Abstract #1664
Accelerated and motion-robust in vivo T 2 mapping from radially undersampled data using Bloch-simulation-based iterative reconstruction
Noam Ben-Eliezer 1,2 , Daniel K Sodickson 1,2 , Timothy M Shepherd 1,2 , Graham C Wiggins 1,2 , and Kai Tobias Block 1,2
1
Center for Biomedical Imaging, Department of
Radiology, New York University School of Medicine, 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 mapping of T
2
relaxation
values in vivo is highly challenging in clinical
settings. This work integrates two techniques:
(1)
a
recently-developed T
2
mapping
technique the echo-modulation curve (
EMC
)
algorithm which is immune to the T
2
bias
caused by indirect coherence pathways in multi spin-echo
protocols, and
(2)
non-linear
model-based reconstruction of radially sampled datasets
allowing to overcome undersampling-related aliasing
artifacts. The synergistic combination of the two
provides accelerated scanner- and parameter-invariant
quantification of T
2
relaxation,
and morphological proton-density information at
sub-millimeter spatial resolutions and reduced motion
sensitivity.
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