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Titolo:
Probabilistic approaches for atlasing normal and disease-specific brain variability
Autore:
Toga, AW; Thompson, PM; Mega, MS; Narr, KL; Blanton, RE;
Indirizzi:
Univ Calif Los Angeles, Sch Med, Reed Neurol Res Ctr, Lab Neuro Imaging,Dept Neurol, Los Angeles, CA 90095 USA Univ Calif Los Angeles Los Angeles CAUSA 90095 Los Angeles, CA 90095 USA Univ Calif Los Angeles, Sch Med, Dept Neurol, Alzheimers Dis Ctr, Los Angeles, CA 90024 USA Univ Calif Los Angeles Los Angeles CA USA 90024 Los Angeles, CA 90024 USA
Titolo Testata:
ANATOMY AND EMBRYOLOGY
fascicolo: 4, volume: 204, anno: 2001,
pagine: 267 - 282
SICI:
0340-2061(200110)204:4<267:PAFANA>2.0.ZU;2-Q
Fonte:
ISI
Lingua:
ENG
Soggetto:
ALZHEIMERS-DISEASE; NEUROANATOMICAL ATLAS; EMISSION TOMOGRAPHY; CORPUS-CALLOSUM; PET IMAGES; SCHIZOPHRENIA; REGISTRATION; LOCALIZATION; METABOLISM; SURFACE;
Keywords:
brain imaging; probabilistic brain atlases; normal and disease-specific brain variability;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
125
Recensione:
Indirizzi per estratti:
Indirizzo: Toga, AW Univ Calif Los Angeles, Sch Med, Reed Neurol Res Ctr, Lab Neuro Imaging,Dept Neurol, 710 Westwood Plaza, Los Angeles, CA 90095 USA Univ Calif Los Angeles 710 Westwood Plaza Los Angeles CA USA 90095
Citazione:
A.W. Toga et al., "Probabilistic approaches for atlasing normal and disease-specific brain variability", ANAT EMBRYO, 204(4), 2001, pp. 267-282

Abstract

The extreme variability in the structural conformation of the human brain poses significant challenges for the creation of population-based atlases. The ability to statistically and visually compare and contrast brain image data from multiple individuals is essential to understanding normal variability within a particular population as well as differentiating normal from diseased populations. This paper introduces the application of probabilistic atlases that describe specific subpopulations, measures their variabilityand characterizes the structural differences between them. Utilizing data from structural MRI, we have built atlases with defined coordinate systems creating a framework for mapping data from functional, histological and other studies of the same population. This paper describes the basic approach and a brief description of the underlying mathematical constructs that enable the calculation of probabilistic atlases and examples of their results from several different normal and diseased populations.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 15/07/20 alle ore 19:29:13