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Titolo:
Atlas-assisted localization analysis of functional images
Autore:
Nowinski, WL; Thirunavuukarasuu, A;
Indirizzi:
Kent Ridge Digital Labs, Biomed Lab, Singapore 119613, Singapore Kent Ridge Digital Labs Singapore Singapore 119613 ore 119613, Singapore
Titolo Testata:
MEDICAL IMAGE ANALYSIS
fascicolo: 3, volume: 5, anno: 2001,
pagine: 207 - 220
SICI:
1361-8415(200109)5:3<207:ALAOFI>2.0.ZU;2-8
Fonte:
ISI
Lingua:
ENG
Soggetto:
BRAIN IMAGES; REGISTRATION; TRANSFORMATION; SEGMENTATION; NEUROSURGERY; SOFTWARE; SPACE; MODEL;
Keywords:
function/location analysis; Talairach-Tournoux atlas; Talairach transformation; brain atlas; human brain mapping; functional neuroimaging;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
70
Recensione:
Indirizzi per estratti:
Indirizzo: Nowinski, WL Kent Ridge Digital Labs, Biomed Lab, 21 Heng Mui Keng Terrace, Singapore 119613, Singapore Kent Ridge Digital Labs 21 Heng Mui Keng Terrace Singapore Singapore 119613
Citazione:
W.L. Nowinski e A. Thirunavuukarasuu, "Atlas-assisted localization analysis of functional images", MED IMAGE A, 5(3), 2001, pp. 207-220

Abstract

Objective: This paper introduces a method for localization analysis of functional images assisted by a brain atlas, The usefulness of the system developed, based on this method, is analyzed for human brain mapping and neuroradiology, Materials and methods: We use an enhanced and extended electronicTalairach-Tournoux brain atlas. containing segmented and labeled subcortical structures, Brodmann's areas, and gyri. The brain atlas serves as a toolfor anatomy referencing, segmentation, labeling, registration, and providing 3D anatomical relationships. The process of localization analysis is decomposed into five steps: data loading, feature extraction, data normalization, identification and editing of loci, and getting labels and values. Thisanalysis is supported by near real-time data-to-atlas warping based on theTalairach transformation. Metanalysis is enabled by merging the current and external lists of activation loci. Results: We have designed, developed, tested, and deployed a commercial system for atlas-assisted localization analysis of functional images. This is the first system where an electronic version of the Talairach-Tournoux brain atlas is used interactively for analysis of functional images. This system runs on personal computers and provides functions for a rapid normalization of anatomical and functional volumetric data, data segmentation and labeling, readout of Talairach coordinates, and data display. It also is empowered with several unique features including: interactive warping facilitating fine tuning of the data-to-atlas fit, a backtracking mechanism to compensate for missing landmarks and enhancing the outcome of the overall process of data analysis, navigation on the triplanar formed by the data and the atlas, multiple - images-in-one display with atlas-anatomy-function blending, a fast locus-controlled generation ofresults, editing of loci, multiple label display, and saving and reading of loci. The system normalizes a single image in near real-time (0.7 s), so analysis of anatomical and functional datasets can be done on-the-fly regardless of the number of slices. The same task performed by the state-of-the-art non-linear registration methods may require up to several days. Conclusions: The system is a useful tool for atlas-assisted localization analysis and a helpful adjunct to function/location metanalysis in human brain mapping research. It is also a step forward in bringing the atlas and the clinical data together within a practical and powerful solution that is fast and flexible, yet low-cost and affordable. (C) 2001 Elsevier Science B.V. All rights reserved.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 26/02/20 alle ore 06:09:08