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Anatomically Realistic Patient-Specific Surgical Planning of Complex Congenital Heart Defects Using MRI and CFD Kartik S. Sundareswaran1, Diane de Zelicourt1, Kerem Pekkan1, Gopinath Jayaprakash1, David Kim1, Brian Whited2, Jarek Rossignac2, Mark A. Fogel3, Kirk R. Kanter4, and Ajit P. Yoganathan1 1.) Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech, Atlanta, GA 2.) College of Computing, Georgia Tech, Atlanta, GA 3.) Children’s Hospital of Philadelphia, Atlanta, GA 4.) Pediatric Cardiothoracic Surgery, Children’s Healthcare of Atlanta, Atlanta, GA Abstract— Single ventricle congenital heart defects, which are characterized by cyanotic mixing between the oxygenated and de-oxygenated blood, afflict 2 per every 1000 live births. These defects are surgically treated by connecting the superior and inferior vena cava to the pulmonary arteries. However, such a configuration (also known as the total cavopulmonary connection), results in high energy losses and therefore the optimization of this connection prior to the surgery could significantly improve post-operative performance. In this paper, a surgical planning framework is proposed. It is exemplified on a patient with pre and post surgical MRI data. A pediatric surgeon performed a “virtual surgery” on the reconstruction of the patient’s anatomy prior to the actual surgery. Post-operative hemodynamics in the virtually designed post-surgical anatomy and in the actual one are computed using computational fluid dynamics and compared to each other. This framework provides the surgeon to envision numerous scenarios of possible surgical options, and accordingly predict the post operative hemodynamics. Index Terms – Surgical Planning, Magnetic Resonance Imaging, Computational Fluid Dynamics S side of the heart. This pressure build up may be a possible explanation for the complications typically observed in these patients including congestive heart failure, liver dysfunction, protein losing enteropathy, limited exercise capacity, systemic venous hypertension, hepatic and pulmonary congestion, valvular and myocardial dysfunction. Among the parameters that come into play, one over which the surgeons have some control is the design of the surgically created connection. Significant work has been done in understanding the fluid dynamics of the TCPC, underscoring the tight relationship between design and associated pressure drops and energy dissipation. However, no work to date has been done towards a systematic surgical planning of the TCPC, trying to optimize its design for every single patient, in an effort to reduce pressure losses and improve their longterm outcome. I. INTRODUCTION ventricle congenital heart defects afflict 2 per every 1000 live births. These defects are characterized by the mixing between the oxygenated blood from the systemic circulation and the de-oxygenated blood from the pulmonary circulation, leading to acute cyanosis. “Fontan repairs”, which designate the current surgical procedure of choice, are performed in three stages with the anastomosis of the superior (SVC) and inferior (IVC) vena cava onto the pulmonary arteries in the 2nd and 3rd stage, respectively (see Fig.1 and Fig.2). The resultant vascular anatomy is called the total cavopulmonary connection (TCPC). It establishes a complete bypass of the right side of the heart thus restoring the vital separation between pulmonary and systemic circuits. Unfortunately, these repairs are palliative and not curative. Survivors often require a lifetime of intensive medical attention. Clinicians report that over 50% of their time must be devoted to the 20% fraction of their patients having this complex cardiovascular physiology. Due to the absence of the right ventricular pump, Fontan patients are reported with higher pressures than normal in the systemic return so as to provide the pressure head necessary to drive the flow through the pulmonary circuit and back to the left INGLE a.) b.) Fig 1. Anatomic reconstruction of a stand alone preFontan (a) and with all the surrounding cardiac structures included (b). A large anatomic database of patient-specific TCPC anatomies was compiled in our laboratory. Through a global analysis of the main geometrical parameters and detailed analysis of selected TCPC geometries1-5, several parameters have been identified that can be used towards the optimization such as the offsets between the SVC and the IVC3, 6, size of the IVC baffle2, and the type of connection from the IVC to the pulmonary arteries (extracardiac or intraatrial)7. Based on this knowledge, we established a surgical planning methodology that allows the surgeons to envision different surgical scenarios for the 3rd and final stage of the TCPC procedure and assess their hemodynamic performances. This paper describes the surgical planning methodology in detail, taking the example of a patient with known pre and post-Fontan cardiac anatomy. Pre- and post-cardiac anatomies were reconstructed from magnetic resonance images (MRI) using an in-house segmentation and reconstruction scheme. A pediatric cardiac surgeon was blinded to the actual post-operative anatomy and asked to virtually connect the IVC to the pulmonary arteries. Computational fluid dynamic (CFD) simulations were conducted in the virtually designed and actual post-operative anatomy and the computed energy losses were used as a metric for comparing the performance of both designs. Fig 2. The actual post-Fontan geometry of the patient based on post-operative MRI B. Surgical Planning and Free Form Anatomy Deformation We have previously developed a surgical planning environment called SURGEM12, which provides intuitive operations to edit complex vascular anatomies as needed for our surgical planning purposes. The real-time shape editing capabilities of SURGEM are based on a mathematical model of free-form deformations (FFD) that are weighted averages of pose-interpolating screw motions13, 14, originally developed for editing motions that interpolated userspecified position and orientation constraints. This in-house mathematical tool is integrated with a new Human-Shape Interaction (HSI) methodology that uses two commercially available six degrees of freedom haptic devices, to control the parameters of the FFD by simple and natural gestures of both hands. As a result, SURGEM supports the intuitive manipulation of shape with both hands through natural gestures that grab, move, bend, and twist the desired portion of the shape. a.) b.) II. METHODOLOGY A. Anatomic Reconstruction and Model Generation A stack of axial MRI slices was acquired in a patient who had undergone the second stage Bidirectional-Glenn procedure and was scheduled for the third stage Fontan operation. The anatomy of the bidirectional Glenn connection was segmented and reconstructed using our inhouse bouncing ball segmentation algorithm8, 9. Because it does not depict anatomic constraints that a surgeon experiences in the operating room, solely segmenting the 2nd stage anatomy by itself is insufficient for surgical planning purposes. Surrounding cardiovascular structures were thus segmented as well including heart, pulmonary veins, aorta, and IVC stump, which serve as landmarks for the surgeon to connect the artificial conduit. All structures are segmented individually and merged together using Raindrop Geomagic Studio (Triangle Park, North Carolina) to obtain a representation of the single ventricle anatomy (Fig 1). This combined reconstruction was then used as an input to an anatomy modifying tool10, 11 that was used to identify the best spatial arrangement of the IVC conduit given the cardiac anatomy of the patient. c.) d.) Fig. 3: The process of surgical planning. a.) and b.) Two different views of the artificial conduit connected to the preFontan geometry using the anatomical constraints. c.) The heart, pulmonary veins, and the aorta, subtracted out of the reconstruction. d.) The stitched anatomical model ready for CFD. The complete cardiovascular anatomic reconstruction of the single ventricle anatomy was imported into the tool. A pediatric cardiac surgeon was blinded to the actual postoperative anatomy and was asked to connect the IVC from the stump included in the segmentation to the pulmonary arteries given the anatomic space constraints (Fig. 3b). The heart, pulmonary veins, and the aorta were then subtracted from the anatomy, and only the simulated TCPC was retained (Fig. 3c). The artificial TCPC conduit was then stitched to the PAs using Raindrop Geomagic (Triangle Park, North Carolina) (Fig. 3d), and this geometry was used for performing the computational fluid dynamic (CFD) simulations in order to compare the hemodynamics of the simulated surgical planning model with the actual Fontan model. C. Computational Fluid Dynamics The simulated anatomic lumen surfaces and the actual post-Fontan anatomic lumen surfaces were exported to GAMBIT (Fluent Inc., Lebanon, NH) for mesh generation. Mesh independency was achieved at around 600,000 4-node tetrahedral elements. Grid verification runs were done previously for similar anatomies in previous studies4, 5. For both the models, steady-state flow fields were computed using the parallelized segregated finite-element CFD solver FIDAP (Fluent Inc., Lebanon, NH). The pressure projection algorithm both with the standard first-order and stream-wise upwinding scheme was used, which also demonstrated good agreement with the in vitro experiments in our previous studies with more complex anatomical models. In order to prescribe in vivo flow rates in the CFD simulations, phase contrast MRI (PC MRI) data were acquired concurrently to the stack of images used for the anatomical reconstruction. Accordingly, the preoperative anatomy was run using the mean pre-operative in vivo flow rates of 0.7, 0.28, and 0.42 L/Min at the SVC, LPA and RPA, respectively, while both the actual and the virtual post-operative anatomies were run using the mean in vivo post-operative flow rates of 1.05, 0.79, 0.86, 0.73 L/min at the IVC, SVC, LPA and RPA, respectively. a.) b.) Fig. 4: Stream traces of the flow fields obtained from the CFD results of the pre-Fontan model. a.) vector fields along a plane of the mode; b.) streamlines color-coded by velocity magnitude III. RESULTS Shown in Fig.1 are the reconstructions of the original bidirectional Glenn (pre-Fontan) model as well as the surrounding anatomic structures that were used as anatomic landmarks for performing the surgical planning. Fig 2 shows the 3D anatomic reconstruction of the actual post-operative TCPC anatomy. Fig. 3 shows a step by step demonstration of the artificial baffle being connected onto the bidirectional Glenn. Fig 4 and 5 show sample results from the CFD simulations that were conducted in the pre- and postoperative anatomies. The power losses were of 0.58 mW for the actual post-Fontan anatomy and 1.36 mW for the virtually designed one. a.) b.) c.) d.) Fig. 5: CFD results depicting a comparison of flow fields between the TCPC obtained using the presented surgical planning methodology (a-b), and the actual post-Fontan anatomy. As can be seen there are differences between the flow fields between the modified TCPC and the actual TCPC. The stream traces on the left are color coded according to the vessel from where they were released: red corresponds to the IVC, while blue corresponds to the SVC. The stream traces on the right are color coded according to the velocity magnitude. The total flow rate through the connection was of 0.7L/min pre-operatively, and 1.84L/min post-operatively. This increase was mainly due to the IVC flow being brought into the connection. The actual post-operative TCPC is an extracardiac baffle with a mean IVC diameter of 1.73 cm and hardly any IVC-SVC offset. On the opposite, the surgeon who performed the virtual surgery created an extracardiac connection using a baffle of size 1.4 cm in diameter and slightly offset the IVC baffle towards the RPA. Both anatomies display helical flow patterns in the PAs and fairly streamlined flow in the SVC. Rather uncommonly, the in vivo flow data for that patient revealed a pulmonary flow ratio of 56/44 LPA/RPA that favored left lung perfusion. Due to the IVC-SVC offset, the IVC flow of the virtual anatomy impinged on the superior RPA wall before being redistributed to both lungs, while the SVC flow solely went to the RPA. In the actual post-Fontan anatomy, SVC and IVC streams collided head on, mixed and were then redistributed to both lungs. IV. DISCUSSION In his virtual design, the surgeon chose to include an offset, which had previously been shown to be beneficial in terms of power losses3. This however is not the case here and the energy losses computed in the virtual extra-cardiac anatomy (1.36mW) were actually higher than those computed for the actual post-operative anatomy (0.58mW). The primary reason for this increased energy dissipation is the smaller sized baffle used in the virtual design when compared to the actual one. Energy losses in the virtual design could have been lowered further by increasing the baffle size. However, it has also been shown that important mismatches between the baffle size and the diameters of the connecting vessels yielded detrimental flow features such as regions of flow stagnation or recirculations. For a proper surgical-planning scenario, the surgeon should thus have tested-out several baffle sizes and used the results of the corresponding CFD simulations to decide on which one was the optimal, as there is a tradeoff between reduced power losses and increased adverse flow features. In addition it has been previously shown that small differences under resting conditions may actually have a large impact in exercise situation when increased cardiacoutput would result in increased energy losses. V. CONCLUSION AND FUTURE WORK A novel surgical planning methodology applicable for children born with congenital heart defects is presented. This methodology allows the surgeons to envision different surgical scenarios and test their hemodynamic efficiency. If implemented clinically, this tool would be the perfect platform for surgeons to test implementation techniques they do not know, or even visualize procedures envisioned by others. Work is currently underway for studying the effects of conduit size, angle, and curvature in addition to semiautomatic optimization strategies that could provide the most efficient surgical connection prior to the surgery itself. VI. ACKNOWLEDGMENTS This study was funded by the National Heart Lung and Blood Institute, grant HL67622. VII. REFERENCES 1. de Zelicourt DA, Pekkan, K.,Parks, J.,Kanter, K.,Fogel, M.,Yoganathan, A. P. Flow study of an extracardiac connection with persistent left superior vena cava. J Thorac Cardiovasc Surg 2006; 131(4):785-91. 2. de Zelicourt DA, Pekkan K, Wills L, et al. In vitro flow analysis of a patient-specific intraatrial total cavopulmonary connection. Ann Thorac Surg 2005; 79(6):2094-102. 3. Ensley AE, Lynch P, Chatzimavroudis GP, et al. Toward designing the optimal total cavopulmonary connection: an in vitro study. Ann Thorac Surg 1999; 68(4):1384-90. 4. Pekkan K, de Zelicourt D, Ge L, et al. Physics-driven CFD modeling of complex anatomical cardiovascular flowsa TCPC case study. Ann Biomed Eng 2005; 33(3):284-300. 5. Pekkan K, Kitajima HD, de Zelicourt D, et al. Total cavopulmonary connection flow with functional left pulmonary artery stenosis: angioplasty and fenestration in vitro. Circulation 2005; 112(21):3264-71. 6. Ensley AE, Ramuzat A, Healy TM, et al. Fluid mechanic assessment of the total cavopulmonary connection using magnetic resonance phase velocity mapping and digital particle image velocimetry. Ann Biomed Eng 2000; 28(10):1172-83. 7. Sundareswaran K.S. Fogel M.A., Pekkan K.P., Kitajima H.D., Parks W.J., Sharma S., Yoganathan A.P. Viscous Dissipation Power Loss of the Total Cavopulmonary Connection Evaluated Using Phase Contrast Magnetic Resonance Imaging. Proceedings of the American Heart Association Annual Scientific Session 2006 2006. 8. Frakes DH, Conrad CP, Healy TM, et al. Application of an adaptive control grid interpolation technique to morphological vascular reconstruction. IEEE Trans Biomed Eng 2003; 50(2):197-206. 9. Frakes DH, Smith MJ, Parks J, et al. New techniques for the reconstruction of complex vascular anatomies from MRI images. J Cardiovasc Magn Reson 2005; 7(2):425-32. 10. Pekkan K. SD, Parks W.J., Kitajima H., Salee D., Fogel M., Yoganathan A.P. Pre-Fontan surgery computational fluid dynamic analysis of three Glenn stage anatomies, Effects of innominate vein and upper-lobe RPA branch. The American Society of Mechanical Engineering Conference. Vail, CO, 2005. 11. Pekkan K. ZD, Sorensen D, Kitajima H, Yoganathan A.P. Surgical Planning of the Total Cavopulmonary Connection Using MRI, Computational and Experimental Fluid Mechanics. 3rd European Medical and Biological Engineering Conference, EMBEC Prague, Czech Republic, 2005. 12. Rossignac J, Pekkan K, Whited B, Kanter K, Yoganathan A , Proceedings of . Surgem: Next Generation CAD tools targeting anatomical complexity for patientspecific surgical planning. ASME-Bio2006 Summer Bioengineering Conference. Florida, 2006. 13. Rossignac J. Compressed Piecewise Circular Approximation of 3D Curves. Computer-Aided Design 2003; 35(6):533-547. 14. Rossignac. J. “Dynapack: Space-Time compression of the 3D animations of triangle meshes with fixed connectivity”,. Tech Report GIT-GVU-03-08.ACM Symposium on Computer Animation (SCA), 2003.