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

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.