Validation of Deformable Image Registration by Using a B-spline and Optical-Flow Algorithm in Head and Neck Cancer Cases

Lee, Soon Sung; Choi, Sang Hyoun; Kim, Kum Bae; Paik, Eun Kyung

doi:10.3938/jkps.76.194

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…The choice of the DIR algorithm and parameter settings influences the DVF obtained when registering the same image pair. Several studies investigate the performance of different DIR algorithms, for example in HN (Hardcastle et al 2012 , Močnik et al 2018 , Qin et al 2018 , Lee et al 2020 , Kubli et al 2021 ), lung (Kadoya et al 2014 , Scaggion et al 2020a ), liver (Zhang et al 2012 , Sen et al 2020 ) or pelvis (Hammers et al 2020 ). Some commercial DIR algorithms offer the possibility of parameter adjustments, such as registration metrics, guiding structures, regularisation levels, regularisation weights, or contrast level sensitivity, which causes uncertainty of the algorithm to vary (Ziegler et al 2019 ).…”

Section: Source Of Uncertaintiesmentioning

confidence: 99%

Review and recommendations on deformable image registration uncertainties for radiotherapy applications

Nenoff,

Amstutz,

Murr

et al. 2023

Phys. Med. Biol.

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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 from a poor one. This review summarises the current literature on sources of DIR uncertainties and their impact on RT applications. Recommendations are provided on how to handle these uncertainties for patient-specific use, commissioning, and research. Recommendations are also provided for developers and vendors to help users to understand DIR uncertainties and make the application of DIR in RT safer and more reliable.

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