Fast and robust analysis of dynamic contrast enhanced MRI datasets

Authors:
Olga Kubassova;Mikael Boesen;Roger D. Boyle;Marco A. Cimmino;Karl E. Jensen;Henning Bliddal;Alexandra Radjenovic
Affiliations:
School of Computing, University of Leeds, UK;The Parker Institute Frederiksberg Hospital, Frederiksberg, Denmark;School of Computing, University of Leeds, UK;University of Genoa, Genoa, Italy;Rigshospitalet, Department of Radiology, MRI division, Copenhagen, Denmark;The Parker Institute Frederiksberg Hospital, Frederiksberg, Denmark;Academic Unit of Medical Physics, University of Leeds, Leeds General Infirmary, Leeds, UK
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Year:
2007

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Abstract

A fully automated method for quantitative analysis of dynamic contrast-enhanced MRI data acquired with low and high field scanners, using spin echo and gradient echo sequences, depicting various joints is presented. The method incorporates efficient pre-processing techniques and a robust algorithm for quantitative assessment of dynamic signal intensity vs. time curves. It provides differentiated information to the reader regarding areas with the most active perfusion and permits depiction of different disease activity in separate compartments of a joint. Additionally, it provides information on the speed of contrast agent uptake by various tissues. The method delivers objective and easily reproducible results, which have been favourably viewed by a number of medical experts.