Literature DB >> 23733738

Accurate determination of patient-specific boundary conditions in computational vascular hemodynamics using 3D cine phase-contrast MRI.

Y Onishi1, K Aoki, K Amaya, T Shimizu, H Isoda, Y Takehara, H Sakahara, T Kosugi.   

Abstract

In the patient-specific vascular CFD, determination of the inlet and outlet boundary conditions (BCs) is an important issue for a valid diagnosis. The 3D cine phase-contrast MRI (4D Flow) velocimetry is promising for this issue; yet, its measured velocities contain relatively large error and are not admissible as the BCs without any correction. This paper proposes a novel correction method for determining the BCs accurately using the 4D Flow velocimetry. First, we reveal that the error of the velocity measured by the 4D Flow at each measurement voxel is large but is distributed symmetrically. Secondly, our method pays attention to the incompressibility of the blood and the fact that the volume flow rate (VFR) in each vessel is constant on any cross sections. We reveal that the average of the cross-sectional VFRs integrated from many measurement voxel in each vessel is accurate despite the large error. Finally, we propose the novel correction method, which applies a smoothing to the measured velocities on each inlet or outlet boundary with a low-pass filter and then corrects them with the VFR. The results of the several phantom studies are presented to validate the accuracy of our method. A demonstrative analysis for an actual aneurysm is also presented to show the feasibility and effectiveness of our method.
Copyright © 2013 John Wiley & Sons, Ltd.

Entities:  

Keywords:  3D cine phase-contrast MR imaging (4D Flow) velocimetry; boundary condition; vascular CFD analysis

Mesh:

Year:  2013        PMID: 23733738     DOI: 10.1002/cnm.2562

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  5 in total

1.  Magnetic resonance imaging-based computational modelling of blood flow and nanomedicine deposition in patients with peripheral arterial disease.

Authors:  Shaolie S Hossain; Yongjie Zhang; Xiaoyi Fu; Gerd Brunner; Jaykrishna Singh; Thomas J R Hughes; Dipan Shah; Paolo Decuzzi
Journal:  J R Soc Interface       Date:  2015-05-06       Impact factor: 4.118

2.  Flow-splitting-based computation of outlet boundary conditions for improved cerebrovascular simulation in multiple intracranial aneurysms.

Authors:  Sylvia Saalfeld; Samuel Voß; Oliver Beuing; Bernhard Preim; Philipp Berg
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-30       Impact factor: 2.924

3.  Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.

Authors:  Yanhang Zhang; Victor H Barocas; Scott A Berceli; Colleen E Clancy; David M Eckmann; Marc Garbey; Ghassan S Kassab; Donna R Lochner; Andrew D McCulloch; Roger Tran-Son-Tay; Natalia A Trayanova
Journal:  Ann Biomed Eng       Date:  2016-05-02       Impact factor: 3.934

4.  Identification of intra-individual variation in intracranial arterial flow by MRI and the effect on computed hemodynamic descriptors.

Authors:  Xinke Liu; Evan Kao; Henrik Haraldsson; Megan Ballweber; Alastair Martin; Youxiang Li; Yuting Wang; David Saloner
Journal:  MAGMA       Date:  2021-04-11       Impact factor: 2.533

5.  Accuracy of the Flow Velocity and Three-directional Velocity Profile Measured with Three-dimensional Cine Phase-contrast MR Imaging: Verification on Scanners from Different Manufacturers.

Authors:  Tomoya Watanabe; Haruo Isoda; Atushi Fukuyama; Mamoru Takahashi; Tomoyasu Amano; Yasuo Takehara; Naoki Oishi; Masanori Kawate; Masaki Terada; Takafumi Kosugi; Yoshiaki Komori; Yukiko Fukuma; Marcus Alley
Journal:  Magn Reson Med Sci       Date:  2019-03-04       Impact factor: 2.471

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.