2015
DOI: 10.1118/1.4894702
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The ANACONDA algorithm for deformable image registration in radiotherapy

Abstract: ANACONDA performs well in comparison with other algorithms. By including CT/CBCT data in the validation, the various aspects of the algorithm such as its ability to handle different modalities, large deformations, and air pockets are shown.

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Cited by 224 publications
(232 citation statements)
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“…Although the deformable registration algorithm was validated previously for pelvic registrations [21], we validated our registrations by visual inspection and OAR similarity quantification to ensure plausible dose warping. However, an extensive validation of the complete anatomical correctness and the influence of possible incorrectness on dose accumulation is still an important challenge in RT [25] and beyond the scope of this study.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Although the deformable registration algorithm was validated previously for pelvic registrations [21], we validated our registrations by visual inspection and OAR similarity quantification to ensure plausible dose warping. However, an extensive validation of the complete anatomical correctness and the influence of possible incorrectness on dose accumulation is still an important challenge in RT [25] and beyond the scope of this study.…”
Section: Discussionmentioning
confidence: 99%
“…The toxicity-related DVH parameters (rectum V 30Gy , bowel cavity V 45Gy ) were estimated by scaling patient-specific averages of rectum V 30Gy -fx and bowel cavity V 45Gy -fx with the prescribed number of fractions. Alternatively, CTs were registered deformably to the full bladder planning CT using the hybrid deformable registration algorithm implemented in RayStation [21]. Based on these registrations, fraction dose distributions were warped and weighted accumulated to derive total delivered dose distributions.…”
Section: Oar Toxicitymentioning
confidence: 99%
“…3DCRT, IMRT, and VMAT plans were then calculated in each of the manifested patient geometries observed during treatment. The CBCT images were deformably registered with the planning CT using the ANACONDA [18] algorithm available within the RayStation Âź TPS. The deformations were then applied to the dose cube calculated on the CBCT to enable dose summation, thereby allowing us to calculate an estimate of the delivered accumulated dose.…”
Section: Dose Accumulationmentioning
confidence: 99%
“…Yeo et al6 demonstrated that the Optical Flow algorithm can perform accurate DIR in low contrast regions. Demons is a well‐known algorithm for intensity‐based DIR 12. Both the Optical Flow and Demons algorithms have been used in deformable registration for commercial software 6, 12.…”
Section: Introductionmentioning
confidence: 99%
“…Demons is a well‐known algorithm for intensity‐based DIR 12. Both the Optical Flow and Demons algorithms have been used in deformable registration for commercial software 6, 12. Regarding the mapping direction, when the forward mapping is estimated, every voxel of the source image is pushed forward to its estimated position in the target image.…”
Section: Introductionmentioning
confidence: 99%