Multi-object tracking in MRI-guided radiotherapy using the tracking-learning-detection framework

Jennifer Dhont, Jef Vandemeulebroucke, Davide Cusumano, Luca Boldrini, Francesco Cellini, Vincenzo Valentini, Dirk Verellen

Research output: Contribution to journalArticle

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.

Original languageEnglish
Pages (from-to)25-29
Number of pages5
JournalRadiotherapy and Oncology
Volume138
DOIs
Publication statusPublished - Sep 2019

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