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-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Kubassova, O., Boesen, M., Boyle, R. D., Cimmino, M. A., Jensen, K. E., Bliddal, H., & Radjenovic, A. (2007). Fast and robust analysis of dynamic contrast enhanced MRI datasets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4792 LNCS, pp. 261–269). Springer Verlag. https://doi.org/10.1007/978-3-540-75759-7_32
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
