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Abstract #4524

Robust Automated Tractography of the Brain using Diffusion Spectrum Imaging

Ek T Tan 1 , Xiaofeng Liu 1 , Aziz M Ulug 2 , Peter B Kingsley 3 , Anil K Malhotra 2,3 , Delbert G Robinson 2,3 , Philip R Szeszko 2,3 , and Luca Marinelli 1

1 GE Global Research, Niskayuna, NY, United States, 2 Feinstein Institute for Medical Research, Manhasset, NY, United States, 3 North Shore-LIJ Health System, Manhasset, NY, United States

Brain tractography is a manually-intensive and operator-dependent task, requires anatomical knowledge, and is inaccurate in regions containing crossing-fibers. We propose a robust, automated seeding method that performs image registration (1) to a predefined seeding template, and (2) multi-fiber tractography using compressed-sensing-accelerated diffusion spectrum imaging (CS-DSI). Because the method uses simple spherical ROIs, seeds can be easily adjusted on a manual basis to optimize tract identification. The automated algorithm was evaluated on CS-DSI data acquired in six healthy volunteers and seven patients with schizophrenia. The proposed method simplifies tractography workflow, and may provide improved reproducibility in studies utilizing diffusion tractography.

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