Multi-object tracking in MRI-guided radiotherapy using the tracking-learning-detection framework. (September 2019)

• Record Type: Journal Article
• Authors: Dhont, Jennifer; Vandemeulebroucke, Jef; Cusumano, Davide; Boldrini, Luca; Cellini, Francesco; Valentini, Vincenzo; Verellen, Dirk
• Is Part Of: Radiotherapy and oncology. Volume 138(2019)
• Page Start: 25
• Page End: 29
• Publication Date: 2019-09
• Subjects: Motion management -- MRI -- Tracking; Oncology -- Periodicals; Radiotherapy -- Periodicals; Tumors -- Periodicals; Medical Oncology -- Periodicals; Neoplasms -- radiotherapy -- Periodicals; Radiotherapy -- Periodicals; Radiothérapie -- Périodiques; Cancérologie -- Périodiques; Tumeurs -- Périodiques; Electronic journals; 616.9940642
• DOI: 10.1016/j.radonc.2019.05.008
• Languages: English
• ISSNs: 0167-8140

Abstract

Abstract: The application of the tracking-learning-detection (TLD) framework; a performant tracking algorithm for real-life objects in CCD video, was evaluated and successfully optimized for tracking anatomical structures in low-quality 2D cine-MRI acquired during MRI-guided radiotherapy. Sub-pixel tracking accuracy and >95% precision and recall was achieved despite significant deformations and periodical disappearance.