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The hidden-Markov brain comparison and inference of white matter hyperintensities on magnetic resonance imaging (MRI)
Bioinformatics Research Group, School of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia.ORCID iD: 0000-0002-4255-5130
Pisa University, Via Caruso, 14-56122 Pisa, Italy.
University of New South Wales, Canberra, ACT 2600, Australia.
Pisa University, Via Caruso, 14-56122 Pisa, Italy.
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2011 (English)In: Journal of Neural Engineering, ISSN 1741-2560, E-ISSN 1741-2552, Vol. 8, no 1, 1-10 p.Article in journal (Refereed) PublishedText
Abstract [en]

Rating and quantification of cerebral white matter hyperintensities on magnetic resonance imaging (MRI) are important tasks in various clinical and scientific settings. As manual evaluation is time consuming and imprecise, much effort has been made to automate the quantification of white matter hyperintensities. There is rarely any report that attempts to study the similarity/dissimilarity of white matter hyperintensity patterns that have different sizes, shapes and spatial localizations on the MRI. This paper proposes an original computational neuroscience framework for such a conceptual study with a standpoint that the prior knowledge about white matter hyperintensities can be accumulated and utilized to enable a reliable inference of the rating of a new white matter hyperintensity observation. This computational approach for rating inference of white matter hyperintensities, which appears to be the first study, can be utilized as a computerized rating-assisting tool and can be very economical for diagnostic evaluation of brain tissue lesions.

Place, publisher, year, edition, pages
2011. Vol. 8, no 1, 1-10 p.
National Category
Medical Laboratory and Measurements Technologies
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URN: urn:nbn:se:liu:diva-127879DOI: 10.1088/1741-2560/8/1/016004PubMedID: 21248384OAI: oai:DiVA.org:liu-127879DiVA: diva2:928873
Available from: 2016-05-17 Created: 2016-05-13 Last updated: 2016-06-02

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Pham, Tuan D.
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