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

• Autorzy: Fabijańska A. , Węgliński T. , Zakrzewski K. , Nowosławska E.

Identyfikatory

DOI

10.2478/amcs-2014-0022

• Języki publikacji: EN

Abstrakty

EN

Hydrocephalus 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.

Słowa kluczowe

EN

hydrocephalus; computed tomography; image segmentation; Evans index; frontal horn ratio; occipital horn ratio; ventricular angle; frontal horn radius

PL

wodogłowie; tomografia komputerowa; segmentacja obrazu

• Wydawca: Oficyna Wydawnicza Uniwersytetu Zielonogórskiego
• Czasopismo: International Journal of Applied Mathematics and Computer Science
• Rocznik: 2014
• Tom: Vol. 24, no. 2
• Strony: 299--312
• Opis fizyczny: Bibliogr. 24 poz., rys., tab., wykr.

Twórcy

autor

Fabijańska A.

• Institute of Applied Computer Science, Łódź University of Technology, Stefanowskiego 18/22, 90-924 Łódź, Poland

autor

Węgliński T.

• Institute of Applied Computer Science, Łódź University of Technology, Stefanowskiego 18/22, 90-924 Łódź, Poland

autor

Zakrzewski K.

• Department of Neurosurgery, Polish Mother’s Memorial Hospital, Research Institute in Łódź, Rzgowska 281/289, 93-338 Łódź, Poland

autor

Nowosławska E.

• Department of Neurosurgery, Polish Mother’s Memorial Hospital, Research Institute in Łódź, Rzgowska 281/289, 93-338 Łódź, Poland

Bibliografia

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