An automated, quantitative, and case-specific evaluation of deformable image registration in computed tomography images

Kierkels, Roel G J; Otter, Lydia A. den; Korevaar, E.; Langendijk, Johannes A.; Schaaf, Arjen van der; Knopf, Antje; Sijtsema, Nanna M.

doi:10.1088/1361-6560/aa9dc2

Cited by 25 publications

(34 citation statements)

References 37 publications

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“…Fourth, the intrafraction motion was determined only at the isocenter, intrafraction motion may have had a systematic component if more scans were analyzed per patient, while deformable image registration errors between the planning and verification CTs may have occurred. Lastly, earlier studies showed that the average deformation error is in the order of a millimeter, but this deformation error was present for all adjusted treatment plans and therefore does not bias the results [25,32].…”

Section: Discussionmentioning

confidence: 83%

Head and neck IMPT probabilistic dose accumulation: Feasibility of a 2 mm setup uncertainty setting

Wagenaar

Kierkels

Schaaf

et al. 2021

Radiotherapy and Oncology

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Objective: To establish optimal robust optimization uncertainty settings for clinical head and neck cancer (HNC) patients undergoing 3D image-guided pencil beam scanning (PBS) proton therapy. Methods: We analyzed ten consecutive HNC patients treated with 70 and 54.25 Gy RBE to the primary and prophylactic clinical target volumes (CTV) respectively using intensity-modulated proton therapy (IMPT). Clinical plans were generated using robust optimization with 5 mm/3% setup/range uncertainties (RayStation v6.1). Additional plans were created for 4, 3, 2 and 1 mm setup and 3% range uncertainty and for 3 mm setup and 3%, 2% and 1% range uncertainty. Systematic and random error distributions were determined for setup and range uncertainties based on our quality assurance program. From these, 25 treatment scenarios were sampled for each plan, each consisting of a systematic setup and range error and daily random setup errors. Fraction doses were calculated on the weekly verification CT closest to the date of treatment as this was considered representative of the daily patient anatomy. Results: Plans with a 2 mm/3% setup/range uncertainty setting adequately covered the primary and prophylactic CTV (V 95 ! 99% in 98.8% and 90.8% of the treatment scenarios respectively). The average organat-risk dose decreased with 1.1 Gy RBE /mm setup uncertainty reduction and 0.5 Gy RBE /1% range uncertainty reduction. Normal tissue complication probabilities decreased by 2.0%/mm setup uncertainty reduction and by 0.9%/1% range uncertainty reduction. Conclusion: The results of this study indicate that margin reduction below 3 mm/3% is possible but requires a larger cohort to substantiate clinical introduction.

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Section: Discussionmentioning

confidence: 83%

Head and neck IMPT probabilistic dose accumulation: Feasibility of a 2 mm setup uncertainty setting

Wagenaar

Kierkels

Schaaf

et al. 2021

Radiotherapy and Oncology

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“…As we applied the multimodal algorithm locally on the lungs, sliding boundaries were not considered. Most of the DIR‐involved uncertainties are considered to be around 2.0 mm, which is also the median of the displacements found. However, locally we found much larger displacements up to 7.0 mm, which is beyond the range of errors associated with DIR.…”

Section: Discussionmentioning

confidence: 94%

Reproducibility of the lung anatomy under active breathing coordinator control: Dosimetric consequences for scanned proton treatments

et al. 2018

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“…A perfect point-topoint matching is probably an unreachable goal considering the voxel size, artifacts and realistic deformation constraints. Owing to the large number of DIR methods, standard evaluation criteria must be defined and generalized [153,160]. The development of numerical phantoms is a first step toward comparing and validating DIR methods, particularly for dose accumulation.…”

Section: Issues In the Choice Of The Dir Evaluation Methodsmentioning

confidence: 99%

Deformable image registration for radiation therapy: principle, methods, applications and evaluation

et al. 2019

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Background: Deformable image registration (DIR) is increasingly used in the field of radiation therapy (RT) to account for anatomical deformations. The aims of this paper are to describe the main applications of DIR in RT and discuss current DIR evaluation methods. Methods: Articles on DIR published from January 2000 to October 2018 were extracted from PubMed and Science Direct. Our search was restricted to articles that report data obtained from humans, were written in English, and address DIR methods for RT. A total of 207 articles were selected from among 2506 identified in the search process. Results: At planning, DIR is used for organ delineation using atlas-based segmentation, deformationbased planning target volume definition, functional planning and magnetic resonance imaging-based dose calculation. In image-guided RT, DIR is used for contour propagation and dose calculation on per-treatment imaging. DIR is also used to determine the accumulated dose from fraction to fraction in external beam RT and brachytherapy, both for dose reporting and adaptive RT. In the case of reirradiation, DIR can be used to estimate the cumulated dose of the two irradiations. Finally, DIR can be used to predict toxicity in voxel-wise population analysis. However, the evaluation of DIR remains an open issue, especially when dealing with complex cases such as the disappearance of matter. To quantify DIR uncertainties, most evaluation methods are limited to geometry-based metrics. Software companies have now integrated DIR tools into treatment planning systems for clinical use, such as contour propagation and fraction dose accumulation. Conclusions: DIR is increasingly important in RT applications, from planning to toxicity prediction. DIR is routinely used to reduce the workload of contour propagation. However, its use for complex dosimetric applications must be carefully evaluated by combining quantitative and qualitative analyses.

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An automated, quantitative, and case-specific evaluation of deformable image registration in computed tomography images

Cited by 25 publications

References 37 publications

Head and neck IMPT probabilistic dose accumulation: Feasibility of a 2 mm setup uncertainty setting

Head and neck IMPT probabilistic dose accumulation: Feasibility of a 2 mm setup uncertainty setting

Reproducibility of the lung anatomy under active breathing coordinator control: Dosimetric consequences for scanned proton treatments

Deformable image registration for radiation therapy: principle, methods, applications and evaluation

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