2020
DOI: 10.1002/acm2.12787
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Evaluation of a commercial DIR platform for contour propagation in prostate cancer patients treated with IMRT/VMAT

Abstract: Purpose: To assess the performance and limitations of contour propagation with three commercial deformable image registration (DIR) algorithms using fractional scans of CT-on-rails (CTOR) and Cone Beam CT (CBCT) in image guided prostate therapy patients treated with IMRT/VMAT. Methods: Twenty prostate cancer patients treated with IMRT/VMAT were selected for analysis. A total of 453 fractions across those patients were analyzed. Image data were imported into MIM (MIM Software, Inc., Cleveland, OH) and three DIR… Show more

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Cited by 4 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%
“…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%