Open Access

ARTICLE

Two-Layer Passive/Active Anisotropic FSI Models with Fiber Orientation: MRI-Based Patient-Specific Modeling of Right Ventricular Response to Pulmonary Valve Insertion Surgery

Dalin Tang^*, Chun Yang^†, Tal Geva^‡,§, Pedro J. del Nido^¶

* Corresponding author: Dalin Tang, Mathematical Sciences Department, Worcester Polytechnic Institute, Worcester, MA 01609, Phone: 508-831-5332, fax: 508-831-5824, e-mail: dtang@wpi.edu
† Mathematics Department, Beijing Normal University, Beijing, China
‡ Department of Cardiology, Children’s Hospital, Boston
§ Department of Pediatric, Harvard Medical School, Boston, MA 02115 USA
¶ Dept. of Cardiac Surgery, Children’s Hospital, Boston. Harvard Medical School, Boston, MA 02115 USA

Molecular & Cellular Biomechanics 2007, 4(3), 159-176. https://doi.org/10.3970/mcb.2007.004.159

Abstract

A single-layer isotropic patient-specific right/left ventricle and patch (RV/LV/Patch) combination model with fluid-structure interactions (FSI) was introduced in our previous papers to evaluate and optimize human pulmonary valve replacement/insertion (PVR) surgical procedure and patch design. In this paper, an active anisotropic model with two-layer structure for ventricle wall and tissue fiber orientation was introduced to improve previous isotropic model for more accurate assessment of RV function and potential application in PVR surgery and patch design. A material-stiffening approach was used to model active heart contraction. The computational models were used to conduct ``virtual (computational)'' surgeries and test the hypothesis that a PVR surgical design with a smaller patch and more aggressive scar tissue trimming would lead to improved RV cardiac function recovery. Results from our models validated by pre-operation data indicated that the small patch design had 11{\%} improvement in RV function as measured by RV ejection fraction, compared to the conventional patch. Maximum Stress-P$_{1}$ value from the active anisotropic model was 121.2{\%} higher than that from the passive isotropic model. Computational RV volume predictions agreed well with CMR-measured volume data (error<>

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