- Title
- Voxel-wise analysis for spatial characterisation of pseudo-ct errors in MRI-only radiotherapy planning
- Creator
- Chourak, Hilda; Barateau, Anais; Mylona, Eugenia; Cadin, Capucine; Lafond, Caroline; Greer, Peter; Dowling, Jason; Jean-Claude-Nunes,; Crevoisier, Renaud De; Acosta, Oscar
- Relation
- 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI). Proceedings of the2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) (Nice, France 13-16 April, 2021) p. 395-399
- Publisher Link
- http://dx.doi.org/10.1109/ISBI48211.2021.9433800
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Resource Type
- conference paper
- Date
- 2021
- Description
- Several approaches have been proposed to generate pseudo computed tomography (pCT) from MR images for radiotherapy dose calculation. Quantification of errors in pCT has been reported using global scores disregarding spatial heterogeneity. The aim of this work was to propose a population voxel-based workflow allowing the local assessment of errors in the generation of pCTs from MRI. For the voxel-wise analysis to be anatomically meaningful, a robust customized inter-patient non-rigid registration method brought the population images to the same coordinate system. To illustrate the use of this methodology, four pCT generation methods were compared: atlas-based, patch-based, and two deep learning methods. Considering global and local scores, deep learning appeared widely superior. Main source of errors were found in the cortical bones. The proposed workflow paves the way for quality control procedures within the clinical workflow.
- Subject
- MRI-radiotherapy treatment planning; pseudo CT generation; voxel-based analysis
- Identifier
- http://hdl.handle.net/1959.13/1450132
- Identifier
- uon:43841
- Identifier
- ISBN:9781665412469
- Language
- eng
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