Journal
PHYSICS IN MEDICINE AND BIOLOGY
Volume 65, Issue 20, Pages -Publisher
IOP Publishing Ltd
DOI: 10.1088/1361-6560/ab843e
Keywords
deep learning; medical image registration; review
Funding
- National Cancer Institute of the National Institutes of Health [R01CA215718]
- Dunwoody Golf Club Prostate Cancer Research Award
- Winship Cancer Institute of Emory University
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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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