An intensity consistent approach to the cross sectional analysis of deformation tensor derived maps of brain shape

C. Studholme, V. Cardenas, A. Maudsley, M. Weiner

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

2 Scopus citations

Abstract

This paper describes a novel approach to the spatial filtering of deformation tensor derived maps of shape difference and shape change estimated in multi-subject studies of spatially normalised brain anatomy. We propose a spatial shape filter that combines tensor values locally which fall within regions of similar underlying intensity and therefore tissue. The filter additionally incorporates information derived from the spatial normalisation process to focus filtering more strongly within specific MRI intensities in regions where tissue intensities have been most consistently aligned in the spatial normalisation process. This is achieved using a statistical framework to introduce a measure of uncertainty of regional intensity correspondence. Results comparing the approach to conventional Gaussian filtering in the analysis of tensor derived measures of brain shape change in Alzheimer’s disease and normal aging indicate significantly improved delineation of local atrophy patterns, particularly in cortical gray matter, without the need for explicit tissue segmentation.

Original languageEnglish (US)
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2002 - 5th International Conference, Proceedings
EditorsTakeyoshi Dohi, Ron Kikinis
PublisherSpringer Verlag
Pages492-499
Number of pages8
ISBN (Print)9783540457862
DOIs
StatePublished - Jan 1 2002
Externally publishedYes
Event5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan
Duration: Sep 25 2002Sep 28 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2488
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
CountryJapan
CityTokyo
Period9/25/029/28/02

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Studholme, C., Cardenas, V., Maudsley, A., & Weiner, M. (2002). An intensity consistent approach to the cross sectional analysis of deformation tensor derived maps of brain shape. In T. Dohi, & R. Kikinis (Eds.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002 - 5th International Conference, Proceedings (pp. 492-499). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2488). Springer Verlag. https://doi.org/10.1007/3-540-45786-0_61