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Analysis of Coronary Circulation: A Bioengineering Approach Ghassan S. Kassab Dept. of Bioengineering, UC San Diego Presented by M.S. Ju 1. Introduction Coronary blood circulation: supply O2 and nutrients to heart; remove waste products. Hemodynamics characteristics – Phasic arterial inflow & venous outflow – Spatial & temporal flow heterogeneity – Vascular compliance & zero-flow pressure – autoregulation Modeling of steady-state blood flow in diastolic, maximally vasodilated state of coronary vasculature Effects of systole, vasoactivity & timevarying boundary conditions Bioengineering approach – – – – Vascular geometry & branching pattern Mechanical properties Rheology of blood Apply Physical laws to get governing equations & boundary conditions Goals Review morphometric data of coronary vasculature & its hemofynamic applications Mechanical properties of coronary vessels New pressure-flow relationship by considering interaction of blood flow & vessel elasticity 2. Innovation in Morphometry of Coronary Vasculature Diameter-defined Strahler ordering system Distinction between series & parallel vessel segments Connectivity matrix - asymmetric branching pattern Longitudinal position matrix – position of daughter vessel Applications Anatomy of coronary vasculature in pig and complete set of data Capillaries & veins in health as well as right ventricular hypertrophy 3. Anatomy of Coronary Vasculature RCA- right coronary artery LCCA- left common coronary artery LAD- left anterior descending artery LCx – left circumflex artery Cast of porcine left anterior descending artery 1cm Cardiac Arterioles Venule in porcine left ventricle Venous flow return to heart R.1 great cardiac vein – posterior vein of left ventricle – posterior interventricular vein – oblique of Marshal – anterior cardiac vein – coronary sinus – right atrium R.2 smallest cardiac veins of Thebesius – endocardial surface & drains – heart chamber (right ventricle) Branching patterns of cardiac vessels Porcine coronary arteries & endocardial veins have tree-like branching patterns Coronary capillary vessels has nontree-like topology 4. Mathematical description of coronary arterial and venous trees Order of vessels Zero – capillary +1 – smallest arterioles supplying blood to capillaries -1 – smallest venules draining capillaries +2 – confluent of two arterioles of order 1 (if its diameter > diameter of order 1) -2 - confluent of two venules of order 1 (if its diameter > diameter of order 1) All arterioles: 1,2,3,4,5,…, n All venules: -1, -2, -3, …., -n, Anatomy of Coronary Blood Vessels Connectivity matrix Longitudinal position matrix Measured variables – Order no. – Diameter – Length – Connectivity matrix – Longitudinal position matrix – Fraction of vessels connected in series 5. Mathematical description of capillary Network Capillary vessels – order # 0 Capillaries fed directly by arterioles C0a Capillaries drained into venules - C0v Capillaries connected to C0a & C0v – C00 Connection patterns: Y, T, H, HP (hairpin); anastomosesed via transverse cross-connection Ccc 6. Hemodynamic Applications of Morphometric Data 6.1 Analysis of total crosssectional area and blood volume Arteriole total cross-sectional area An = π 4 Dn2 N n Venule total cross-sectional area; ellipse major axis a, minor axis b π bn An = a ( ) an 4 2 n Total blood volume Vn = An Ln 6.2 Pressure & flow resistance 6.2.1 Arterial tree connectivity & longitudinal matrices and vascular morphometric data can be used to do hemodynamic analyses ∵ Reynold no. & Wormsley no.are small ∴ Poiseuille’s flow can be applied (steady-state, laminar, Newtonian, rigid vessels) Volumetric flow between node I & node j Qij = π 128 ∆Pij Gij whereGij = Dij4 µij Lij Viscosity 4.0 cp for order no. 11-5 and decreases linearly with order no. to 2.0cp in Pre-capillary arteriole mj ∑Q i =1 ij = 0 ( 4) sign convention '+' into a node, '-' out of a node mj ∑ [P − P ]G i =1 i j ij = 0 (5a ) Boundary conditions: At Sinus of Valsalva P = 100 mmHg At first bifurcation of capillary network P = 26mmHg In matrix form GP=G’P’ (6) G~ nxn conductance matrix P~ 1xm column vector of unknown nodal pressure G’P’~ boundary pressure times conductance of attached vessels Remarks: Re-examination of assumptions can be checked by Reynold’s no. & Womersly’s no. Re = UD ν U : mean flow velocity; D : blood vessel lumen diameter; ν : kinematic viscosity of blood D ω Wm = 2 ν ω : circular frequency of pulsatile flow heart rate 110cycle/m in FACT: Re < 120, Wm < 1 for n < 9 Correction of loss due to bifurcation: Bernoulli’s equation 6.2.2 Capillary Network Topology of coronary capillary blood vessel – not tree-like structure Cross connection make uniform distribution of pressure and blood flow Capillary network is simulated based on: geometry, branching pattern, distensibility and blood rheology At capillary dimension, nature of blood cells is important and it is non-Newtonian Viscosity is not constant - apparent viscosity 1 U −2 2 µ app = [k1 + k 2 ( ) ] D U ~ mean velocity of blood D ~ diameter of capillary vessels k1 , k 2 depends on vessel diameter, hematocrit & shear rate experimentally determined in rigid glass tube & in vivo 6.2.3 Venous tree Morphology and connectivity of venous tree are used to simulate flow by consider – Vascular connectivity – Longitudinal position of bifucation – Vascular geometry – Distensibility – Boundary conditions All together, one can simulate pressure-flow relationship of coronary circulation Coronary veins & venules are elliptical tubes Modification of Poiseuille’s flow is necessary 2 v y w b u a x z 2 x y w = 2U [1 − − ] (9) a b dP = µ ∇2w dz dP a2 + b2 = −4µU ( 2 2 ) (10) dz a b dP − a2 + b2 dz ( 2 2 ) ∴U = a b 4µ dP π a 3b 3 ( − ) π a 3b 3 dz Q = π a bU = =− ∆P 4µ (a 2 + b 2 ) 4µ L (a 2 + b 2 ) − ∆P = R π a 3b 3 ∴R = note : ∆P < 0 2 2 4µ L (a + b ) 7. Distensibility of coronary vessels Elasticity of blood vessels is important determinant of pressure-flow relationship Pressure affects vessel diameter and blood vessel diameter control pressure distribution (interact through B.C.) Important features of distensibility – Linear in physiological range – Compliance is small, i.e. epicardial arteries are relative rigid in diastolic state 8. Steady Laminar Flow in an Elastic Tube If distensibility of blood vessels is known, mechanics of vessel is coupled to mechanics of blood flow to yield pressure-flow relationship Assumptions: – Tube is long & slender – Flow is laminar & steady – Disturbance due to entry & exit are negligible – Deformed tube is smooth & slender dP 128µ Q − = 4 dz π D P ~ pressure, z ~ axial coordinate, Q ~ volume flow rate D & µ ~ Diameter & viscosity Note : D = D(z) In physiological range D - D* = α ( P − P * ) (14) where D is diameter at pressure P dP dP dD 1 dD = = (15) dz dD dz α dz From (13) 1 dD 128µ Q = 4 α dz π D D( L) L ∫ D dD = ∫ 4 D (0) 128µ α Q 0 D ( L ) − D ( 0) = 5 5 π dz 128µ α Q L π (18) Approximation when D(L)-D(0) is small Let D( L) = D(0) + ε D 5 ( L ) − D 5 ( 0) = ( D ( 0) + ε ) 5 − D 5 ( 0) ≈ D 5 (0) + 5 D 4 (0)ε + 10 D 3 (0)ε 2 + L − D 5 (0) = 5 D 4 (0)ε + 10 D 3 (0)ε 2 ∴ 5 D (0)ε + 10 D (0)ε = 4 3 2 640 µ α Q L π Divided by 5D (0) and let ε = D(L)-D(0) 4 2[D(L)-D(0)] 128 µ α Q L ( D(L)-D(0))1 + = 4 D(0) π D ( 0) Q D(L)-D(0) = α [P(L)-P(0)] 2α [P(L)-P(0)] 128 µ α Q L ∴α [P(L)-P(0)]1 + = 4 D(0) D π ( 0) 128 µ Q L 2α 2 ∆P ) = i.e. ∆P(1 + (21) 4 π D (0) D0 ∴ ∆P = - D 0 + D02 + 8 α D0 ∆Pp ⇒ ∆Pn = 4α - D n + Dn2 + 8 α n Dn ∆Ppn (22) Newtonian flow 4α n Non − Newtonian blood flow π (α ( P − P ) + D k1 + k 2 4Q dP 128 − = 4 * dz π α (P − P ) + D * [ ] * 2 Q (23) Normalized pressure drop v.s. log compliance (LCCA) 9. Integration of Theory & Experiment Interaction of anatomy, elasticity, vasoactivity, tissue/vessel interaction, analysis & experiment 10. Concluding Remarks Mathematical model of coronary circulation can be constructed based on – physical laws – measured data on anatomy & elasticity of blood vessels – muscle/vessel interaction & vasoactivity – Rheology of blood – Boundary conditions 10. Concluding Remarks (cont’d) Model of normal hearts and pathological state can be studied by changing model parameters Building model based on continuum mechanics and using measured geometric & elasticity data Ad hoc hypotheses are kept to minimum!