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Activity Number: 150 - Recent Advances for Modeling Neuroimaging Data
Type: Topic Contributed
Date/Time: Monday, July 31, 2017 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Imaging
Abstract #323772
Title: Segmentation of Longitudinal Images Using Total Variation Regulation
Author(s): Yuan Wang*
Companies: Washington State University
Keywords: CT Perfusion ; Total Variation ; Longitudinal image

Perfusion computed tomography (CTp) is an emerging functional imaging modality that uses physiological models to quantify characteristics pertaining to the passage of fluid through blood vessels. Perfusion characteristics provide physiological correlates for neovascularization induced by tumor angiogenesis. Thus CTp offers promise as a non-invasive quantitative functional imaging tool for cancer detection, prognostication, and treatment monitoring. In this paper, we develop a probabilistic framework for simultaneous supervised classification of multivariate correlated pixels using the total variation over time. The classification approach is applied to discriminate between regions of liver that contain pathologically verified metastases from

Authors who are presenting talks have a * after their name.

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