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Abstract #4450

An Information Theoretic Approach to Optimal Q-space Sampling

Hans Knutsson 1 and Carl-Fredrik Westin 2,3

1 Biomedical Engineering, CMIV, Linkping, stergtland, Sweden, 2 Harvard Medical School, MA, United States, 3 Linkping University, stergtland, Sweden

We present a novel approach to determine a local q-space metric that is optimal from an information theoretic perspective with respect to the expected signal statistics. The obtained metric will then serve as a guide for the generation of specific q-space sample distributions. It should be noted that the approach differs significantly from the classical estimation theory approach, e.g. one based on Cramer-Rao bounds. The basis for finding the q-space metric is to compute the information gain from measuring at a second q-space location given that we already have information from a first location.

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