Detecting disease-specific patterns of brain structure using cortical pattern matching and a population-based probabilistic brain atlas

Paul M. Thompson, Michael S. Mega, Christine Vidal, Judith L. Rapoport, Arthur W. Toga

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

61 Scopus citations

Abstract

The rapid creation of comprehensive brain image databases mandates the development of mathematical algorithms to uncover diseasespecific patterns of brain structure and function in human populations. We describe our construction of probabilistic atlases that store detailed information on how the brain varies across age and gender, across time, in health and disease, and in large human populations. Specifically, we introduce a mathematical framework based on covariant partial differential equations (PDEs), pull-backs of mappings under harmonic flows, and high-dimensional random tensor fields to encode variations in cortical patterning, asymmetry and tissue distribution in a population-based brain image database (N=94 scans). We use this information to detect disease-specific abnormalities in Alzheimer’s disease and schizophrenia, including dynamic changes over time. Illustrative examples are chosen to show how group patterns of cortical organization, asymmetry, and disease-specific trends can be resolved that are not apparent in individual brain images. Finally, we create four-dimensional (4D) maps that store probabilistic information on the dynamics of brain change in development and disease. Digital atlases that generate these maps show considerable promise in identifying general patterns of structural and functional variation in diseased populations, and revealing how these features depend on demographic, genetic, clinical and therapeutic parameters.

Original languageEnglish
Title of host publicationInformation Processing in Medical Imaging - 17th International Conference, IPMI 2001, Proceedings
EditorsMichael F. Insana, Richard M. Leahy
PublisherSpringer Verlag
Pages488-501
Number of pages14
ISBN (Electronic)3540422455, 9783540422457
DOIs
StatePublished - 2001
Externally publishedYes
Event17th International Conference on Information Processing in Medical Imaging, IPMI 2001 - Davis, United States
Duration: 18 Jun 200122 Jun 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2082
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Information Processing in Medical Imaging, IPMI 2001
Country/TerritoryUnited States
CityDavis
Period18/06/0122/06/01

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