Abstract Details
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Activity Number:
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588
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Type:
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Topic Contributed
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Date/Time:
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Thursday, August 7, 2014 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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Abstract #313419
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View Presentation
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Title:
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Challenges in Statistical Analysis of High-Dimensional Brain Imaging Data
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Author(s):
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Ani Eloyan*+
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Companies:
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Johns Hopkins University
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Keywords:
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computed tomography ;
brain imaging
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Abstract:
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Statistical analysis of medical imaging data including magnetic resonance imaging (MRI), computed tomography (CT), etc. highly depends on the quality of the collected data. Even though each imaging modality presents it's own set of data contamination sources, there are general issues that appear consistently in most studies. These include the effects of movement in the scanner, systematic noise, alignment of images to a common template and normalization of intensities to a common scale. In this talk, some of the issues in statistical analysis of high dimensional medical imaging data are discussed, along with methods for improving the results for disease exploration.
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Authors who are presenting talks have a * after their name.
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