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dc.contributor.authorBarber, J
dc.contributor.authorYuen, J
dc.contributor.authorJameson, M
dc.contributor.authorSchmidt, L
dc.contributor.authorSykes, J
dc.contributor.authorGray, A
dc.contributor.authorHardcastle, N
dc.contributor.authorChoong, C
dc.contributor.authorPoder, J
dc.contributor.authorWalker, A
dc.contributor.authorYeo, A
dc.contributor.authorArchibald-Heeren, B
dc.contributor.authorHarrison, K
dc.contributor.authorHaworth, A
dc.contributor.authorThwaites, D
dc.date.accessioned2020-11-27T00:36:13Z
dc.date.available2020-11-27T00:36:13Z
dc.date.issued2020-08-02
dc.identifier.citationBarber, J., Yuen, J., Jameson, M., Schmidt, L., Sykes, J., Gray, A., Hardcastle, N., Choong, C., Poder, J., Walker, A., Yeo, A., Archibald-Heeren, B., Harrison, K., Haworth, A. & Thwaites, D. (2020). Deforming to Best Practice: Key considerations for deformable image registration in radiotherapy. JOURNAL OF MEDICAL RADIATION SCIENCES, 67 (4), pp.318-332. https://doi.org/10.1002/jmrs.417.
dc.identifier.issn2051-3895
dc.identifier.urihttp://hdl.handle.net/11343/252520
dc.description.abstractImage registration is a process that underlies many new techniques in radiation oncology - from multimodal imaging and contour propagation in treatment planning to dose accumulation throughout treatment. Deformable image registration (DIR) is a subset of image registration subject to high levels of complexity in process and validation. A need for local guidance to assist in high-quality utilisation and best practice was identified within the Australian community, leading to collaborative activity and workshops. This report communicates the current limitations and best practice advice from early adopters to help guide those implementing DIR in the clinic at this early stage. They are based on the state of image registration applications in radiotherapy in Australia and New Zealand (ANZ), and consensus discussions made at the 'Deforming to Best Practice' workshops in 2018. The current status of clinical application use cases is presented, including multimodal imaging, automatic segmentation, adaptive radiotherapy, retreatment, dose accumulation and response assessment, along with uptake, accuracy and limitations. Key areas of concern and preliminary suggestions for commissioning, quality assurance, education and training, and the use of automation are also reported. Many questions remain, and the radiotherapy community will benefit from continued research in this area. However, DIR is available to clinics and this report is intended to aid departments using or about to use DIR tools now.
dc.languageEnglish
dc.publisherWILEY
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0
dc.titleDeforming to Best Practice: Key considerations for deformable image registration in radiotherapy
dc.typeJournal Article
dc.identifier.doi10.1002/jmrs.417
melbourne.affiliation.departmentSir Peter MacCallum Department of Oncology
melbourne.source.titleJournal of Medical Radiation Sciences
melbourne.source.volume67
melbourne.source.issue4
melbourne.source.pages318-332
dc.rights.licenseCC BY-NC
melbourne.elementsid1460909
melbourne.contributor.authorHaworth, Annette
melbourne.contributor.authorHardcastle, Nicholas
dc.identifier.eissn2051-3909
melbourne.accessrightsOpen Access


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