Assessment of hydrocephalus in children based on digital image processing and analysis

Uproszczony widok
dc.contributor.authorFabijańska, Anna
dc.contributor.authorWęgliński, Tomasz
dc.contributor.authorZakrzewski, Krzysztof
dc.contributor.authorNowosławska, Emilia
dc.date.accessioned2016-02-01T10:20:38Z
dc.date.available2016-02-01T10:20:38Z
dc.date.issued2014
dc.description.abstractHydrocephalus is a pathological condition of the central nervous system which often affects neonates and young children. It manifests itself as an abnormal accumulation of cerebrospinal fluid within the ventricular system of the brain with its subsequent progression. One of the most important diagnostic methods of identifying hydrocephalus is Computer Tomography (CT). The enlarged ventricular system is clearly visible on CT scans. However, the assessment of the disease progress usually relies on the radiologist’s judgment and manual measurements, which are subjective, cumbersome and have limited accuracy. Therefore, this paper regards the problem of semi-automatic assessment of hydrocephalus using image processing and analysis algorithms. In particular, automated determination of popular indices of the disease progress is considered. Algorithms for the detection, semi-automatic segmentation and numerical description of the lesion are proposed. Specifically, the disease progress is determined using shape analysis algorithms. Numerical results provided by the introduced methods are presented and compared with those calculated manually by a radiologist and a trained operator. The comparison proves the correctness of the introduced approach.en_EN
dc.identifier.citationInternational Journal of Applied Mathematics and Computer Science, Vol. 24, Issue 2,2014, Pages 299–312
dc.identifier.urihttp://hdl.handle.net/11652/1023
dc.identifier.urihttp://www.degruyter.com/view/j/amcs.2014.24.issue-2/amcs-2014-0022/amcs-2014-0022.xml?format=INT
dc.language.isoenen_EN
dc.relation.ispartofseriesInternational Journal of Applied Mathematics and Computer Science, Vol. 24, Issue 2, 2014en_EN
dc.subjecthydrocephalusen_EN
dc.subjectcomputed tomographyen_EN
dc.subjectimage segmentationen_EN
dc.subjectEvans indexen_EN
dc.subjectfrontal and occipital horn ratioen_EN
dc.subjectventricular angleen_EN
dc.subjectfrontal horn radius.en_EN
dc.titleAssessment of hydrocephalus in children based on digital image processing and analysisen_EN
dc.typeArtykułpl_PL
dc.typeArticleen_EN

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