Guan, D., Tian, L., Li, W. and Gao, H. (2024) Using LDDMM and a kinematic cardiac growth model to quantify growth and remodelling in rat hearts under PAH. Computers in Biology and Medicine, 171, 108218. (doi: 10.1016/j.compbiomed.2024.108218)
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Abstract
Pulmonary arterial hypertension (PAH) is a rapidly progressive and fatal disease, with right ventricular failure being the primary cause of death in patients with PAH. This study aims to determine the mechanical stimuli that may initiate heart growth and remodelling (G&R). To achieve this, two bi-ventricular models were constructed: one for a control rat heart and another for a rat heart with PAH. The growth of the diseased heart was estimated by warping it to the control heart using an improved large deformation diffeomorphic metric mapping (LDDMM) framework. Correlation analysis was then performed between mechanical cues (stress and strain) and growth tensors, which revealed that principal strains may serve as a triggering stimulus for myocardial growth and remodelling under PAH. The growth tensors, estimated from in vivo images, could explain 84.3% of the observed geometrical changes in the diseased heart with PAH by using a kinematic cardiac growth model. Our approach has the potential to quantify G&R using sparse in vivo images and to provide insights into the underlying mechanism of triggering right heart failure from a biomechanical perspective.
| Item Type: | Articles |
|---|---|
| Additional Information: | We are grateful for the funding provided by the British Heart Foundation (PG/22/10930). D.Guan also acknowledges the funding from the school of mathematics and statistics, University of Glasgow through the EPSRC additional funding for mathematical science. W.Li acknowledges the funding from the National Key R and D Program of China(2019 YFE0117800), National Natural Science Foundation of China (22176115),Shandong Provincial Key Research and Development Program (Major Scientific and Technological Innovation Project ) (2021CXGC010506), Shandong Provincial Natural Science Foundation (ZR2021MH208). |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Guan, Mr Debao and Gao, Dr Hao |
| Authors: | Guan, D., Tian, L., Li, W., and Gao, H. |
| College/School: | College of Science and Engineering > School of Mathematics and Statistics |
| Journal Name: | Computers in Biology and Medicine |
| Publisher: | Elsevier |
| ISSN: | 0010-4825 |
| ISSN (Online): | 1879-0534 |
| Published Online: | 28 February 2024 |
| Copyright Holders: | Copyright © 2024 The Authors |
| First Published: | First published in Computers in Biology and Medicine 171: 108218 |
| Publisher Policy: | Reproduced under a Creative Commons License |
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