Abstract #1562
Patch based low rank constrained reconstruction for diffusion MRI
Ganesh Adluru 1 , Yaniv Gur 2 , Jeffrey Anderson 1 , and Edward V.R. DiBella 1
1
Radiology, University of Utah, Salt lake
city, Utah, United States,
2
SCI
Institute, University of Utah, Salt lake city, Utah,
United States
Standard diffusion imaging is limited when evaluating
regions with crossing fibers. Higher order diffusion
acquisitions with multiple b-values and multiple
diffusion directions can reveal crossing fiber
information; however it takes a long time to acquire
such data. Acceleration techniques including compressed
sensing can be applied to reduce the readout time by
undersampling k-space and using constraints that exploit
redundancies to remove the undersampling artifacts. Here
we test a patch-based low rank constraint that exploits
redundancies in terms of patches across diffusion
directions for undersampled diffusion data. Promising
results are presented in a multi-shell acquisition in a
stroke patient.
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