Motion-compensation of cardiac perfusion MRI using a statistical texture ensemble

Authors:
Mikkel B. Stegmann;Henrik B. W. Larsson
Affiliations:
Informatics and Mathematical Modelling, Technical University of Denmark, Lyngby, Denmark and Danish Research Centre for Magnetic Resonance, H:S Hvidovre Hospital, Hvidovre, Denmark;Danish Research Centre for Magnetic Resonance, H:S Hvidovre Hospital, Hvidovre, Denmark and MR-Senteret, St. Olavs Hospital, Trondheim University, Trondheim, Norway
Venue:
FIMH'03 Proceedings of the 2nd international conference on Functional imaging and modeling of the heart
Year:
2003

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Abstract

This paper presents a novel method for segmentation of cardiac perfusion MRI. By performing complex analyses of variance and clustering in an annotated training set off-line, the presented method provides real-time segmentation in an on-line setting. This renders the method feasible for e.g. analysis of large image databases or for live non rigid motion-compensation in modern MR scanners. Changes in image intensity during the bolus passage is modelled by an Active Appearance Model augmented with a cluster analysis of the training set and priors on pose and shape. Preliminary validation of the method is carried out using 250 MR perfusion images, acquired without breath-hold from five subjects. Quantitative and qualitative results show high accuracy, given the limited number of subjects.