Standard
Cine-MRI Simulation to Evaluate Tumor Tracking. / Tascón-Vidarte, José D.; Wahlstedt, Isak; Jomier, Julien; Erleben, Kenny; Vogelius, Ivan R.; Darkner, Sune.
Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. red. / David Svoboda; Ninon Burgos; Jelmer M. Wolterink; Can Zhao. Springer, 2021. s. 131-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12965 LNCS).
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Tascón-Vidarte, JD, Wahlstedt, I, Jomier, J
, Erleben, K, Vogelius, IR & Darkner, S 2021,
Cine-MRI Simulation to Evaluate Tumor Tracking. i D Svoboda, N Burgos, JM Wolterink & C Zhao (red),
Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), bind 12965 LNCS, s. 131-141, 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,
27/09/2021.
https://doi.org/10.1007/978-3-030-87592-3_13APA
Tascón-Vidarte, J. D., Wahlstedt, I., Jomier, J.
, Erleben, K., Vogelius, I. R., & Darkner, S. (2021).
Cine-MRI Simulation to Evaluate Tumor Tracking. I D. Svoboda, N. Burgos, J. M. Wolterink, & C. Zhao (red.),
Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings (s. 131-141). Springer. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Bind 12965 LNCS
https://doi.org/10.1007/978-3-030-87592-3_13Vancouver
Tascón-Vidarte JD, Wahlstedt I, Jomier J
, Erleben K, Vogelius IR, Darkner S.
Cine-MRI Simulation to Evaluate Tumor Tracking. I Svoboda D, Burgos N, Wolterink JM, Zhao C, red., Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. Springer. 2021. s. 131-141. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12965 LNCS).
https://doi.org/10.1007/978-3-030-87592-3_13Author
Tascón-Vidarte, José D. ; Wahlstedt, Isak ; Jomier, Julien ; Erleben, Kenny ; Vogelius, Ivan R. ; Darkner, Sune. / Cine-MRI Simulation to Evaluate Tumor Tracking. Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings. red. / David Svoboda ; Ninon Burgos ; Jelmer M. Wolterink ; Can Zhao. Springer, 2021. s. 131-141 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12965 LNCS).
Bibtex
@inproceedings{cd50b8ba8cb941c8908cbe063167caee,
title = "Cine-MRI Simulation to Evaluate Tumor Tracking",
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.",
keywords = "Cine-MRI, Image-guided radiotherapy, Real-time, Simulation, Tumor tracking",
author = "Tasc{\'o}n-Vidarte, {Jos{\'e} D.} and Isak Wahlstedt and Julien Jomier and Kenny Erleben and Vogelius, {Ivan R.} and Sune Darkner",
year = "2021",
doi = "10.1007/978-3-030-87592-3_13",
language = "English",
isbn = "9783030875916",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "131--141",
editor = "David Svoboda and Ninon Burgos and Wolterink, {Jelmer M.} and Can Zhao",
booktitle = "Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings",
address = "Switzerland",
note = "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 ; Conference date: 27-09-2021 Through 27-09-2021",
}
RIS
TY - GEN
T1 - Cine-MRI Simulation to Evaluate Tumor Tracking
AU - Tascón-Vidarte, José D.
AU - Wahlstedt, Isak
AU - Jomier, Julien
AU - Erleben, Kenny
AU - Vogelius, Ivan R.
AU - Darkner, Sune
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Cine-MRI
KW - Image-guided radiotherapy
KW - Real-time
KW - Simulation
KW - Tumor tracking
U2 - 10.1007/978-3-030-87592-3_13
DO - 10.1007/978-3-030-87592-3_13
M3 - Article in proceedings
AN - SCOPUS:85115861365
SN - 9783030875916
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 131
EP - 141
BT - Simulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings
A2 - Svoboda, David
A2 - Burgos, Ninon
A2 - Wolterink, Jelmer M.
A2 - Zhao, Can
PB - Springer
T2 - 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
Y2 - 27 September 2021 through 27 September 2021
ER -
