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Abstract #3022

Automated Voxel Placement: A Linux-based Suite of Tools for Accurate and Reliable Single Voxel Coregistration

Eric Andrew Woodcock1, Muzamil Arshad1, Dalal Khatib1, and Jeffrey A Stanley1

1Psychiatry and Behavioral Neurosciences, Wayne State University School of Medicine, Detroit, MI, United States

Single-voxel magnetic resonance spectroscopy (MRS) provides quantification of brain metabolite levels in vivo. However, MRS studies suffer from an often overlooked source of error variance: inconsistent voxel placement. It is well-established that metabolite levels vary by brain region and voxel tissue composition. Thus, inconsistent voxel placement increases likelihood of Type I and II errors. To address this problem, we developed and evaluated a novel and automated method of prescribing voxel placements at the time of scanning. Results demonstrated a significant improvement in prescribing accurate and reliable voxel placements between and within subjects compared to manual placement and published methods.

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