Deformable image registration in radiation therapy

Jason A Dowling; Laura M O'Connor

doi:10.1002/jmrs.446

Deformable image registration in radiation therapy

J Med Radiat Sci. 2020 Dec;67(4):257-259. doi: 10.1002/jmrs.446. Epub 2020 Oct 26.

Authors

Jason A Dowling^{1

2

3

4

5

6

7}, Laura M O'Connor^{8

9}

Affiliations

¹ CSIRO Australian E-Health Research Centre, Herston, Queensland, Australia.
² School of Mathematical and Physical Sciences, University of Newcastle, Newcastle, New South Wales, Australia.
³ School of Information Technology and Electrical Engineering, University of Queensland, St Lucia, Queensland, Australia.
⁴ School of Information Technology and Systems, University of Canberra, Canberra, Australian Capital Territory, Australia.
⁵ Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
⁶ Centre for Medical Radiation Physics, University of Wollongong, Wollongong, New South Wales, Australia.
⁷ Institute of Medical Physics, University of Sydney, Sydney, New South Wales, Australia.
⁸ Department of Radiation Oncology, Calvary Mater Newcastle Hospital, Newcastle, New South Wales, Australia.
⁹ School of Health Sciences, University of Newcastle, Newcastle, New South Wales, Australia.

Abstract

Deformable image registration is an increasingly important method to account for soft tissue deformation between image acquisitions. This editorial discusses the clinical need and current status of deformable image registration.

© 2020 The Authors. Journal of Medical Radiation Sciences published by John Wiley & Sons Australia, Ltd on behalf of Australian Society of Medical Imaging and Radiation Therapy and New Zealand Institute of Medical Radiation Technology.

Publication types

Editorial

MeSH terms

Humans
Image Processing, Computer-Assisted* / methods
Radiotherapy, Image-Guided / methods