Deep Learning-Based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment

Deep Learning-Based Prediction of Stress and Strain Maps in Arterial Walls for Improved Cardiovascular Risk Assessment

Conducting computational stress-strain analysis using finite element methods (FEM) is a common approach when dealing with the complex geometries of atherosclerosis, which is a leading cause of global mortality and complex cardiovascular disease. The considerable expense linked to FEM analysis encour...

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Bibliographic Details
Main Authors: Yasin Shokrollahi, Pengfei Dong, Changchun Zhou, Xianqi Li, Linxia Gu
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Applied Sciences
Subjects:
finite element methods (FEM)
cardiovascular disease
convolutional neural network (CNN)
U-Net
conditional generative adversarial neural network (cGAN)
stress-strain field maps
Online Access:https://www.mdpi.com/2076-3417/14/1/379

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