The hidden-Markov brain: comparison and inference of white matter hyperintensities on magnetic resonance imaging (MRI)
Pham, Tuan D., Salvetti, Federica, Wang, Bing, Diani, Marco, Heindel, Walter, Knecht, Stefan, Wersching, Heinke, Baune, Bernhard T., and Berger, Klaus (2011) The hidden-Markov brain: comparison and inference of white matter hyperintensities on magnetic resonance imaging (MRI). Journal of Neural Engineering, 8 (1). pp. 1-10.
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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.
|Item Type:||Article (Refereed Research - C1)|
|FoR Codes:||11 MEDICAL AND HEALTH SCIENCES > 1109 Neurosciences > 110999 Neurosciences not elsewhere classified @ 100%|
|SEO Codes:||92 HEALTH > 9204 Public Health (excl. Specific Population Health) > 920410 Mental Health @ 100%|
|Deposited On:||09 Jun 2011 12:00|
|Last Modified:||09 Jun 2011 12:00|
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