Cine-MRI Simulation to Evaluate Tumor Tracking
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Accepted author manuscript, 338 KB, PDF document
Conventional evaluations of tumor tracking algorithms require inter-observer segmentations from radiation oncologists on the Cine-MRI (2D sagittal MR video). Instead of performing intensive manual annotations on images, we present a 2D video simulator that uses the pre-treatment images, including a breathing model, that generates Cine-MR images in parallel with the underlined segmentation of the tumor. We include the data of seven patients within a retrospective clinical study that received stereotactic body radiation therapy for liver metastases. Each patient has a pre-treatment 4DCT scan, a pre-treatment 3D MR with tumor and liver delineations, and the treatment Cine-MRI. We augment the data with the simulator by changing breathing motion parameters and adding noise. The simulator generates a total of 84 Cine-MRI sequences, thus having 12 videos per patient. We validate the simulated versus the real Cine-MRI in terms of tumor motion. Finally, we used the simulator to evaluate the performance of real-time tumor tracking algorithms with this dataset.
Original language | English |
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Title of host publication | Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings |
Editors | David Svoboda, Ninon Burgos, Jelmer M. Wolterink, Can Zhao |
Publisher | Springer |
Publication date | 2021 |
Pages | 131-141 |
ISBN (Print) | 9783030875916 |
DOIs | |
Publication status | Published - 2021 |
Event | 6th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2021, held in conjunction with the 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021 - Virtual, Online Duration: 27 Sep 2021 → 27 Sep 2021 |
Conference
Conference | 6th International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2021, held in conjunction with the 24th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2021 |
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By | Virtual, Online |
Periode | 27/09/2021 → 27/09/2021 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12965 LNCS |
ISSN | 0302-9743 |
- Cine-MRI, Image-guided radiotherapy, Real-time, Simulation, Tumor tracking
Research areas
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