Shape-based normalization of the corpus callosum for DTI connectivity analysis.

Shape-based normalization of the corpus callosum for DTI connectivity analysis. Research Abstract Details 

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Shape-based normalization of the corpus callosum for DTI connectivity analysis. Abstract Text:

Hui Sun,Paul A Yushkevich,Hui Zhang,Philip A Cook,Jeffrey T Duda,Tony J Simon,James C Gee,

The continuous medial representation (cm-rep) is an approach that makes it possible to model, normalize, and analyze anatomical structures on the basis of medial geometry. Having recently presented a partial differential equation (PDE)-based approach for 3-D cm-rep modeling [1], here we present an equivalent 2-D approach that involves solving an ordinary differential equation. This paper derives a closed form solution of this equation and shows how Pythagorean hodograph curves can be used to express the solution as a piecewise polynomial function, allowing efficient and robust medial modeling. The utility of the approach in medical image analysis is demonstrated by applying it to the problem of shape-based normalization of the midsagittal section of the corpus callosum. Using diffusion tensor tractography, we show that shape-based normalization aligns subregions of the corpus callosum, defined by connectivity, more accurately than normalization based on volumetric registration. Furthermore, shape-based normalization helps increase the statistical power of group analysis in an experiment where features derived from diffusion tensor tractography are compared between two cohorts. These results suggest that cm-rep is an appropriate tool for normalizing the corpus callosum in white matter studies.

Shape-based normalization of the corpus callosum for DTI connectivity analysis. Publishing Authors By Initials

H Sun,PA Yushkevich,H Zhang,PA Cook,JT Duda,TJ Simon,JC Gee,

For similar diagnosis: diagnostic techniques and procedures: diagnostic imaging: subtraction technique research abstracts see: diagnosis: diagnostic techniques and procedures: diagnostic imaging: subtraction technique research

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Shape-based normalization of the corpus callosum for DTI connectivity analysis. Journal Published:

PUBLICATION TYPE: Research Support, N.I.H., Extr

Journal: IEEE transactions on medical imaging

VOLUME: 26

Page Numbers: 1166-78

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ISSN: 0278-0062

DAY: 3

MONTH: Sep

YEAR: 2007

Shape-based normalization of the corpus callosum for DTI connectivity analysis. Information

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LANGUAGE: eng

NlmUniqueID: 8310780

Shape-based normalization of the corpus callosum for DTI connectivity analysis. Keywords Mesh Terms:

KEYWORDS: Subtraction Technique

MESH TERMS: methods

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Grant and Affiliation Information for Shape-based normalization of the corpus callosum for DTI connectivity analysis.

AFFILIATION: Penn Image Computing and Science Laboratory, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA . sunhui@seas.upenn.edu

Country: United States

AGENCY: United States NINDS

GRANT: NS045839

ACRONYM: NS

MEDLINETA: IEEE Trans Med Imaging

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