Evaluating the quality of patient-specific deformable image registration in adaptive radiotherapy using a digitally enhanced head and neck phantom

Cagni, Elisabetta, Botti, Andrea, Orlandi, Matteo, Galaverni, Marco, Lotti, Cinzia, Iori, Mauro, Lewis, Geraint and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 2022. Evaluating the quality of patient-specific deformable image registration in adaptive radiotherapy using a digitally enhanced head and neck phantom. Applied Sciences 12 (19) , 9493. 10.3390/app12199493

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Abstract

This paper presents a deformable image registration-based method for the quality assurance of head and neck adaptive radiotherapy using digitally post-processed anthropomorphic phantom image datasets. One of the main findings of this work is that spatial and dose errors are a function of the magnitude of the deformation and of the gradient of the dose distribution. This emphasizes the importance of performing patient-specific deformable image registration verification and, consequently, the need to develop and make available tools that are for this purpose.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Engineering
Publisher:	MDPI
ISSN:	2076-3417
Date of First Compliant Deposit:	10 October 2022
Date of Acceptance:	15 September 2022
Last Modified:	25 Jun 2025 21:15
URI:	https://orca.cardiff.ac.uk/id/eprint/153140

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