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Activity Number:
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356
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 4, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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| Abstract - #303629 |
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Title:
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Statistical Curve and Tube Fitting for Diffusion Tensor Imaging Tractography
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Author(s):
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Brian S. Caffo*+ and Ciprian M. Crainiceanu and Arthur J. Goldsmith and Daniel Reich
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Companies:
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Johns Hopkins Bloomberg School of Public Health and Johns Hopkins University and Johns Hopkins Bloomberg School of Public Health and Johns Hopkins University
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Address:
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615 N Wolfe Street , Baltimore, MD, 21205,
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Keywords:
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imaging ; DTI ; curve fitting ; principal curves ; tube fitting ; non-parametrics
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Abstract:
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We consider the analysis of diffusion tensor imaging (DTI) tractography output. DTI is a relatively recent imaging technique, primarily used to study central nervous system white matter structures. DTI images are obtained by imaging water diffusion along several gradients. Estimates of white matter tracts can be constructed under the physiologic assumption that water diffusion is anisotropic along white matter bundles, a process called tractography. In this talk we discuss analysis of the output of tractography algorithms for clinical diagnosis and symptom prediction for multiple sclerosis patients. We discuss a novel curve and tube fitting methods to estimate tract width, a proxy for loss of axons and myelin, the layer of fatty protein that sheaths axons. We focus on the well defined corticospinal and optic radiation tracts and illustrate the benefits of the proposed methodology.
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