Abstract #0081
Non-linear phase correction in model-based reconstruction of the diffusion tensor
Jose Raya 1,2 and Florian Knoll 1,2
1
Center for Advanced Imaging Innovation and
Research (CAI2R), NYU School of Medicine, New York, NY,
United States,
2
Bernard
and Irene Schwartz Center for Biomedical Imaging,
Department of Radiology, NYU School of Medicine, New
York, NY, United States
In this work we investigate the value of a non-linear
phase correction algorithm for model-based
reconstruction of diffusion tensor images measured with
non-Cartesian multi-shot diffusion-weighted sequences.
The approach is used on data acquired with a
diffusion-weighted radial spin echo sequence that
acquires 2D navigators after each readout. We acquire
data for the brain and the knee with resolutions of 1
and 0,7 mm2 respectively. Data reconstructed without
phase correction showed systematic deviation of the MD
and FA. In summary the use of non-linear phase
correction is essential in iterative reconstruction of
diffusion data acquired with multishot sequences.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
