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 cross-sectional (single time point) analysis. The methods are fully automated, robust, and accurate: 0.15% brain volume change error (longitudinal): 0.5-1% brain volume accuracy for single-time point (cross-sectional). A particular advantage is the relative insensitivity to differences in scanning parameters. The methods provide easy manual review of their output by the automatic production of summary images which show the results of the brain extraction, registration, tissue segmentation, and final atrophy estimation.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Smith SM,Zhang Y,Jenkinson M,Chen J,Matthews PM,Federico A,De Stefano Ndoi
10.1006/nimg.2002.1040keywords:
subject
Has Abstractpub_date
2002-09-01 00:00:00pages
479-89issue
1eissn
1053-8119issn
1095-9572pii
S1053811902910402journal_volume
17pub_type
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