Cine-MRI Simulation to Evaluate Tumor Tracking
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Dokumenter
- Fulltext
Accepteret manuskript, 338 KB, PDF-dokument
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 |
Antal downloads er baseret på statistik fra Google Scholar og www.ku.dk
ID: 282675760