MIAL

VIVARIUM Seminar: Cortical Thickness Analysis in Humans and Primates

October 21, 2008
Location: TASC 9204 West
Presenter: Martin Styner, PhD. Eng., ETH, Neuro Image Analysis Laboratory, UNC

Abstract

Measurements of cerebral topographical cortical properties such as thickness, surface area and curvature are of great interest for quantitative normal and clinical investigations of neural development and anatomic connectivity. In this talk, I will present first an overview of existing systems for the localized analysis of cortical  thickness, as well as our own development of an open-source framework within the NAMIC-toolkit (NAMIC = National Alliance for medical image computing). I will then highlight the cortical correspondence establishment component in our system, a group-wise particle system based method. This method is extensible and allows us to incorporate features other than cortical geometry such as white matter connectivity or vessel localization information. Finally I will present results from our current cortical thickness projects in human and non-human primate brain development.
 

Short Biography

Martin Styner is an assistant professor in the Department of Psychiatry with a joint appointment in the Department of Computer Science at the University of North Carolina at Chapel Hill (UNC). As Co-Director of both the UNC Neuro Image Research and Analysis Laboratories and the Developmental Neuroimaging Core at the UNC Neurodevelopmental Disorders Research Center, he oversees medical imaging research projects in the field of neurodevelopment. Dr. Styner began his research in the field of medical image analysis in 1994 as a graduate student at the Swiss Federal Institute of Technology ETH Zurich, Switzerland. He received his Masters in 1997 from ETH Zurich and subsequently his Ph.D. in 2001 from UNC. From 2001-2002, Dr. Styner held the position of project leader at the Duke Image Analysis Laboratory in Durham, NC. From 2002 to 2004, he founded and headed a thriving research group in Medical Image Analysis for 2 years at the M.E. Müller Research Center, University of Bern, Switzerland. In 2004, Dr. Styner joined the faculty at the University of North Carolina. He has participated in leading positions in several national and international projects with close interdisciplinary cooperation with researchers in the fields of medicine, engineering, industry and computer science. Dr. Styner has co-authored 26 papers in peer reviewed journals and 64 papers in peer reviewed conferences. He is on the editorial board of "Medical Image Analysis", the premier journal in the field of medical image analysis. His main field of expertise is in medical image processing and analysis. He has an extensive background in anatomical structure and tissue segmentation, structural brain morphometry, modeling, atlas building, diffusion tensor imaging, small animal and primate imaging, as well as intra and inter-modality registration.

 


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