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Abstract #4364

Identification of quantitative differences in normal-appearing white matter of multiple sclerotic patients vs. healthy controls using a novel Bloch-simulation-based T 2 mapping technique

Noam Ben-Eliezer 1,2 , Veronica Cosi 1 , Akio Yoshimoto 1 , Daniel K Sodickson 1,2 , Mary Bruno 1 , Kai Tobias Block 1,2 , and Timothy M Shepherd 1,2

1 Center for Biomedical Imaging, Department of Radiology, New York University Medical Center, New York, NY, United States, 2 Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States

Accurate quantification of T 2 values in vivo is a long-standing challenge hampered by the inherent inaccuracy of rapid multi-SE sequences. This bias is, moreover, inconsistent and dependent on the pulse sequence scheme and parameter-set employed, and hence changes between scanners or vendors. We employ a recently-developed T 2 mapping technique the echo-modulation curve ( EMC ) algorithm to quantitatively classify brain tissues in MS patients. Preliminary results suggest that the high accuracy and stability afforded by the EMC approach allows to uncover statistically significant differences which would otherwise be buried beneath the inherent scanner- or protocol-dependent variability of traditional T 2 mapping approaches.

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