Image-driven, model-based 3D abdominal motion estimation for MR-guided radiotherapy

• Published in: Physics in medicine & biology Vol. 61; no. 14; pp. 5335 - 5355
• Main Authors: Stemkens, Bjorn, Tijssen, Rob H N, de Senneville, Baudouin Denis, Lagendijk, Jan J W, van den Berg, Cornelis A T
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 21.07.2016
• Subjects: 4D-MRI; Abdomen - diagnostic imaging; Engineering Sciences; Feasibility Studies; Healthy Volunteers; Humans; Image Processing, Computer-Assisted - methods; Kidney - diagnostic imaging; Magnetic Resonance Imaging - methods; Models, Biological; Motion; motion characterization; motion phantom; MR-guided radiotherapy; MRI guidance; Pancreas - diagnostic imaging; Phantoms, Imaging; Principal Component Analysis; radiotherapy; Radiotherapy Planning, Computer-Assisted - methods; Radiotherapy, Image-Guided - methods; Respiration; respiratory motion model; Retrospective Studies; Signal and Image processing

Respiratory motion introduces substantial uncertainties in abdominal radiotherapy for which traditionally large margins are used. The MR-Linac will open up the opportunity to acquire high resolution MR images just prior to radiation and during treatment. However, volumetric MRI time series are not a...