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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.

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