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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