A Hybrid Image Registration and Matching Framework for Real-Time Motion Tracking in MRI-Guided Radiotherapy

• Published in: IEEE transactions on biomedical engineering Vol. 65; no. 1; pp. 131 - 139
• Main Authors: Seregni, Matteo, Paganelli, Chiara, Summers, Paul, Bellomi, Massimo, Baroni, Guido, Riboldi, Marco
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Biomedical optical imaging; Computational efficiency; Computer applications; Computing time; Feature extraction; Humans; Image guidance; Image Processing, Computer-Assisted - methods; Image registration; Landmarks; Liver; Liver - diagnostic imaging; Liver Neoplasms - diagnostic imaging; Liver Neoplasms - radiotherapy; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Matching; Motion compensation; motion tracking; Optical flow (image analysis); Optical imaging; Radiation therapy; radiotherapy; Radiotherapy, Image-Guided - methods; Real time; Real-time systems; Registration; Similarity; Tracking; Trajectories; Tumors; Workflow

Objective: MRI-guided radiotherapy (MRIgRT) is an emerging treatment technique where anatomical and pathological structures are imaged through integrated MR-radiotherapy units. This work aims 1) at assessing the accuracy of optical-flow-based motion tracking in liver cine-MRI sequences; and 2) at te...