Automatic analysis of normal brain dissymmetry of males and females in MR images

S Prima*, JP Thirion, G Subsol, N Roberts

*Corresponding author for this work

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

Abstract

In this paper, we present a statistical analysis of the normal dissymmetry in brain MR images. Our method consists in: computing a dense 3D field characterizing the dissymmetry of a subject, analysing it with an operator (relative volume variation), computing 3D statistical maps from populations of subjects (learning series) and extracting interesting regions. The results are then tested on an independent validation series. We use a database of 36 normal young subjects, 18 males and 18 females, strongly right-handed. We show that the brain hemispheres can be reliably discriminated thanks to a consistent size difference in the white matter of the temporal and frontal lobes, with a very high level of confidence (36/36, alpha-value=0.000001). We also exhibit a difference of brain dissymmetry with respect to sex.

Original languageEnglish
Title of host publicationMEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI'98
EditorsWM Wells, A Colchester, S Delp
Place of PublicationBERLIN
PublisherSpringer-Verlag Berlin Heidelberg
Pages770-779
Number of pages10
ISBN (Print)3-540-65136-5
Publication statusPublished - 1998
Event1st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 98) - CAMBRIDGE, Morocco
Duration: 11 Oct 199813 Oct 1998

Publication series

NameLECTURE NOTES IN COMPUTER SCIENCE
PublisherSPRINGER-VERLAG BERLIN
Volume1496
ISSN (Print)0302-9743

Conference

Conference1st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 98)
Country/TerritoryMorocco
Period11/10/9813/10/98

Keywords

  • ASYMMETRY

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