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Abstract #2889

Feasibility of In Vivo Dynamic Diffusion Tensor Imaging on a 3T clinical scanner with a Multi Echo Sequence and compressed sensing reconstruction

Steven Baete 1,2 , Jose Raya 2 , Florian Knoll 1,2 , Gene Young Cho 2,3 , Prodromos Parasoglou 1,2 , Ryan Brown 1,2 , Tobias Block 1,2 , Ricardo Otazo 1,2 , Jenny Bencardino 4 , and Eric Sigmund 1,2

1 Center for Advanced Imaging Innovation and Research (CAI2R), NYU School of Medicine, New York, NY, United States, 2 Center for Biomedical Imaging, Dept. of Radiology, NYU School of Medicine, New York, NY, United States, 3 Sackler Institute of Graduate Biomedical Sciences, NYU School of Medicine, New York, New York, United States, 4 Radiology, NYU School of Medicine, New York, NY, United States

The feasibility of dynamic diffusion tensor imaging is demonstrated both in a rotating gel phantom and in vivo using a novel Multiple Echo Diffusion Tensor Imaging (MEDITI) method. In MEDITI both diffusion and image encoding are compressed. Specifically, each of multiple echoes generated by five RF-pulses are encoded with different diffusion weighting using a highly efficient STAR k-space trajectory for each echo. Diffusion weighted images are reconstructed using a novel multidimensional compressed sensing approach. The resulting dynamic DTI can be used to study transient DTI changes, such as in skeletal muscle following exercise, where traditional DTI methods lack temporal resolution.

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