Conference paper · Book chapter
Cine-MRI Simulation to Evaluate Tumor Tracking
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.
Language: | English |
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Publisher: | Springer |
Year: | 2021 |
Pages: | 131-141 |
Proceedings: | 6th International Workshop on Simulation and Synthesis in Medical Imaging |
Series: | Lecture Notes in Computer Science |
ISBN: | 3030875911 , 303087592X , 303087592x , 9783030875916 and 9783030875923 |
ISSN: | 16113349 and 03029743 |
Types: | Conference paper and Book chapter |
DOI: | 10.1007/978-3-030-87592-3_13 |
ORCIDs: | 0000-0002-8291-4003 , 0000-0001-6808-4747 , 0000-0001-6114-7100 and Wahlstedt, Isak |