Recent advances in fibrosis and scar segmentation from cardiac MRI: A state-of-the-art review and future perspectives
File(s)
Published version
Author(s)
Wu, Yinzhe
Tang, Zeyu
Li, Binghuan
Firmin, David
Yang, Guang
Type
Journal Article
Abstract
Segmentation of cardiac fibrosis and scars is essential for clinical diagnosis and can provide invaluable guidance for the treatment of cardiac diseases. Late Gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) has been successful in guiding the clinical diagnosis and treatment reliably. For LGE CMR, many methods have demonstrated success in accurately segmenting scarring regions. Co-registration with other non-contrast-agent (non-CA) modalities [e.g., balanced steady-state free precession (bSSFP) cine magnetic resonance imaging (MRI)] can further enhance the efficacy of automated segmentation of cardiac anatomies. Many conventional methods have been proposed to provide automated or semi-automated segmentation of scars. With the development of deep learning in recent years, we can also see more advanced methods that are more efficient in providing more accurate segmentations. This paper conducts a state-of-the-art review of conventional and current state-of-the-art approaches utilizing different modalities for accurate cardiac fibrosis and scar segmentation.
Date Issued
2021-08-03
Date Acceptance
2021-06-28
Citation
Frontiers in Physiology, 2021, 12, pp.1-23
ISSN
1664-042X
Publisher
Frontiers Media
Start Page
1
End Page
23
Journal / Book Title
Frontiers in Physiology
Volume
12
Copyright Statement
© 2021 Wu, Tang, Li, Firmin and Yang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
License URL
Sponsor
British Heart Foundation
Identifier
https://www.frontiersin.org/articles/10.3389/fphys.2021.709230/full
Grant Number
PG/16/78/32402
Subjects
eess.IV
eess.IV
cs.CV
physics.med-ph
0606 Physiology
1116 Medical Physiology
1701 Psychology
Publication Status
Published
Article Number
709230
Date Publish Online
2021-08-03