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Abstract #1346

Efficient MTsat mapping using sparse MP2RAGE for T1 and M0 measurement with B1+ inhomogeneity correction

Christopher D Rowley1,2, Ilana R. Leppert1, Jennifer S.W. Campbell1, Mark C. Nelson1, G Bruce Pike3, and Christine L Tardif1,2,4
1McConnell Brain Imaging Centre, McGill University, Montreal, QC, Canada, 2Neurology and Neurosurgery, McGill University, Montreal, QC, Canada, 3Hotchkiss Brain Institute and Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, AB, Canada, 4Biomedical Engineering, McGill University, Montreal, QC, Canada


In this study we investigate the use of MP2RAGE derived M0 and T1 maps for use in MTsat imaging. These values are compared against maps calculated from the traditional VFA approach. Additionally, the MP2RAGE approach is evaluated with and without sparse sampling and compressed sensing reconstruction. We show that VFA produces elevated T1 values, and consequently lower MTsat compared to MP2RAGE approaches. A model-based ΔB1+ correction was able to remove the dependence of MTsat on ΔB1+. The sparse MP2RAGE provided high quality maps, leading to a full MTsat protocol that was 32% faster than the traditional approach.

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