A smoothed boundary bidomain model for cardiac simulations in anatomically detailed geometries

被引:0
|
作者
Biasi, Niccolo [1 ]
Seghetti, Paolo [2 ,3 ]
Mercati, Matteo [1 ]
Tognetti, Alessandro [1 ,4 ]
机构
[1] Univ Pisa, Informat Engn Dept, Pisa, Italy
[2] Scuola Super Sant Anna, Hlth Sci Interdisciplinary Ctr, Pisa, Italy
[3] CNR, Inst Clin Physiol, Pisa, Italy
[4] Univ Pisa, Res Ctr E Piaggio, Pisa, Italy
来源
PLOS ONE | 2023年 / 18卷 / 06期
关键词
MULTIGRID PRECONDITIONER; DEFIBRILLATION; TISSUE; HEART; FIELD; POLARIZATION; MECHANISMS; MONODOMAIN; EQUATIONS; INSIGHTS;
D O I
10.1371/journal.pone.0286577
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This manuscript presents a novel finite difference method to solve cardiac bidomain equations in anatomical models of the heart. The proposed method employs a smoothed boundary approach that represents the boundaries between the heart and the surrounding medium as a spatially diffuse interface of finite thickness. The bidomain boundary conditions are implicitly implemented in the smoothed boundary bidomain equations presented in the manuscript without the need of a structured mesh that explicitly tracks the heart-torso boundaries. We reported some significant examples assessing the method's accuracy using nontrivial test geometries and demonstrating the applicability of the method to complex anatomically detailed human cardiac geometries. In particular, we showed that our approach could be employed to simulate cardiac defibrillation in a human left ventricle comprising fiber architecture. The main advantage of the proposed method is the possibility of implementing bidomain boundary conditions directly on voxel structures, which makes it attractive for three dimensional, patient specific simulations based on medical images. Moreover, given the ease of implementation, we believe that the proposed method could provide an interesting and feasible alternative to finite element methods, and could find application in future cardiac research guiding electrotherapy with computational models.
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页数:20
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