Using 3D Echo-based Modeling to Quantify in Vivo Ventricle Material Properties: A Multi-patient Study

Fan, Longling; Yao, Jing; Yang, Chun; Xu, Di; Tang, Dalin

doi:10.1016/j.proeng.2015.11.267

Cited by 2 publications

(4 citation statements)

References 3 publications

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“…1 , 2 , D 1 , and D 2 are the material parameters and were chosen to match experimental measurements [32]. The strain energy function for the anisotropic modified Mooney-Rivlin model is given by Tang et al [19][20][29][30][31]:…”

Section: Nonlinear Modified Mooney-rivlin Model Used As Materials Modelsmentioning

confidence: 99%

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Patient-specific in vivo right ventricle material parameter estimation for patients with tetralogy of Fallot using MRI-based models with different zero-load diastole and systole morphologies

Han

Nido

Geva

et al. 2019

International Journal of Cardiology

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Patient-specific in vivo ventricle material parameter determination is important for cardiovascular investigations. A new cardiac magnetic image (CMR)-based modeling approach with different zero-load diastole and systole geometries was adopted to estimate right ventricle material parameter values for healthy and patients with Tetralogy of Fallot (TOF) and seeking potential clinical applications. CMR data were obtained from 6 healthy volunteers and 16 TOF patients with consent obtained. CMR-based RV/LV models were constructed using two zero-load geometries (diastole and systole, 2G model). Material parameter values for begin-filling (BF), end-filling (EF), begin-ejection (BE), and end-ejection (EE) were recorded for analyses. Effective Young's moduli (YM) for fiber direction stress-strain curves were calculated for easy comparisons. The mean EE YM value of TOF patients was 78.6% higher than that of the healthy group (HG). The mean end-ejection YM value from worse-outcome TOF group (WG) post pulmonary valve replacement (PVR) surgery was 59.5% higher than that from the better-outcome TOF group (BG). Using begin-filling YM and end-ejection YM as predictors and the classic logistic regression model to different better-outcome group patients from worse-outcome group patients, the areas under Receiver Operating Characteristic (ROC) curves were found to be 0.797 and 0.883 for begin-filling YM and end-ejection YM, respectively. The sensitivity and specificity 0.761 and 0.755 using end-ejection YM as the predictor. This preliminary study suggests that ventricle material stiffness could be a potential parameter to be used to differentiate BG patients from WG patients with further effort and large-scale patient data validations.

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Section: Nonlinear Modified Mooney-rivlin Model Used As Materials Modelsmentioning

confidence: 99%

“…Echo-based patient-specific models were introduced to estimate in vivo left ventricle material properties with and without infarction [29][30][31]. In this paper, patient-specific CMRbased models were constructed to quantify RV material properties for healthy volunteers (n=6) and TOF patients (n=16).…”

Section: Introductionmentioning

confidence: 99%

Patient-specific in vivo right ventricle material parameter estimation for patients with tetralogy of Fallot using MRI-based models with different zero-load diastole and systole morphologies

Han

Nido

Geva

et al. 2019

International Journal of Cardiology

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“…The strain energy function for the isotropic modified Mooney-Rivlin model is given by Tang et al [4, 5, 13–15, 17–19]: where I 1 and I 2 are the first and second strain invariants given by, C = [ C ij ] = X T X is the right Cauchy-Green deformation tensor, X = [ X ij ] = [a x i / a a j ], ( x i ) is the current position, ( a i ) is the original position, c i and D i are material parameters chosen to match experimental or patient-specific CMR measurements. The strain energy function for the anisotropic modified Mooney-Rivlin model was obtained by adding an additional anisotropic term in Eq (6) (Tang et al [4, 5, 13–15, 17–19]): where I 4 = C ij ( n f ) i ( n f ) j , C ij is the Cauchy-Green deformation tensor, n f is the fiber direction, K 1 and K 2 are material constants. With the strain energy function determined, the stress-strain relationship is given by: …”

Section: Methodsmentioning

confidence: 99%

“…The ex vivo biaxial testing data was not directly used in this paper. Patient-specific ventricle parameter values in the material model for each patient were determined using CMR-measured RV volume data and an iterative procedure [4, 5, 13–15, 17–19]. The parameter determination procedure and parameter values for all participants are given in the appendix.…”

Section: Methodsmentioning

confidence: 99%

Ventricle stress/strain comparisons between Tetralogy of Fallot patients and healthy using models with different zero-load diastole and systole morphologies

et al. 2019

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Patient-specific in vivo ventricle mechanical wall stress and strain conditions are important for cardiovascular investigations and should be calculated from correct zero-load ventricle morphologies. Cardiac magnetic resonance (CMR) data were obtained from 6 healthy volunteers and 12 Tetralogy of Fallot (TOF) patients with consent obtained. 3D patient-specific CMR-based ventricle models with different zero-load diastole and systole geometries due to myocardium contraction and relaxation were constructed to qualify right ventricle (RV) diastole and systole stress and strain values at begin-filling, end-filling, begin-ejection, and end-ejection, respectively. Our new models (called 2G models) can provide end-diastole and end-systole stress/strain values which models with one zero-load geometries (called 1G models) could not provide. 2G mean end-ejection stress value from the 18 participants was 321.4% higher than that from 1G models (p = 0.0002). 2G mean strain values was 230% higher than that of 1G models (p = 0.0002). TOF group (TG) end-ejection mean stress value was 105.4% higher than that of healthy group (HG) (17.54±7.42kPa vs. 8.54±0.92kPa, p = 0.0245). Worse outcome group (WG, n = 6) post pulmonary valve replacement (PVR) begin-ejection mean stress was 57.4% higher than that of better outcome group (BG, 86.94±26.29 vs. 52.93±22.86 kPa; p = 0.041). Among 7 selected parameters, End-filling stress was the best predictor to differentiate BG patients from WG patients with prediction accuracy = 0.8208 and area under receiver operating characteristic curve (AUC) value at 0.8135 (EE stress). Large scale studies are needed to further validate our findings.

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Using 3D Echo-based Modeling to Quantify in Vivo Ventricle Material Properties: A Multi-patient Study

Cited by 2 publications

References 3 publications

Patient-specific in vivo right ventricle material parameter estimation for patients with tetralogy of Fallot using MRI-based models with different zero-load diastole and systole morphologies

Patient-specific in vivo right ventricle material parameter estimation for patients with tetralogy of Fallot using MRI-based models with different zero-load diastole and systole morphologies

Ventricle stress/strain comparisons between Tetralogy of Fallot patients and healthy using models with different zero-load diastole and systole morphologies

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