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Abstract #1079

Analysis of Signal-Adaptive K-Space Acquisition Schemes in Quantitative Dynamic Contrast-Enhanced MRI

Ina Nora Kompan1,2, Claudia Prieto3, Benjamin Richard Knowles4, Hendrik Laue1, Geoff Charles-Edwards3, Matthias Guenther1,2, Tobias Schaeffter3

1Fraunhofer MEVIS-Institute for Medical Image Computing, Bremen, Germany; 2Faculty of Physics & Electronics, University of Bremen, Bremen, Germany; 3Division of Imaging Sciences, Kings's College London, St. Thomas' Hospital, London, United Kingdom; 4Cardiovascular Division, Beth Israel Deaconess Medical Center, Harvard School of Medicine, Boston, MA, United States


For quantitative evaluation of dynamic contrast-enhanced MRI data, high temporal resolution is required, however high spatial resolution is needed to depict variations within a lesion. To cover both requirements, signal-adaptive schemes were investigated, which acquire images with high temporal resolution during uptake of contrast agent and high spatial resolution during washout. These schemes were tested using a numerical phantom. During uptake, different schemes were employed to speed up imaging. It could be shown that signal-adaptive schemes improve the standard deviation of the results, but produce systematic errors. The best result could be attained using a modified version of TRICKS.

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