Non-linear phase correction in model-based reconstruction of the diffusion tensor
Jose Raya 1,2 and Florian Knoll 1,2
Center for Advanced Imaging Innovation and
Research (CAI2R), NYU School of Medicine, New York, NY,
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.