Literature DB >> 26721836

Development of a Numerical Method for Patient-Specific Cerebral Circulation Using 1D-0D Simulation of the Entire Cardiovascular System with SPECT Data.

Hao Zhang1, Naoya Fujiwara2, Masaharu Kobayashi3, Shigeki Yamada4, Fuyou Liang5, Shu Takagi6, Marie Oshima3.   

Abstract

The detailed flow information in the circle of Willis (CoW) can facilitate a better understanding of disease progression, and provide useful references for disease treatment. We have been developing a one-dimensional-zero-dimensional (1D-0D) simulation method for the entire cardiovascular system to obtain hemodynamics information in the CoW. This paper presents a new method for applying 1D-0D simulation to an individual patient using patient-specific data. The key issue is how to adjust the deviation of physiological parameters, such as peripheral resistance, from literature data when patient-specific geometry is used. In order to overcome this problem, we utilized flow information from single photon emission computed tomography (SPECT) data. A numerical method was developed to optimize physiological parameters by adjusting peripheral cerebral resistance to minimize the difference between the resulting flow rate and the SPECT data in the efferent arteries of the CoW. The method was applied to three cases using different sets of patient-specific data in order to investigate the hemodynamics of the CoW. The resulting flow rates in the afferent arteries were compared to those of the phase-contrast magnetic resonance angiography (PC-MRA) data. Utilization of the SPECT data combined with the PC-MRA data showed a good agreement in flow rates in the afferent arteries of the CoW with those of PC-MRA data for all three cases. The results also demonstrated that application of SPECT data alone could provide the information on the ratios of flow distributions among arteries in the CoW.

Entities:  

Keywords:  1D–0D simulation; Circle of Willis; Patient-specific; Peripheral cerebral resistance; SPECT

Mesh:

Year:  2015        PMID: 26721836     DOI: 10.1007/s10439-015-1544-8

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  5 in total

1.  Comparison of reduced models for blood flow using Runge-Kutta discontinuous Galerkin methods.

Authors:  Charles Puelz; Sunčica Čanić; Béatrice Rivière; Craig G Rusin
Journal:  Appl Numer Math       Date:  2017-01-11       Impact factor: 2.468

2.  Automated generation of 0D and 1D reduced-order models of patient-specific blood flow.

Authors:  Martin R Pfaller; Jonathan Pham; Aekaansh Verma; Luca Pegolotti; Nathan M Wilson; David W Parker; Weiguang Yang; Alison L Marsden
Journal:  Int J Numer Method Biomed Eng       Date:  2022-08-14       Impact factor: 2.648

3.  Dynamic Effects of Aortic Arch Stiffening on Pulsatile Energy Transmission to Cerebral Vasculature as A Determinant of Brain-Heart Coupling.

Authors:  Arian Aghilinejad; Faisal Amlani; Kevin S King; Niema M Pahlevan
Journal:  Sci Rep       Date:  2020-05-29       Impact factor: 4.379

4.  Patient-Specific Cerebral Blood Flow Simulation Based on Commonly Available Clinical Datasets.

Authors:  Yuanyuan Shen; Yanji Wei; Reinoud P H Bokkers; Maarten Uyttenboogaart; J Marc C Van Dijk
Journal:  Front Bioeng Biotechnol       Date:  2022-03-04

5.  Uncertainty quantification in cerebral circulation simulations focusing on the collateral flow: Surrogate model approach with machine learning.

Authors:  Changyoung Yuhn; Marie Oshima; Yan Chen; Motoharu Hayakawa; Shigeki Yamada
Journal:  PLoS Comput Biol       Date:  2022-07-22       Impact factor: 4.779

  5 in total

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