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2014 | 24 | 2 | 299-312
Tytuł artykułu

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

Treść / Zawartość
Warianty tytułu
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.
Rocznik
Tom
24
Numer
2
Strony
299-312
Opis fizyczny
Daty
wydano
2014
otrzymano
2013-01-17
poprawiono
2013-12-28
Twórcy
  • Institute of Applied Computer Science, Łódź University of Technology, Stefanowskiego 18/22, 90-924 Łódź, Poland
  • Institute of Applied Computer Science, Łódź University of Technology, Stefanowskiego 18/22, 90-924 Łódź, Poland
  • Department of Neurosurgery, Polish Mother's Memorial Hospital, Research Institute in Łódź, Rzgowska 281/289, 93-338 Łódź, Poland
  • Department of Neurosurgery, Polish Mother's Memorial Hospital, Research Institute in Łódź, Rzgowska 281/289, 93-338 Łódź, Poland
Bibliografia
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.bwnjournal-article-amcv24i2p299bwm
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