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Tutorial 4: Medical Image Analysis

Title: Medical Image Analysis

Presenter: Jun-dong Liu, Ohio University

Abstract: Magnetic resonance imaging (MRI) is a rich source of information regarding the soft tissue anatomy of human brains. Measuring the volumetric and morphological changes of brain structures in MR images has been a common practice in diagnosing and studying various neurodegenerative diseases. In this tutorial, we will present the basis of MRI data analysis as well as some advanced concepts regarding group shape analysis for disease diagnosis and classification. Talks will be divided into 1) the theoretical aspects of MR image analysis; 2) different neuroimaging toolboxes and 3) a practical illustration on how to use Statistical Parametric Mapping (SPM), FMRIB Software Library (FSL) and Deformation-based Morphometry (DBM).

Biographical Sketch of Presenter:
Jun-dong Liu is an assistant professor in the School of Electrical Engineering and Computer Science at Ohio University. He received his Ph.D. in Computer Science from the University of Florida in 2002. His research interests include medical image analysis, computer graphics, and computational geometry.

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