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MulViMotion: shape-aware 3D myocardial motion tracking from multi-view cardiac MRI

Title: MulViMotion: shape-aware 3D myocardial motion tracking from multi-view cardiac MRI
Authors: Meng, Q
Bai, W
Liu, T
Simoes Monteiro de Marvao, A
O'Regan, D
Rueckert, D
Item Type: Journal Article
Abstract: Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR) imaging enables the assessment of regional myocardial function and is important for understanding and analyzing cardiovascular disease. However, 3D cardiac motion estimation is challenging because the acquired cine CMR images are usually 2D slices which limit the accurate estimation of through-plane motion. To address this problem, we propose a novel multi-view motion estimation network (MulViMotion), which integrates 2D cine CMR images acquired in short-axis and long-axis planes to learn a consistent 3D motion field of the heart. In the proposed method, a hybrid 2D/3D network is built to generate dense 3D motion fields by learning fused representations from multi-view images. To ensure that the motion estimation is consistent in 3D, a shape regularization module is introduced during training, where shape information from multi-view images is exploited to provide weak supervision to 3D motion estimation. We extensively evaluate the proposed method on 2D cine CMR images from 580 subjects of the UK Biobank study for 3D motion tracking of the left ventricular myocardium. Experimental results show that the proposed method quantitatively and qualitatively outperforms competing methods.
Issue Date: 1-Aug-2022
Date of Acceptance: 11-Feb-2022
URI: http://hdl.handle.net/10044/1/95108
DOI: 10.1109/TMI.2022.3154599
ISSN: 0278-0062
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 1961
End Page: 1974
Journal / Book Title: IEEE Transactions on Medical Imaging
Volume: 41
Issue: 8
Copyright Statement: © 2022 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Sponsor/Funder: Imperial College Healthcare NHS Trust- BRC Funding
Imperial College Healthcare NHS Trust- BRC Funding
British Heart Foundation
British Heart Foundation
Engineering and Physical Sciences Research Council
Engineering & Physical Science Research Council (E
Funder's Grant Number: RDC04
RDB02
RE/18/4/34215
RG/19/6/34387
EP/W01842X/1
EP/W01842X/1
Keywords: Humans
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Magnetic Resonance Imaging, Cine
Motion
Myocardium
Myocardium
Humans
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Magnetic Resonance Imaging, Cine
Motion
eess.IV
eess.IV
cs.CV
cs.LG
Nuclear Medicine & Medical Imaging
08 Information and Computing Sciences
09 Engineering
Publication Status: Published
Online Publication Date: 2022-02-24
Appears in Collections:Computing
Institute of Clinical Sciences
Faculty of Medicine
Department of Brain Sciences
Faculty of Engineering



This item is licensed under a Creative Commons License Creative Commons