Deep learning in medical image registration: a review

This paper presents a review of deep learning (DL)-based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods in the medical field. These methods were classified into seven categories according to their methods, functions and pop...

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Bibliographic Details
Published in:Physics in medicine & biology Vol. 65; no. 20; p. 20TR01
Main Authors: Fu, Yabo, Lei, Yang, Wang, Tonghe, Curran, Walter J, Liu, Tian, Yang, Xiaofeng
Format: Journal Article
Language:English
Published: England 22.10.2020
Subjects:
Brain - diagnostic imaging
Deep Learning
Diagnostic Imaging
Humans
Image Processing, Computer-Assisted - methods
ISSN:1361-6560, 1361-6560
Online Access:Get more information
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Summary:This paper presents a review of deep learning (DL)-based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods in the medical field. These methods were classified into seven categories according to their methods, functions and popularity. A detailed review of each category was presented, highlighting important contributions and identifying specific challenges. A short assessment was presented following the detailed review of each category to summarize its achievements and future potential. We provided a comprehensive comparison among DL-based methods for lung and brain registration using benchmark datasets. Lastly, we analyzed the statistics of all the cited works from various aspects, revealing the popularity and future trend of DL-based medical image registration.
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ISSN:1361-6560
1361-6560
DOI:10.1088/1361-6560/ab843e