2023
DOI: 10.1088/1361-6560/ad0d8a
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Review and recommendations on deformable image registration uncertainties for radiotherapy applications

Lena Nenoff,
Florian Amstutz,
Martina Murr
et al.

Abstract: Deformable image registration (DIR) is a versatile tool used in many applications in radiotherapy (RT). DIR algorithms have been implemented in many commercial treatment planning systems providing accessible and easy-to-use solutions. However, the geometric uncertainty of DIR can be large and difficult to quantify, resulting in barriers to clinical practice. Currently, there is no agreement in the RT community on how to quantify these uncertainties and determine thresholds that distinguish a good DIR result fr… Show more

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Cited by 12 publications
(2 citation statements)
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References 272 publications
(381 reference statements)
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“…Our aim is to explore this option further, for instance, if applying ANACONDA+ in an adaptive cervical cancer treatment planning setting. Within that work, it would also be of interest to do a thorough validation study, both including other metrics, inspired by Brock et al (2017), Nenoff et al (2023), as well as a more diverse patient set to show under which circumstances ANACONDA+ is robust and accurate for dose accumulation. The recent review article by Murr et al (2023) points out the importance of such studies.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Our aim is to explore this option further, for instance, if applying ANACONDA+ in an adaptive cervical cancer treatment planning setting. Within that work, it would also be of interest to do a thorough validation study, both including other metrics, inspired by Brock et al (2017), Nenoff et al (2023), as well as a more diverse patient set to show under which circumstances ANACONDA+ is robust and accurate for dose accumulation. The recent review article by Murr et al (2023) points out the importance of such studies.…”
Section: Discussionmentioning
confidence: 99%
“…Despite the widespread usage of DIR, deformation algorithms encounter challenges when dealing with complex deformations that involve significant anatomical changes and organ displacements, leading to DIR uncertainties (Nenoff et al 2023). Such scenarios commonly arise in reRT cases, where a considerable time gap may exist between image acquisitions (Nix et al 2022, Vásquez Osorio et al 2023; also in pelvic cases, characterized by difficulties in achieving consistent bladder and rectum filling (Thörnqvist et al 2010) and internal risk organ movements (Ghose et al 2015); and, finally, in brachytherapy procedures, where an applicator is present in only one of the images (Vásquez Osorio et al 2015).…”
Section: Introductionmentioning
confidence: 99%