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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