A novel methodology for personalized simulations of ventricular hemodynamics from noninvasive imaging data

A. de Vecchi; A. Gomez; K. Pushparajah; T. Schaeffter; J.M. Simpson; R. Razavi; G.P. Penney; N.P. Smith; D.A. Nordsletten

doi:10.1016/j.compmedimag.2016.03.004

A novel methodology for personalized simulations of ventricular hemodynamics from noninvasive imaging data

A. de Vecchi, A. Gomez, K. Pushparajah, T. Schaeffter, J.M. Simpson, R. Razavi, G.P. Penney, N.P. Smith, D.A. Nordsletten

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Abstract

Current state-of-the-art imaging techniques can provide quantitative information to characterize ventricular function within the limits of the spatiotemporal resolution achievable in a realistic acquisition time. These imaging data can be used to personalize computer models, which in turn can help treatment planning by quantifying biomarkers that cannot be directly imaged, such as flow energy, shear stress and pressure gradients. To date, computer models have typically relied on invasive pressure measurements to be made patient-specific. When these data are not available, the scope and validity of the models are limited. To address this problem, we propose a new methodology for modeling patient-specific hemodynamics based exclusively on noninvasive velocity and anatomical data from 3D+t echocardiography or Magnetic Resonance Imaging (MRI). Numerical simulations of the cardiac cycle are driven by the image-derived velocities prescribed at the model boundaries using a penalty method that recovers a physical solution by minimizing the energy imparted to the system. This numerical approach circumvents the mathematical challenges due to the poor conditioning that arises from the imposition of boundary conditions on velocity only. We demonstrate that through this technique we are able to reconstruct given flow fields using Dirichlet only conditions. We also perform a sensitivity analysis to investigate the accuracy of this approach for different images with varying spatiotemporal resolution. Finally, we examine the influence of noise on the computed result, showing robustness to unbiased noise with an average error in the simulated velocity approximately 7% for a typical voxel size of 2 mm3 and temporal resolution of 30 ms. The methodology is eventually applied to a patient case to highlight the potential for a direct clinical translation.

Original language	English
Pages (from-to)	20-31
Journal	Computerized Medical Imaging and Graphics
Early online date	2 Apr 2016
DOIs	https://doi.org/10.1016/j.compmedimag.2016.03.004
Publication status	Published - Jul 2016

Keywords

Cardiac hemodynamics
Personalized computational modeling
3D blood flow reconstruction
B-Mode and Color Doppler echocardiography
PC-MRI

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10.1016/j.compmedimag.2016.03.004

A novel methodology for personalized_VECCHI_Accepted 29Mar2016_GOLD VoRFinal published version, 3.53 MB

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title = "A novel methodology for personalized simulations of ventricular hemodynamics from noninvasive imaging data",

abstract = "Current state-of-the-art imaging techniques can provide quantitative information to characterize ventricular function within the limits of the spatiotemporal resolution achievable in a realistic acquisition time. These imaging data can be used to personalize computer models, which in turn can help treatment planning by quantifying biomarkers that cannot be directly imaged, such as flow energy, shear stress and pressure gradients. To date, computer models have typically relied on invasive pressure measurements to be made patient-specific. When these data are not available, the scope and validity of the models are limited. To address this problem, we propose a new methodology for modeling patient-specific hemodynamics based exclusively on noninvasive velocity and anatomical data from 3D+t echocardiography or Magnetic Resonance Imaging (MRI). Numerical simulations of the cardiac cycle are driven by the image-derived velocities prescribed at the model boundaries using a penalty method that recovers a physical solution by minimizing the energy imparted to the system. This numerical approach circumvents the mathematical challenges due to the poor conditioning that arises from the imposition of boundary conditions on velocity only. We demonstrate that through this technique we are able to reconstruct given flow fields using Dirichlet only conditions. We also perform a sensitivity analysis to investigate the accuracy of this approach for different images with varying spatiotemporal resolution. Finally, we examine the influence of noise on the computed result, showing robustness to unbiased noise with an average error in the simulated velocity approximately 7% for a typical voxel size of 2 mm3 and temporal resolution of 30 ms. The methodology is eventually applied to a patient case to highlight the potential for a direct clinical translation.",

keywords = "Cardiac hemodynamics, Personalized computational modeling, 3D blood flow reconstruction, B-Mode and Color Doppler echocardiography, PC-MRI",

author = "{de Vecchi}, A. and A. Gomez and K. Pushparajah and T. Schaeffter and J.M. Simpson and R. Razavi and G.P. Penney and N.P. Smith and D.A. Nordsletten",

year = "2016",

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AU - de Vecchi, A.

AU - Gomez, A.

AU - Pushparajah, K.

AU - Schaeffter, T.

AU - Simpson, J.M.

AU - Razavi, R.

AU - Penney, G.P.

AU - Smith, N.P.

AU - Nordsletten, D.A.

PY - 2016/7

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N2 - Current state-of-the-art imaging techniques can provide quantitative information to characterize ventricular function within the limits of the spatiotemporal resolution achievable in a realistic acquisition time. These imaging data can be used to personalize computer models, which in turn can help treatment planning by quantifying biomarkers that cannot be directly imaged, such as flow energy, shear stress and pressure gradients. To date, computer models have typically relied on invasive pressure measurements to be made patient-specific. When these data are not available, the scope and validity of the models are limited. To address this problem, we propose a new methodology for modeling patient-specific hemodynamics based exclusively on noninvasive velocity and anatomical data from 3D+t echocardiography or Magnetic Resonance Imaging (MRI). Numerical simulations of the cardiac cycle are driven by the image-derived velocities prescribed at the model boundaries using a penalty method that recovers a physical solution by minimizing the energy imparted to the system. This numerical approach circumvents the mathematical challenges due to the poor conditioning that arises from the imposition of boundary conditions on velocity only. We demonstrate that through this technique we are able to reconstruct given flow fields using Dirichlet only conditions. We also perform a sensitivity analysis to investigate the accuracy of this approach for different images with varying spatiotemporal resolution. Finally, we examine the influence of noise on the computed result, showing robustness to unbiased noise with an average error in the simulated velocity approximately 7% for a typical voxel size of 2 mm3 and temporal resolution of 30 ms. The methodology is eventually applied to a patient case to highlight the potential for a direct clinical translation.

AB - Current state-of-the-art imaging techniques can provide quantitative information to characterize ventricular function within the limits of the spatiotemporal resolution achievable in a realistic acquisition time. These imaging data can be used to personalize computer models, which in turn can help treatment planning by quantifying biomarkers that cannot be directly imaged, such as flow energy, shear stress and pressure gradients. To date, computer models have typically relied on invasive pressure measurements to be made patient-specific. When these data are not available, the scope and validity of the models are limited. To address this problem, we propose a new methodology for modeling patient-specific hemodynamics based exclusively on noninvasive velocity and anatomical data from 3D+t echocardiography or Magnetic Resonance Imaging (MRI). Numerical simulations of the cardiac cycle are driven by the image-derived velocities prescribed at the model boundaries using a penalty method that recovers a physical solution by minimizing the energy imparted to the system. This numerical approach circumvents the mathematical challenges due to the poor conditioning that arises from the imposition of boundary conditions on velocity only. We demonstrate that through this technique we are able to reconstruct given flow fields using Dirichlet only conditions. We also perform a sensitivity analysis to investigate the accuracy of this approach for different images with varying spatiotemporal resolution. Finally, we examine the influence of noise on the computed result, showing robustness to unbiased noise with an average error in the simulated velocity approximately 7% for a typical voxel size of 2 mm3 and temporal resolution of 30 ms. The methodology is eventually applied to a patient case to highlight the potential for a direct clinical translation.

KW - Cardiac hemodynamics

KW - Personalized computational modeling

KW - 3D blood flow reconstruction

KW - B-Mode and Color Doppler echocardiography

KW - PC-MRI

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DO - 10.1016/j.compmedimag.2016.03.004

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JO - Computerized Medical Imaging and Graphics

JF - Computerized Medical Imaging and Graphics

ER -

A novel methodology for personalized simulations of ventricular hemodynamics from noninvasive imaging data

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Keywords

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