Automated Bi‐Ventricular Segmentation and Regional Cardiac Wall Motion Analysis for Rat Models of Pulmonary Hypertension

Automated Bi‐Ventricular Segmentation and Regional Cardiac Wall Motion Analysis for Rat Models of Pulmonary Hypertension

ABSTRACT Artificial intelligence‐based cardiac motion mapping offers predictive insights into pulmonary hypertension (PH) disease progression and its impact on the heart. We proposed an automated deep learning pipeline for bi‐ventricular segmentation and 3D wall motion analysis in PH rodent models f...

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Bibliographic Details
Main Authors: Marili Niglas, Nicoleta Baxan, Ali Ashek, Lin Zhao, Jinming Duan, Declan O'Regan, Timothy J. W. Dawes, Chen Nien‐Chen, Chongyang Xie, Wenjia Bai, Lan Zhao
Format: Article
Language:English
Published: Wiley 2025-04-01
Series:Pulmonary Circulation
Subjects:
3D motion analysis
cardiovascular disease
deep learning
magnetic resonance imaging
pulmonary hypertension
Online Access:https://doi.org/10.1002/pul2.70092
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https://doi.org/10.1002/pul2.70092

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