A New Workflow for Image-Guided Intraoperative Electron Radiotherapy Using Projection-Based Pose Tracking
Autor: | Felipe A. Calvo, Juan E. Ortuño, Javier Pascau, Andres Santos, Subhra Sundar Goswami, Maria J. Ledesma-Carbayo |
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Přispěvatelé: | Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España) |
Rok vydání: | 2020 |
Předmět: |
3D-2D registration
General Computer Science Computer science medicine.medical_treatment Radiography IORT ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computed tomography Radiation Imaging phantom 030218 nuclear medicine & medical imaging IGIOERT 03 medical and health sciences 0302 clinical medicine Robustness (computer science) medicine General Materials Science Computer vision Biología y Biomedicina 3d-2d registration medicine.diagnostic_test business.industry General Engineering image guided intra operative electron radiotherapy IOERT Radiation therapy Workflow Image guided intra operative electron radiotherapy 030220 oncology & carcinogenesis Artificial intelligence lcsh:Electrical engineering. Electronics. Nuclear engineering business Fiducial marker lcsh:TK1-9971 |
Zdroj: | e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid Universidad Carlos III de Madrid (UC3M) e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid instname IEEE Access, Vol 8, Pp 137501-137516 (2020) |
DOI: | 10.1109/access.2020.3011915 |
Popis: | A new workflow is proposed to update the intraoperative electron radiotherapy (IOERT) planning refreshing the position and orientation (pose) of a virtual applicator with respect to the preoperative computed tomography (CT) with the actual pose during surgery. The workflow proposed relies on a robust registration of the preoperative CT and intraoperative projection radiographs acquired with a C-arm system. The workflow initially performs a geometric calibration of the C-arm using fiducials placed on the applicator. In the next step, a point-based 2D-3D registration based on fiducials positioned on the patient's skin is performed, followed by an intensity-based registration that refines the point-based registration result. The performance of the workflow has been evaluated using a realistic physical phantom consisting of a pig lower limb and its corresponding CT and 7 C-arm projections at different poses. The accuracy has been measured with respect to the applicator origin and axis before and after the registration refinement process. A feasibility study with human data is also included. Error analysis revealed angular accuracy of 0.9 ± 0.7 degrees and translational accuracy of 1.9 ± 1 mm. Our experiments demonstrated that the proposed workflow can achieve subdegree angular accuracy in locating the applicator with respect to the preoperative CT to update and supervise the IOERT planning right before radiation delivery. The proposed workflow could be easily implementable in a routine, corresponding to a significant improvement in quality assurance during IOERT procedures. |
Databáze: | OpenAIRE |
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