Shape modeling and analysis with entropy-based particle systems.

Shape modeling and analysis with entropy-based particle systems. Research Abstract Details 

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Shape modeling and analysis with entropy-based particle systems. Abstract Text:

Joshua Cates,P Thomas Fletcher,Martin Styner,Martha Shenton,Ross Whitaker,

This paper presents a new method for constructing compact statistical point-based models of ensembles of similar shapes that does not rely on any specific surface parameterization. The method requires very little preprocessing or parameter tuning, and is applicable to a wider range of problems than existing methods, including nonmanifold surfaces and objects of arbitrary topology. The proposed method is to construct a point-based sampling of the shape ensemble that simultaneously maximizes both the geometric accuracy and the statistical simplicity of the model. Surface point samples, which also define the shape-to-shape correspondences, are modeled as sets of dynamic particles that are constrained to lie on a set of implicit surfaces. Sample positions are optimized by gradient descent on an energy function that balances the negative entropy of the distribution on each shape with the positive entropy of the ensemble of shapes. We also extend the method with a curvature-adaptive sampling strategy in order to better approximate the geometry of the objects. This paper presents the formulation; several synthetic examples in two and three dimensions; and an application to the statistical shape analysis of the caudate and hippocampus brain structures from two clinical studies.

Shape modeling and analysis with entropy-based particle systems. Publishing Authors By Initials

J Cates,PT Fletcher,M Styner,M Shenton,R Whitaker,

For similar investigative techniques: epidemiologic methods: statistics as topic: sensitivity and specificity research abstracts see: investigative techniques: epidemiologic methods: statistics as topic: sensitivity and specificity research

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Shape modeling and analysis with entropy-based particle systems. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Information processing in medical imaging : procee

VOLUME: 20

Page Numbers: 333-45

Journal Abbreviation:

ISSN: 1011-2499

DAY: 3

MONTH: 12

YEAR: 2007

Shape modeling and analysis with entropy-based particle systems. Information

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LANGUAGE: eng

NlmUniqueID: 9216871

Shape modeling and analysis with entropy-based particle systems. Keywords Mesh Terms:

KEYWORDS: Sensitivity and Specificity

MESH TERMS: diagnosis

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Grant and Affiliation Information for Shape modeling and analysis with entropy-based particle systems.

AFFILIATION: School of Computing, University of Utah, Salt Lake City UT, USA.

Country: Germany

AGENCY: United States NIBIB

GRANT: U54 EB005149

ACRONYM: EB

MEDLINETA: Inf Process Med Imaging

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