MRI-guided mid-position liver radiotherapy: Validation of image processing and registration steps
| Autor: | Martin F. Fast, S. Van Kranen, T. Van de Lindt, E.P.M. Jansen, Jan-Jakob Sonke, Marlies E. Nowee, U. A. van der Heide |
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| Rok vydání: | 2019 |
| Předmět: |
Image quality
Computer science Image registration Image processing Magnetic Resonance Imaging Interventional Radiosurgery 030218 nuclear medicine & medical imaging 03 medical and health sciences Imaging Three-Dimensional 0302 clinical medicine Data acquisition Position (vector) Image Interpretation Computer-Assisted Humans Radiology Nuclear Medicine and imaging Computer vision Euclidean vector business.industry Liver Neoplasms Reproducibility of Results Hematology Workflow Liver Oncology 030220 oncology & carcinogenesis Metric (mathematics) Artificial intelligence business Algorithms |
| Zdroj: | Radiotherapy and Oncology. 138:132-140 |
| ISSN: | 0167-8140 |
| DOI: | 10.1016/j.radonc.2019.06.007 |
| Popis: | Background & purpose To propose a novel mid-position (midP) workflow for MRI-guided liver SBRT and provide a validation of the required midP-MRI generation and registration steps. Materials & methods The first step of the midP workflow is the generation of a simulation midP-MRI from a 4D-MRI scan using deformable image registration. Next, a planning midP-CT is warped to the midP-MRI to enable planning in the midP-MRI anatomy. For daily MRI-guidance, three different registration methods to the simulation midP-MRI are proposed; (1) 4D rigid registration of all phases of the daily 4D-MRI, (2) 3D rigid registration of the daily midP-MRI, and (3) 3D deformable registration of the daily midP-MRI. The midP-MRI image quality was assessed with respect to 4D-MRI acquisition time, which is related to over-sampling of the data acquisition (i.e. number of dynamics). The deformable registration precision for the midP-MRI generation was validated using the distance discordance metric (DDM). The deformable CT-MRI and daily MRI-MRI registration accuracies were quantified using the ‘full circle method’. Results The DDM was 1.5 mm (median) within the liver, independent of the number of dynamics. The root-mean-squared difference between midP-MRIs based on 10 and 60 dynamics was only 5.2%. The full circle CT-MRI deformable registration error had a median 3D vector length of 1.8 mm in the liver. The daily MRI-MRI registration error was submillimeter for all three evaluated methods. Conclusion The feasibility of an MRI-guided mid-position workflow for liver SBRT is supported by the demonstrated high precision of all image processing and registration steps. |
| Databáze: | OpenAIRE |
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