Abstract
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.
| Originalsprog | Engelsk |
|---|---|
| Titel | Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings |
| Redaktører | David Svoboda, Ninon Burgos, Jelmer M. Wolterink, Can Zhao |
| Forlag | Springer |
| Publikationsdato | 2021 |
| Sider | 131-141 |
| ISBN (Trykt) | 9783030875916 |
| DOI | |
| Status | Udgivet - 2021 |
| Begivenhed | 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 Varighed: 27 sep. 2021 → 27 sep. 2021 |
Konference
| Konference | 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 |
|---|---|
| By | Virtual, Online |
| Periode | 27/09/2021 → 27/09/2021 |
| Navn | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Vol/bind | 12965 LNCS |
| ISSN | 0302-9743 |
Finansiering
Acknowledgment. This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 764644. This paper only contains the author’s views and the Research Executive Agency and the Commission are not responsible for any use that may be made of the information it contains. This project has received funding from the European Union?s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 764644. This paper only contains the author?s views and the Research Executive Agency and the Commission are not responsible for any use that may be made of the information it contains.
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