Abstract #3244
Chemical shift optimized quantitative susceptibility mapping (csQSM)
Alexey V. Dimov 1,2 , Tian Liu 3 , Pascal Spincemaille 2 , Jacob S. Ecanow 4,5 , Huan Tan 6 , Robert R. Edelman 4,7 , and Yi Wang 1,2
1
Biomedical Engineering, Cornell University,
Ithaca, NY, United States,
2
Radiology,
Weill Cornell Medical College, New York, NY, United
States,
3
MedImageMetric LLC, New York, NY,
United States,
4
Radiology,
NorthShore University HealthSystem, Chicago, IL, United
States,
5
Radiology,
University of Chicago Pritzker School of Medicine,
Chicago, IL, United States,
6
Surgery
(Neurosurgery), University of Chicago, Chicago, IL,
United States,
7
Radiology, Northwestern
University Feinberg School of Medicine, Chicago, IL,
United States
Iterative decomposition of water and fat with echo
asymmetry and least squares estimation (IDEAL) method
can be used for estimation of the field distribution
within the tissue of interest, which then may be
processed for susceptibility estimation. However, errors
in the assumed model of chemical spectrum of fat will
propagate to the final susceptibility map as streaking
artifacts. In the current research we propose an
iterative algorithm that performs adjustment of the
chemical shift value based on detected inconsistencies
between estimated tissue structure and field map.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
