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A review on 3D deformable image registration and its application in dose warping

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摘要 Deformable image registration(DIR)has been well explored in recent decades,and it is widely utilized in clinical tasks,especially dose warping.Nowadays,as deep learning(DL)develops rapidly,many DL-based methods were also applied in DIR.This paper reviews DL-based DIR methods in recent years and the application of DIR in dose warping.We collected and categorized the latest DL-based DIR studies.A thorough review of each category was presented,in which studies were discussed based on their supervision,advantage,and challenges.Then,we reviewed DIR-based dose warping and discussed its rationale,feasibility,successes,and difficulties.Lastly,we summarized the review on both parts and discussed their future development trend.
出处 《Radiation Medicine and Protection》 2020年第4期171-178,共8页 放射医学与防护(英文)
基金 This research was partly supported by Hong Kong research grants(General Research Fund(GRF)from University Grants Committee:GRF 151021/18M and GRF 151022/19M Health and Medical Research Fund(HMRF)from Food and Health Bureau:HMRF 06173276 and HMRF 07183266).

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