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Activity Number:
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201
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2007 : 2:00 PM to 3:50 PM
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Sponsor:
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ENAR
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| Abstract - #310304 |
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Title:
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Longitudinal Image Analysis of Change in Tumor/Brain Vascular Permeability Induced by Radiation
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Author(s):
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Xiaoxi Zhang*+ and Timothy D. Johnson and Roderick J. Little
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Companies:
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University of Michigan and University of Michigan and University of Michigan
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Address:
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1420 Washington Heights, Ann Arbor, MI, 48109,
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Keywords:
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Repeated Measures ; Image Analysis ; Markov Random Fields ; Reversible Jump Markov Chain Monte Carlo
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Abstract:
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It is known that the impotency of chemotherapy in curing brain cancer is largely due to the tight endothelia junction, which prohibits the passing of large chemotherapeutic molecules. It is hypothesized that the drug delivery of chemotherapy can be more efficient by differentially increasing vascular permeability in the tumor area relative to the normal brain through local radiation. In this work, we investigate the change in tumor/brain vascular permeability induced by radiation, which helps determining the optimal time of chemotherapy. The analysis is based on an edge preserving smoothing we developed earlier, under the assumption that we only observe a blurred and noisy observation of the "true" scene (i.e. the underlying vascular permeability) in an imperfect world. We model the "true" scene with a Markov Random Field and apply Reversible Jump Markov chain Monte Carlo algorithm.
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