Multi-scale voxel-based morphometry via weighted spherical harmonic representation

Moo K. Chung, Li Shen, Kim M. Dalton, Richard J. Davidson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Although the voxel-based morphometry (VBM) has been widely used in quantifying the amount of gray matter of the human brain, the optimal amount of registration that should be used in VBM has not been addressed. In this paper, we present a novel multi-scale VBM using the weighted spherical harmonic (SPHARM) representation to address the issue. The weighted-SPHARM provides the explicit smooth functional representation of a true unknown cortical boundary. Based on this new representation, the gray matter tissue density is constructed usiag the Euclidean distance map from a voxel to the estimated smooth cortical boundary. The methodology is applied in localizing abnormal cortical regions in a group of autistic subjects.

Original languageEnglish (US)
Title of host publicationMedical Imaging and Augmented Reality - Third International Workshop
PublisherSpringer Verlag
Pages36-43
Number of pages8
ISBN (Print)3540372202, 9783540372202
DOIs
StatePublished - Jan 1 2006
Externally publishedYes
Event3rd International Workshop on Medical Imaging and Augmented Reality - Shanghai, China
Duration: Aug 17 2006Aug 18 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4091 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Workshop on Medical Imaging and Augmented Reality
CountryChina
CityShanghai
Period8/17/068/18/06

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Chung, M. K., Shen, L., Dalton, K. M., & Davidson, R. J. (2006). Multi-scale voxel-based morphometry via weighted spherical harmonic representation. In Medical Imaging and Augmented Reality - Third International Workshop (pp. 36-43). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4091 LNCS). Springer Verlag. https://doi.org/10.1007/11812715_5