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Journal article

Accurate, robust, and automated longitudinal and cross-sectional brain change analysis.

Abstract:

Quantitative measurement of brain size, shape, and temporal change (for example, in order to estimate atrophy) is increasingly important in biomedical image analysis applications. New methods of structural analysis attempt to improve robustness, accuracy, and extent of automation. A fully automated method of longitudinal (temporal change) analysis, SIENA, was presented previously. In this paper, improvements to this method are described, and also an extension of SIENA to a new method for cros...

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Publication status:
Published

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Publisher copy:
10.1006/nimg.2002.1040

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Clinical Neurosciences
Role:
Author
Journal:
NeuroImage More from this journal
Volume:
17
Issue:
1
Pages:
479-489
Publication date:
2002-09-01
DOI:
EISSN:
1095-9572
ISSN:
1053-8119
Language:
English
Keywords:
Pubs id:
pubs:116643
UUID:
uuid:e764f021-775b-44ad-8e63-e3b8c115b875
Local pid:
pubs:116643
Source identifiers:
116643
Deposit date:
2012-12-19

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