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Computational Retinal Hemodynamics

Computational Retinal Hemodynamics
计算视网膜血流动力学
批准号:
2012424
负责人:
Shravan Veerapaneni
金额:
$28.26万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-09-01 至 2023-08-31

项目摘要

项目成果

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中文摘要
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英文摘要
Blood flow in the retina, also termed retinal hemodynamics, has long been known to be affected by glaucoma, a neurodegenerative condition that is the leading cause of irreversible but preventable blindness. Alterations in retinal hemodynamics are also indicators of several other disease pathologies, including systemic diseases such as hypertension and diabetes. Consequently, numerous imaging modalities have been developed to non-invasively measure hemodynamic parameters in the retina. Examples include color Doppler imaging, laser Doppler flowmetry, optical coherence tomography, and fundus photography. While hemodynamic analysis via imaging has been available for more than a century, the advent of high-resolution retinal images combined with novel automated annotation techniques created the need for accurate numerical simulations of blood flow through retinal microvasculature. The primary goal of this project is to develop stable, high-accuracy, optimal algorithms for direct numerical simulation of particulate blood flow through patient-specific arterial graphs. The project provides training for graduate students through involvement in the research.This project addresses two computational bottlenecks that arise in large-scale simulations of particulate flows using boundary integral methods. First, a new high-order nearly-singular integration scheme in three dimensions using concepts from exterior calculus and harmonic polynomial approximations will be developed. The appealing feature of these schemes will be that they work directly on user-supplied boundary meshes (e.g., triangulated arterial graphs). If smooth line integrals on the given meshes can be evaluated to high accuracy, then singular and nearly singular integrals can both be computed to high accuracy. This contrasts with existing methods, which often require pre-processing. Second, to improve the robustness and accuracy of simulations without imposing excessive constraints on mesh sizes, complementarity constraint based contact resolution techniques will be developed. While the primary focus of this project is on simulating retinal hemodynamics, the computational methods under development will be applicable to more general microscale particulate flow, including flows of droplets, bacteria, and colloids.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(8)
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科研奖励(0)
会议论文
DOI: 10.1007/s10444-023-10046-y
发表时间: 2023-06-23
期刊: ADVANCES IN COMPUTATIONAL MATHEMATICS
影响因子: 1.7
作者: [Kohl,Ryan, Corona,Eduardo, Veerapaneni,Shravan]
通讯作者: Veerapaneni,Shravan
Quantifying mixing in arbitrary fluid domains: a Padé approximation approach
量化任意流体域中的混合:Padé 近似方法
DOI: 10.1007/s11075-022-01423-7
发表时间: 2023
期刊: Numerical Algorithms
影响因子: 2.1
作者: [Anderson, Thomas G., Bonnet, Marc, Veerapaneni, Shravan]
通讯作者: Veerapaneni, Shravan
A fast direct solver for integral equations on locally refined boundary discretizations and its application to multiphase flow simulations
局部细化边界离散积分方程的快速直接求解器及其在多相流模拟中的应用
DOI: 10.1007/s10444-022-09974-y
发表时间: 2022
期刊: Advances in Computational Mathematics
影响因子: 1.7
作者: [Zhang, Yabin, Gillman, Adrianna, Veerapaneni, Shravan]
通讯作者: Veerapaneni, Shravan
Shape Optimization of Peristaltic Pumps Transporting Rigid Particles in Stokes Flow
斯托克斯流中输送刚性颗粒的蠕动泵的形状优化
DOI: 10.1137/21m144863x
发表时间: 2023
期刊: SIAM Journal on Scientific Computing
影响因子: 3.1
作者: [Bonnet, Marc, Liu, Ruowen, Veerapaneni, Shravan, Zhu, Hai]
通讯作者: Zhu, Hai
7
    Collaborative Research: EAGER-QSA: Variational Monte-Carlo-Inspired Quantum Algorithms for Many-Body Systems and Combinatorial Optimization
    Collaborative Research: Modeling and Computation of Three-Dimensional Multicomponent Vesicles in Complex Flow Domains
    CAREER: Fast Algorithms for Particulate Flows
    I-Corps: High-fidelity Simulation Software for Microfluidics
    海外基金