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Fast Registration of Cardiac Perfusion MRI

M. B. Stegmann, H. B. Larsson Informatics and Mathematical Modelling IMM, Technical University of Denmark DTU, Kgs. Lyngby, Denmark, Danish Research Centre for Magnetic Resonance, Hvidovre Hospital, Copenhagen University Hospital, Hvidovre, Denmark Synopsis This abstract presents a novel method for registration of cardiac perfusion MRI sequences. By performing complex analyses of variance and clustering in an annotated training set off-line, our method provides real-time segmentation in an on-line setting. This renders the method feasible for live motion-compensation in MR scanners. Changes in image intensity during the bolus passage are modelled by an Active Appearance Model augmented with a cluster analysis of the training set. Preliminary validation carried out using five subjects showed acceptable segmentation accuracy produced very rapidly (below 40 ms per image).