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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