Struktura obiektu

Autor:

Fabijańska, Anna ; Węgliński, Tomasz ; Zakrzewski, Krzysztof ; Nowosławska, Emilia

Współtwórca:

Makowski, Ryszard - ed. ; Zarzycki, Jan - ed.

Tytuł:

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

Podtytuł:

.

Tytuł publikacji grupowej:

AMCS, Volume 24 (2014)

Temat i słowa kluczowe:

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

Abstract:

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.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Data wydania:

2014

Typ zasobu:

artykuł

DOI:

10.2478/amcs-2014-0022

Strony:

299-312

Źródło:

AMCS, volume 24, number 2 (2014) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego