Activity Number:
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79
- Section on Statistics in Imaging A.M. Roundtable Discussion (Added Fee)
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Type:
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Roundtables
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Date/Time:
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Monday, August 8, 2022 : 7:00 AM to 8:15 AM
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Sponsor:
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Section on Statistics in Imaging
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Abstract #321030
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Title:
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Statistical Methods for Uncertainty Quantification and Information Extraction from Neuroimaging Data
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Author(s):
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Juna Goo* and Guanqun Cao and Chitrak Banerjee and LYUDMILA SAKHANENKO
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Companies:
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Boise State University and Auburn University and Wells Fargo N A and Michigan State University
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Keywords:
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Functional MRI;
Diffusion tensor imaging;
HARDI;
Tractography;
Brain Connectivity
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Abstract:
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Neuroimaging data is rich in information but notoriously has a lot of noise. We will focus on recent statistical methodologies for tractography and connectivity tests based on Diffusion tensor imaging data and on uncertainty quantification for Functional MRI data. These methods are important for the early diagnosis of brain disorders and diseases such as Alzheimer's disease. Optimal functional data classification, Minimax lower bound for High order tensor models, and Statistical tractography will all be discussed.
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Authors who are presenting talks have a * after their name.
