Modeling 3D Cardiac Contraction and Relaxation With Point Cloud Deformation Networks

Global single-valued biomarkers, such as ejection fraction, are widely used in clinical practice to assess cardiac function. However, they only approximate the heart's true 3D deformation process, thus limiting diagnostic accuracy and the understanding of cardiac mechanics. Metrics based on 3D...

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Bibliographic Details
Published in:	IEEE journal of biomedical and health informatics Vol. 28; no. 8; pp. 4810 - 4819
Main Authors:	Beetz, Marcel, Banerjee, Abhirup, Grau, Vicente
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.08.2024
Subjects:	Anatomy Cardiac disease Cardiac mechanics cardiac motion cine MRI Deep Learning Deformable models Deformation geometric deep learning Heart - diagnostic imaging Heart - physiology Humans Imaging, Three-Dimensional - methods Magnetic resonance imaging Male Models, Cardiovascular Myocardial Contraction - physiology myocardial infarction Point cloud compression point clouds Shape subpopulation-specific 3D deformation survival analysis Three-dimensional displays
ISSN:	2168-2194, 2168-2208, 2168-2208
Online Access:	Get full text
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