Fast and robust analysis of dynamic contrast enhanced MRI datasets

O Kubassova, M Boesen, RD Boyle… - … Image Computing and …, 2007 - Springer
O Kubassova, M Boesen, RD Boyle, MA Cimmino, KE Jensen, H Bliddal, A Radjenovic
Medical Image Computing and Computer-Assisted Intervention–MICCAI 2007: 10th …, 2007Springer
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 …
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.
Springer
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