A Computationally Efficient Approach for Estimation of Tissue Material Parameters from Clinical Imaging Data Using a Level Set Method-Reference-Cited by-同舟云学术

A Computationally Efficient Approach for Estimation of Tissue Material Parameters from Clinical Imaging Data Using a Level Set Method

Published:2024-10 Issue:10 Volume:150 Page:
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Pourasghar Amin¹,Mehdizadeh Elaheh²,Wong Timothy C.³,Hoskoppal Arvind K.⁴,Brigham John C.⁵

Affiliation:

1. Researcher, Dept. of Civil and Environmental Engineering, Univ. of Pittsburgh, Pittsburgh, PA 15261.

2. Graduate Research Assistant and Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Pittsburgh, Pittsburgh, PA 15261 (corresponding author).

3. Director, University of Pittsburgh Medical Center (UPMC) Heart and Vascular Institute Cardiovascular Magnetic Resonance Center, School of Medicine, Univ. of Pittsburgh, Pittsburgh, PA 15213.

4. Director, University of Pittsburgh Medical Center (UPMC) Adult Congenital Heart Disease Program, School of Medicine, Univ. of Pittsburgh, Pittsburgh, PA 15261.

5. Associate Professor, Dept. of Civil and Environmental Engineering and Dept. of Bioengineering, Univ. of Pittsburgh, Pittsburgh, PA 15261.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JENMDT.EMENG-7826

Reference28 articles.

1. Unified form language

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4. Surrogate-Model Accelerated Random Search algorithm for global optimization with applications to inverse material identification

5. A nonlinear inversion method for 3D electromagnetic imaging using adjoint fields

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