Feasibility of real-time motion tracking using cine MRI during MR-guided radiation therapy for abdominal targets
| Autor: | Xinfeng Chen, François Hébert, Eric S. Paulson, X. Allen Li, David T. Cooper, An Tai, Silvain Bériault, Fabienne Lathuiliere, Martin Lachaine, T. Keiper |
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| Rok vydání: | 2019 |
| Předmět: |
Computer science
medicine.medical_treatment Movement Image registration Magnetic Resonance Imaging Cine Tracking (particle physics) Translation (geometry) Motion (physics) 030218 nuclear medicine & medical imaging 03 medical and health sciences Motion 0302 clinical medicine Organ Motion Imaging Three-Dimensional Match moving Abdomen medicine Humans Computer vision medicine.diagnostic_test business.industry Phantoms Imaging Respiration Magnetic resonance imaging General Medicine Magnetic Resonance Imaging Sagittal plane Radiation therapy medicine.anatomical_structure 030220 oncology & carcinogenesis Temporal resolution Coronal plane Feasibility Studies Artificial intelligence business |
| Zdroj: | Medical physicsReferences. 47(8) |
| ISSN: | 2473-4209 |
| Popis: | PURPOSE Real-time high soft-tissue contrast magnetic resonance imaging (MRI) from the MR-Linac offers the best opportunity for accurate motion tracking during radiation therapy delivery via high-frequency two-dimensional (2D) cine imaging. This work investigates the efficacy of real-time organ motion tracking based on the registration of MRI acquired on MR-Linac. METHODS Algorithms based on image intensity were developed to determine the three-dimensional (3D) translation of abdominal targets. 2D and 3D abdominal MRIs were acquired for 10 healthy volunteers using a high-field MR-Linac. For each volunteer, 3D respiration-gated T2 and 2D T2/T1-weighted cine in sagittal, coronal, and axial planes with a planar temporal resolution of 0.6 for 60 s was captured. Datasets were also collected on MR-compatible physical and virtual four-dimensional (4D) motion phantoms. Target contours for the liver and pancreas from the 3D T2 were populated to the cine and assumed as the ground-truth motion. We performed image registration using a research software to track the target 3D motion. Standard deviations of the error (SDE) between the ground-truth and tracking were analyzed. RESULTS Algorithms using a research software were demonstrated to be capable of tracking arbitrary targets in the abdomen at 5 Hz with an overall accuracy of 0.6 mm in phantom studies and 2.1 mm in volunteers. However, this value is subject to patient-specific considerations, namely motion amplitude. Calculation times of |
| Databáze: | OpenAIRE |
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