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Automated delineation of stroke lesions using brain CT images

Abstract:

Computed tomographic (CT) images are widely used for the identification of abnormal brain tissue following infarct and hemorrhage in stroke. Manual lesion delineation is currently the standard approach, but is both time-consuming and operator-dependent. To address these issues, we present a method that can automatically delineate infarct and hemorrhage in stroke CT images. The key elements of this method are the accurate normalization of CT images from stroke patients into template space and ...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's version

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Publisher copy:
10.1016/j.nicl.2014.03.009

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Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Oxford, MSD, Experimental Psychology
Role:
Author
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Funding agency for:
Gillebert, CR
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Funding agency for:
Humphreys, GW
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Funding agency for:
Mantini, D
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Funding agency for:
Mantini, D
Publisher:
Elsevier Inc.
Journal:
Neuroimage: Clinical Journal website
Volume:
4
Pages:
540-548
Publication date:
2014-03-24
DOI:
EISSN:
2213-1582
ISSN:
2213-1582
URN:
uuid:e9fce84a-64bf-4b11-a94a-dff91ab5b04b
Source identifiers:
458521
Local pid:
pubs:458521

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