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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