A dynamic brain atlas

D. L.G. Hill, J. V. Hajnal, D. Rueckert, S. M. Smith, T. Hartkens, K. McLeish

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

19 Zitate (Scopus)

Abstract

We describe a dynamic atlas that can be customized to an individual study subject in near-real-time. The atlas comprises 180 brain volumes each of which has been automatically segmented into grey matter, white matter and CSF, and also non-rigidly registered to the Montreal BrainWeb reference dataset providing automatic delineation of brain structures of interest. To create a dynamic atlas, the user loads a study dataset (eg: a patient) and queries the atlas database to identify similar subjects. All selected database subjects are then aligned with the study subject using affine registration, and average tissue probability maps and structure delineations produced. The system can run on distributed data and distributed CPUs illustrating the potential of computational grids in medical image analysis.

OriginalspracheEnglisch
TitelMedical Image Computing and Computer-Assisted Intervention - MICCAI 2002 - 5th International Conference, Proceedings
Redakteure/-innenTakeyoshi Dohi, Ron Kikinis
Herausgeber (Verlag)Springer Verlag
Seiten532-539
Seitenumfang8
ISBN (Print)9783540457862
DOIs
PublikationsstatusVeröffentlicht - 2002
Extern publiziertJa
Veranstaltung5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan
Dauer: 25 Sept. 200228 Sept. 2002

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band2488
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
Land/GebietJapan
OrtTokyo
Zeitraum25/09/0228/09/02

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