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Abstract #0160

Submillimeter dMRI protocol optimization for accurate in-vivo reconstruction of deep-brain circuitry

Chiara Maffei1, Fuyixue Wang1, Suzanne Haber2,3, and Anastasia Yendiki1
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 2Department of Pharmacology and Physiology, University of Rochester School of Medicine, Rochester, NY, United States, 3McLean Hospital, Belmont, MA, United States


The relatively low resolution of conventional in-vivo human dMRI prevents the reconstruction of small axonal bundles (diameter < 3mm). Here we show that diencephalic connections, which are inaccessible at macroscopic resolution (1.5mm), can be reconstructed with unprecedented accuracy at mesoscopic resolution (760μm). We investigate the minimum number of directions needed to achieve this with a state-of-the-art, multi-slab dMRI sequence. We find that a long, multi-session acquisition is necessary. We aim to develop a protocol for manual annotation of these bundles in a small number of high-quality datasets, and thus produce a training set for automated reconstruction in lower-quality dMRI data.

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