eigenvalues, not the apex-base eigenvalue, accounted for this increase. Opening the pleura or opening the pericardium did not significantly change end-diastolic or end-systolic eigenvolume, computed with respect by guest on May 5, 2017 0.85 O.c)2 0.85 0.83 0.05 216 217 218 Mean SO 0.89 0.11 0.74 0.84 0.85 0.91 0.80 0.76 0.93 0.84 0.92 0.89 0.99 1.17 0.87 0.83 0.88 0.80 0.93 0.81 0.85 0.89 0.76 0.84 0.79 0.94 0.78 0.85 0.06 Open peric Open pleura pcric = pericardium. ' Bv definition. 213 0.86 0.74 127 215 0.85 126 0.92 0.83 124 0.84 0.75 0.84 116 129 0.86 206 0.77 111 chest Int.ict 109 DOR ASK 0.82 0.06 0.82 0.77 0.76 0.78 0.88 0.87 0.78 0.83 0.70 0.84 0.90 0.79 0.93 Intact chest 0.86 0.06 0.94 0.81 0.85 0.85 0.81 0.89 0.93 0.86 0.74 0.78 0.84 0.89 0.94 0.83 0.05 0.84 0.81 0.78 0.89 0.87 0.88 0.78 0.91 0.83 0.78 0.78 0.88 Open Open pleura peric AI.ONI; 0.94 0.05 0.97 0.04 0.93 0.95 1.01 0.92 0.93 1.02 0.98 0.96 0.95 1.03 0.98 1.01 0.95 0.95 0.05 0.98 0.93 0.98 0.98 0.95 1.02 0.90 0.93 0.99 0.99 0.90 0.85 Open peric End-systole Intact Open chest pleura 0.94 0.95 0.98 0.88 0.91 1.00 1.00 0.93 0.91 1.00 0.99 0.87 0.90 TABIX 3 0,65 0.07 0.59 0.63 0.62 0.57 0.68 0.64 0.72 0.65 0.48 0.71 0.75 0.64 0.71 0.70 0.08 0.75 0.64 0.76 0.63 0.70 0.74 0.78 0.73 0.54 0.68 0.65 0.85 0.68 0.70 0.08 0.62 0.63 0.65 0.80 0.66 0.68 0.65 0.70 0.75 0.68 0.70 0.88 Intact Open Open chest pleura peric VK 4.7 2.2 4.1 0.8 4.8 4.2 4.8 2.7 4.1 7.4 5.8 3.1 5.7 5.2 9.9 4.2 2.3 2.2 6.9 3.0 2.2 8.1 3.6 3.4 6.0 7.6 1.5 4.9 4.3 1.5 5.0 2.9 3.8 5.1 7.3 3.3 1.5 4.4 7.5 7.5 4.5 4.5 0.0 10.8 Intact Open Open chest pleura peric 6 6.9 2.4 4.1 4.3 5.3 5.2 8.7 4.0 9.4 9.7 7.8 5.8 5.7 8.3 11.1 6.9 2.3 5.6 8.2 8.6 2.7 9.0 3.8 5.6 7.8 11.0 6.0 6.3 9.2 5.8 Intact Open chest pleura 0m.,. 7.1 2.7 4.8 7.2 7.5 4.4 4.4 6.1 7.6 0 0 0 0 0 0 0 0 0 0 0 0 8.1 0 5.8 0 0* 18.6 10.9 18.0 13.5 15.2 15.3 13.2 24.6 43.8 21.6 6.7 5.3 28.3 6.3 28.8 31.4 19.0 38.7 11.0 27.2 36.1 23.8 12.1 19.5 22.1 33.2 30.9 38.1 38.8 Intact Open Open chest pleura peric 12.5 4.9 11.9 Open peric 9 0 1.00 1.00* 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00 Intact chest 0.96 0.10 1.00 1.10 0.80 1.03 0.91 0.91 1.16 0.85 0.95 0,84 0.92 0.97 1.04 Open pleura VK 0.93 0.26 1.00 1.14 1.34 0.81 1.00 1.20 1.12 0.91 0.50 0.66 0.77 0.64 Open peric 0.65 0.07 0.59 0.63 0.62 0.57 0.68 0.64 0.72 0.65 0.48 0.71 0.75 0.64 0.71 Intact chest 0.67 0.10 0.75 0.70 0.61 0.65 0.64 0.67 0.90 0.62 0.51 0.57 0.60 0.82 0.70 0.64 0.14 0.63 0.75 0.89 0.65 0.66 0.82 0.73 0.65 0.40 0.42 0.54 0.56 Open Open pleura peric VK End-syst ole Referenced to intact chest end-diasti)le End-distole Eigenvalues, Eigenvolumes, and Rotation Angles Referenced to End-Diastole of Current Beat Circulation Research/VoJ. 50, No. 4, April 1982 584 to the end-diastolic screw positions with the chest intact at the beginning of the experiment. Rotation Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 FIGURE 9. Definition of the spherical coordinate system fixed in the dog used to describe the axis about which the left ventricle rotates. The dog's head points toward the north pole, its chest toward 0° longitude. The rotation matrix R specifies the axis and angle of the rigid-body rotation of the entire left ventricular cavity as it beats. As with the principal directions of deformation, we will describe the orientation of the axis of rotation in a spherical coordinate system. However, unlike the deformation, which we described in a coordinate system that rotated with the heart, we must describe the axis and angle of rotation in a fixed coordinate system that does not rotate with the heart. Figure 9 shows this coordinate system, which is fixed in the dog. With the chest closed, the axis of rotation did not systematically change with respect to the dog during the cardiac cycle. Figure 10A shows the axis of rotation during systole for the beat depicted in Figures 7A and 8. Figure 10B shows the general orientation for the axis of rotation during systole for all the dogs. Figure 8 shows the pattern of rotation with the chest intact. Recall that, by defintion, 0 = 0 at enddiastole. Very little rotation occurs during diastole. Early in systole, there is a small left-hand rotation in Head Toil FIGURE 10. (A) Orientation for the axis of rotation during systole for the beats shown in Figures 7A and 8. (B) Orientation for axis of rotation during systole for all dogs with their chests intact. HEAD SPINE TAIL Walley ef ai./Left Ventricular Dynamic Geometry 585 I2r o o T3 eg o DC 0- Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 0.6 0.8 1.0 1.2 Ekjenvolume FIGURE 11. The rotation of the heart in the chest generally follows ejection, as can be seen from this plot of rotation angle vs. eigenvolume for the beat shown in Figures 7A, 8, and 10A. most dogs that coincides with the a-wave, followed by a larger right-hand rotation (to a mean maximum of 7.0, then falls to a mean of 4.6° at end-systole) (Table 3), that generally follows ejection (Fig. 11). Isovolumic relaxation is accompanied by a rotation back to the diastolic baseline. Opening the pleura and opening the pericardium did not consistently change the magnitude of rotation during the beat (P > 0.25) (Table 3). By contrast, opening of both the pleura and pericardium produces significant (P < 0.0005) changes in the orientation of the heart in the dog's chest. (Recall that the dog is lying on its back). We quantified this change by computing the rotation axis and angle with respect to the closed chest end-diastolic screw positions rather than the end-diastolic screw positions of the current beat. Table 3 shows that, at end-diastole, opening the pleura caused the heart to rotate a mean of 18.6° from its end-diastolic orientation with the chest closed. Opening the pericardium caused a further significant rotation to a mean of 31.4° at the enddiastole. Figure 12 shows the orientation of the axes of rotation describing how the heart changes its enddiastolic orientation upon opening the pleura or pericardium. OPEN PLEURA Axis of Rotation HEAD 'SPINE TAIL FIGURE 12. Orientation of axis about which the left ventricle rotates from end-diastole with the chest intact and end-diastole after the pleura (A), and the pericardium (B) have been opened. OPEN PERICARDIUM Axis of Rotation HEAD SPINE TAIL Circulation Research/Vo^. 50, No. 4, April 1982 586 Discussion Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 Implanted markers that move with the myocardium, such as tantalum screws, provide data on how the heart is deforming as it contracts and relaxes (Sandier and Alderman, 1974). The lack of an integrated, theoretically sound approach to interpreting these data, however, has prevented investigators from extracting much of the physiologically meaningful information from them. In particular, investigators have typically made simplifying assumptions about chamber shape, chamber symmetry, and location of the markers with respect to the principal directions of deformation when making statements about left ventricular dynamic geometry. The analysis presented here avoids these restrictive assumptions. We only need the assumption that the left ventricular cavity deforms homogeneously. This assumption is implicit in most earlier studies. Unlike most assumptions made in the process of describing the left ventricle's dynamic geometry, we could explicitly test the validity of the homogeneity assumption. Most important, there is close agreement between the predicted and observed screw positions, with no systematic errors (Table 1). The facts that eigenvolume varies linearly with the cavity volume (Fig. 4) and that our results do not depend on the point used to remove the translational component of the heart's movement in the chest add more support to the validity of assuming that the left ventricular cavity deforms homogeneously. Our analysis used all the markers to estimate the transformation T—and so the dilation D and rotation R—throughout the cardiac cycle. We found not only that the principal directions of dilation and axis of rotation did not lie along any line connecting two of the screws, but also that the orientation of these principal directions may change with respect to the ventricle's anatomy during the cardiac cycle. An anatomically fixed direction will reflect different contributions of the three different principal directions of deformations at different times (analogous to Line III in Fig. 3). We attempted to distribute the screws evenly around the ventricular cavity so that inhomogeneities in ventricular motion would not prevent obtaining globally representative result. For example, if all the screws had been implanted at the apex, then any difference in deformation of the apex with respect to the rest of the ventricle would have been overemphasized. Apart from this consideration, the consequence of the theoretical derivation is that endocardial markers need not be placed in perpendicular planes or other fixed configurations. In fact, T, in theory, does not require the precise placement of screws at any specific anatomical sites. By repeating the analysis with different sets of markers, we tested this assumption in several dogs that had many tantalum screws in place. The differences in the results were less than the measurement error. With one important exception, the screws included in the analysis did not affect the results. If one includes both of the aortic screws in the computation of T, the result is a marked deterioration in the quality of the fit between the observed and predicted marker positions, together with a decrease in the amount of shortening observed in each of the principal directions. The result occurs because the aortic valve ring does not deform homogeneously with the rest of the cavity. This result is itself indirect evidence in favor of the assumption that the cavity deforms homogeneously, since if one introduces a significant inhomogeneity (e.g., the aortic valve ring), it produces a noticeable deterioration in the fit. Opening the chest and opening the pericardium affect ventricular function (Rushmer, 1954a; Leshkin et al., 1972; Glantz et al., 1978; Stokland et al., 1980) and, therefore, possibly affect ventricular dynamic geometry. Even in chronic studies, Rushmer (1954b) has noted the formation of large pleural and pericardial adhesions which may alter dynamic geometry. By avoiding constraints of precise placement of wall markers, surgical manipulation was reduced to inserting a steerable catheter through a carotid artery. Therefore, we could obtain measurements without opening the chest and we could quantitate the effects of opening the pleura and the pericardium. The resulting data revealed that these manipulations led the heart to change significantly its orientation in the chest, but not end-diastolic or end-systolic eigenvolume or the pattern of contraction. Stokland et al. (1980) observed similarly modest changes in chamber geometry with the pericardium open; they concluded that the major acute effect of opening the pericardium occurred on the pressures, not on the dimension. Our failure to find a change in pressure may have been due to limitations in the pressure amplifiers, the time delay between taking the open pleura and open pericardium data, or differences in the dogs' volume status due to the slow infusion that was maintained during the experiment. The transformation T can be used to estimate the change in any ventricular length, area, or shape simply by multiplying T by the matrix containing the points defining that length, area or shape. This information, together with the relative volumes (eigenvolumes), could provide a tool to help clarify the significance of the results of common experimental methods (such as measurement of chords or segment lengths using pulse transit time ultrasonic crystals) or clinically useful techniques (such as angiography or echocardiography). Our measurements, being more fundamental than those obtained with other techniques, offer a firmer basis for earlier notions of cardiac geometry. There is a relatively stable long axis and perpendicular to this axis, the relative deformations (quantified by the eigenvalues AAP and XSF are larger and similar. We implanted the screws endocardially, outlining the left ventricular cavity. Therefore, this study describes chamber dynamic geometry. The approach outlined here could be modified to study mid-wall or Walley et ai./Left Ventricular Dynamic Geometry Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 epicardial dynamic geometry, depending on screw placement. Inhomogeneities of segmental differences in wall motion of normal and pathological hearts can be studied using the same analysis. One would simply examine smaller segments of the wall with this linear analysis, analogous to fitting a curved line with small straight line segments. (T can be computed from as few as three screws.) As the region of the ventricular cavity which is assumed to deform homogeneously gets smaller, the assumption of homogeneous deformation gets even more accurate. In fact, our work was motivated by the use, by Meier et al. (1980a, 1980b), of a similar analysis to study the deformation and rotation of very small regions of the right ventricular myocardium. They showed that the principal directions of deformation appear to line up with local fiber orientation and that rotations appear consistent with the combined effects of myocardial fiber orientation and depolarization pattern. Our results, together with previous experimental and theoretical work, suggest that, during systole, the shape and rotation of the deforming ventricle depends on the pattern of electrical activity (Hotta, 1967), and the fiber orientation of the myocardium (Streeter and Ross, 1980). During slow filling, the principal directions of deformation are ill-defined, and the rates of change of all the eigenvalues are similar. This pattern of deformation suggests a symmetric expansion, which, in turn, suggests that the late diastolic ventricle is reflecting the relatively isotropic elastic (or viscoelastic) properties of the myocardium. This fact may explain why simple models of late diastole based on the seemingly unrealistic assumption of a spherical cavity comprised of homogeneous and isotropic myocardium still agree with experimental data (Glantz and Kernoff, 1975). This paper presents the first measurement of the heart's rotation in the chest that did not require any assumptions about the orientation of the axis of rotation. The results are similar to those obtained by Mirro et al. (1979), who tracked a papillary muscle by means of echocardiography. They also appear quantitatively and qualitatively similar to predictions of torsion about the left ventricle's long axis predicted by Arts et al. (1980) on the basis of the helical fiber orientation of the myocardium. While we may be measuring this torsion, there are two reasons for doubting that this is the case. First, by assuming homogeneous deformation we by definition exclude torsion. Second, the axis of rotation, r, does not align in any consistent way with the principal direction associated with ALONGThe description of ventricular dynamic geometry as outlined here yields important new information for three reasons. First, the description is more objective than earlier approaches since it does not rely on shape assumptions, on orientation of the measuring device, or on precise marker placement. The directions of deformation and corresponding amounts of shortening are determined whether or not wall markers are implanted at specific sites or in specific planes. Sec- 587 ond, although the use of linear transformations to describe deformations of the left ventricle is new, it is based in a large body of knowledge concerning deformation of materials and spaces. The analysis and results in this paper provide a step toward applying methods of classical physics to obtain a better understanding of cardiac function. Third, and most important, the description of dynamic geometry follows from a truly three-dimensional analysis of shape of the entire ventricular cavity, rather than a one- or two-dimensional analysis based on one or two measured parameters. Although the approach described here applies well to the normal heart, there are several important questions that need to be answered to determine the generality of the results. Is the assumption of homogeneous cavity deformation tenable in the presence of inhomogeneous local deformation, such as occurs when part of the left ventricle is ischemic or infarcted? What errors are introduced by torsion of the heart about its long axis (Arts et al., 1980)? How would abnormal patterns of depolarization affect the results? Nevertheless, this approach has yielded a description of how the normal heart contracts under various physiological conditions that is more complete than was possible with existing techniques. These results can be simply interpreted in terms of cardiac electrophysiology and structure; they can, as well, provide a standard against which to compare other experimental and theoretical approaches. Appendix A Least Squares Estimate of T(t) from Screw Coordinate Matrices Let XED and X(t) be the 3xn matrices of screw coordinate matrices observed at end-diastole and time t. Then, from Equation 3, let the 3x3 matrix T(t) represent a homogeneous deformation (linear transformation) that predicts screw positions at time t from the screw coordinates at end-diastole according to X(t) = T(t)XED. (A.I) Let A be the 3xn matrix of deviations between the predicted and observed screw coordinates A = X(t) - X(t) = T(t)XED - X(t). (A.2) Therefore, the sum of the squared deviations (distances) between the predicted and observed screw positions is Q = 22apjp = trace AAT. (A.3) We now find the transformation f(t) which minimizes Q. A is a minimum when all elements of the 3xn matrix dQ/dT equal zero. For simplicity, let X(t) = X and T(t) = T; then Equation A.2 becomes (A.4) A = TXED - X and A'=X E D T'-X' T (A.5) T T AA = (TXED - X)(Xl D T - X ) (A.6) Circulation Research/Vo/. 50, No. 4, April 1982 588 AA T = T X E D X I D T T - XX^ D T T T - TX ED X + XX AA T = T ( X E D X E D ) T T - (XXi D )T T T T - [(XXED)T ] (A.7) T + XX (A.8) T Q will therefore be given by the sum of the traces of each term in Equation A.8. Because the second and third terms are transposes of each other, their traces are identical and Q = trace [T(X E DXED)T T - 2(XXED)T T + XXT]. (A.9) To compute dQ/dT we use the facts that if C and T are square matrices d (trace CTT) dT This routine returns the eigenvectors ordered according to the magnitudes of the associated eigenvalues and with arbitrary sign. It is necessary to compare each E matrix with that computed from previous frames and permute the comumns of E to produce results in which a given eigenvalue and eigenvector correspond to the same principal axis throughout the cardiac cycle. We do this in two steps. First, we ensure that the three columns of E define a righthand system by computing | E |. If this determinant is negative (indicating a lefthand system), we reverse the sign of the last column of E. Second, we permute the columns of E to maximize the trace of EEL T where EL represents a weighted sum of the last three matrices of eigenvalues. EL = 0.5 E-i + 0.3E-2 + 0.2E-3 _ (A. 10) and if C is symmetric, d (trace TCT T ) = 2TC. dT (A.11) (E-i, E_2, and E_3 are initialized to the identity matrix at end-diastole.) This procedure minimizes the three-dimensional angular change between the three orthogonal unit vectors given by E and EL. To find the axis and angle of rotatdom from R, first calculate R from Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 Since XXED is a square (3x3) matrix and XED XED is a R = TD1 symmetric matrix dT + 0. — 2T(XEDXED) — 2 f = XXEDCXEDX^D]" 1 (B.8) (A.13) The axis of rotation is the eigenvector of R associated with eigenvalue 1. We compute the eigenvalues and eigenvectors of R using a norm reducing Jacobi type method (Eberlein and Boothroyd, 1971) and identify the eigenvector whose eigenvalue is closest to 1 as the axis of rotation, r. We adjust the sign of t to make r •ft,positive, where (A.14) ft = 0.5r_i + 0.3r_2 + O.2r_3 (A. 12) The best estimate, T, is the value that makes dQ/dT = 0: 0 = 2f (XEDXID) - 2 (XXED) (B.7) which is Equation 4. (B.9) as in Equation B.7. The remaining two eigenvalues form a complex conjugate1 pair that describe the angle of rotation. Rather than use this information to compute the rotation angle directly, it is computationally simpler to multiply R by Appendix B Polar Decomposition of T Given ri T=RD, (B.I) TT = DTRT (B.2) hence, (B.10) nr2 + r3 Lnr3 which represents a 90% righthand rotation about r [ T , then make use of the fact that and trace R = 2 cos 6 + 1 T T T T T = D R RD. (B.3) However, R represents a pure rotation (an orthogonal transformation), so R"1 = RT, and Equation B.3 becomes T T T = D T D. trace PR = 2 cos(0 + 90°) + 1 D is a symmetric matrix, so D = D, and (B.12) and (B.4) T DD = D 2 = T T T. (B.ll) - 1 trace PR"1 0 = cos 90°. (B.13) (B.5) 2 Since D is symmetric, D is symmetric. D 2 can be diagonalized to the matrix A2 by computing a similarity transformation given by the matrix E. A2 = E'D'E. (B.6) 2 E also diagonalizes D, so the eigenvectors of D (and D ) are the columns of E. The eigenvalues of D are just the square root of the eigenvalues of D 2 , which are also the three diagonal elements of A2. We compute the eigenvalues and eigenvectors of D 2 using subroutine EIGEN in the Digital Equipment Corporation Scientific Subroutines Package which uses the Jacobi method as adapted by Von Neumann (Ralston and Wilf, 1962). We thank William Parmley, Julien Hoffman, David Bristow, John Tyberg, Robert Willett, Bruce Brundage, Jonathan Melvin, George Meier, and Harold Sandier for their useful suggestions during our work and their thoughtful criticism of the manuscript. We thank Referee 2 for his thorough review and suggesting the derivation in Appendix A. We thank Donald Holmes for helping digitize the films. Dean Forbes for getting the results into our computer, Gordon Dower and David Berghofer for suggesting the Aitoff equal-area projection of the globe and providing software to draw the pictures, Ed Stokes for writing usable and accurate programs to do the analysis. We thank Jim Stoughton and Rich Sievers for technical assistance. We thank Larry Wood for making it possible for Keith Walley to visit the CVRI, Mary Hurtado for typing the manuscript, and Mary Helen Briscoe and Rene Meier for preparing the illustrations. Walley et al./Left Ventricular Dynamic Geometry Funds for the support of this study have been allocated by the NASA-Ames Research Center, Moffet Field, California, under Interchange No. NCA2-OR665-905, by NIH Research Grant HL25869, Program Project Grant HL-06285, Training Grant HL-01792, and by the San Francisco Division of the University of California Academic Senate. Dr. Glantz holds an NIH Research Career Development Award. Address for reprints: Stanton A. 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K R Walley, M Grover, G L Raff, J W Benge, B Hannaford and S A Glantz Downloaded from http://circres.ahajournals.org/ by guest on May 5, 2017 Circ Res. 1982;50:573-589 doi: 10.1161/01.RES.50.4.573 Circulation Research is published by the American Heart Association, 7272 Greenville Avenue, Dallas, TX 75231 Copyright © 1982 American Heart Association, Inc. All rights reserved. Print ISSN: 0009-7330. Online ISSN: 1524-4571 The online version of this article, along with updated information and services, is located on the World Wide Web at: http://circres.ahajournals.org/content/50/4/573 Permissions: Requests for permissions to reproduce figures, tables, or portions of articles originally published in Circulation Research can be obtained via RightsLink, a service of the Copyright Clearance Center, not the Editorial Office. 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