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Abstract #4711

Model-Based Automatic Detection of the Anterior and Posterior Commissures on MRI Scans

Babak A. Ardekani1,2, Alvin H. Bachman1,3

1Center for Advanced Brain Imaging, The Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA; 2Department of Psychiatry, New York University School of Medicine, New York, USA; 3Emeritus Professor, City College of CUNY, New York, USA

A model-based fully automatic algorithm is presented for detection of the anterior and posterior commissures (AC/PC) on 3D MRI scans. The algorithm has several advantages over previously published methods for solving this problem. It is fast, accurate, and robust in the presence of image artifacts. It does not rely on any specific image contrast or location of the corpus callosum. It is flexible in its definition of these landmarks (e.g., center versus edge of the AC/PC cross-section with the mid-sagittal plane). It relies on a relatively small number of parameters whose default values rarely need to be changed.