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Abstract #0951

Evaluation of Three Automated Methods of Identifying the Hippocampus on T1 Weighted Images

Jian Lin1, Mingyi Li1, Katherine A. Koenig1, Mark J. Lowe1, Micheal Phillips1

1Radiology, Cleveland Clinic, Cleveland, OH, United States

In the abstract, we compare the two most popular and full automated methods of identifying hippocampus from T1 weighted whole-brain images (T1W), FSL/first and FreeSurfer, to a third candidate, a template registration method developed by our group based on Advanced Normalizaiton Tools and symmetric image normalization method(ANTS/SyN). After quantative matching analysis and qualitative visual inspection, we conclude that the ANTS method produced ROIs that are closest to the hand traced hippocampal.