Cine-MRI Simulation to Evaluate Tumor Tracking

José D. Tascón-Vidarte*, Isak Wahlstedt, Julien Jomier, Kenny Erleben, Ivan R. Vogelius, Sune Darkner

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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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 languageEnglish
Title of host publicationSimulation and Synthesis in Medical Imaging - 6th International Workshop, SASHIMI 2021, Held in Conjunction with MICCAI 2021, Proceedings
Publication date2021
ISBN (Print)9783030875916
Publication statusPublished - 2021
Event6th International Workshop on Simulation and Synthesis in Medical Imaging - Strasbourg, France
Duration: 27 Sept 202127 Sept 2021
Conference number: 6


Conference6th International Workshop on Simulation and Synthesis in Medical Imaging
SeriesLecture Notes in Computer Science


  • Cine-MRI
  • Image-guided radiotherapy
  • Real-time
  • Simulation
  • Tumor tracking


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