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Abstract #1778

Compressed Sensing to Accelerate Connectomic Histology in the Mouse Brain

Nian Wang1, Gary Cofer1, Robert J. Anderson1, Russell Dibb1, Yi Qi1, Alexandra Badea1, and G. Allan Johnson1

1Center for In Vivo Microscopy, Department of Radiology, Duke University, Durham, NC, United States

We evaluated the utility of compressed sensing (CS) for diffusion tensor (connectomic) histology in the mouse brain at high field (9.4T). We explored the effect of b values, compression factors, and k-space sampling strategies. We were able to achieve compression factors of 4X through judicious choice of k-space sampling patterns. Comparison to a comprehensively acquired data set (full sampling at 43 μm with 120 angles) allowed us to reduce the acquisition time by nearly 30X with minimal loss in the resulting connectome.

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