Kansas State University
Statistically Challenging Issues in Analyzing Brain Image Data
Imaging data has been emerged as an important and critical tool for clinical diagnosis on neurodegeneration in the brain. It is however known that lesion from mild Traumatic Brain Injury (mTBI), which causes microstructural change due to axonal injury in the white matter tissues in the brain, is not visible even with cutting-edge imaging techniques. While diffusion tensor imaging (DTI) has proven its discriminatory power between mTBI patients and normal healthy controls, lesion from mTBI is still invisible and can only be estimated by statistical analysis. My research has been focused on lesion detection algorithm and improvement of statistical analysis with brain DTI data. In this talk, we discuss statistically challenging issues to meet the needs in clinical science that include brain abnormality detection for a single patient and determination of degree of freedom with highly correlated brain imaging data.
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STATISTICS SEMINAR
Namhee Kim, Ph.D.
Albert Einstein College of Medicine
Thursday, April 14, 2016
Dickens Hall, Room 207, 4:00-5:00 pm
Refreshments: Dickens 108, 3:30-4:00 pm
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