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Abstract #1455

Automatic nonlinear transformation of 7T MRI brain image to Talairach stereotaxic space

Mingyi Li1, Jian Lin1, Katherine Koenig1, and Mark Lowe1

1Cleveland Clinic, Cleveland, OH, United States

Transforming MRI brain images into Talairach space will greatly facilitate the comparison of neuroimaging research results across subjects and applications of atlas to research subjects and clinical patients. We developed an automatic processing pipeline based on nonlinear registration to transform 7T MRI brain images to Talairach space. The pipeline utilized matching scores derived from brain parcellation for quality assurance (QA). The pipeline was tested on subjects including five controls, three MS patients and three ALS patients. The results showed that the method generated better results than the automatic Talairach transformation provided by AFNI. The QA scores were also comparable to those computed from 3T MRI brain images in our previous study.

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