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Abstract #2606

Q-space signal reconstruction from sparse samples

Yogesh Rathi 1 , Oleg Michailovich 2 , Frederik Laun 3 , and Carl-Fredrik Westin 4

1 Psychiatry, Harvard Medical School, Boston, MA, United States, 2 University of Waterloo, Ontario, Canada, 3 German Cancer Research Center, Germany, Germany, 4 Harvard Medical School, MA, United States

We propose a novel method for reconstructing the diffusion signal in the q-space from very sparsely sampled data spread in over multiple b-values. Our preliminary results on a physical phantom shows that at-least 60 measurements are needed for good reconstruction quality of the data.

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