Jason A Dowling1,2,3,4,5,6,7, Laura M O'Connor8,9. 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.
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.
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