Detection of Brain Tumors Based on Automatic Symmetry Analysis

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Detection of Brain Tumors Based on Automatic Symmetry Analysis

Popis výsledku v původním jazyce

This article focuses on the detection of a brain tumor location in magnetic resonance images. The aim of this work is not the precise segmentation of the tumor and its parts but only the detection of its approximate location. It will be used in future work for more accurate segmentation. For this reason, it also does not deal with detecting of the images containing the tumor. The algorithm expects a 2D T2-weighted magnetic resonance image of brain containing a tumor. The detection is based on locating the area that breaks the left-right symmetry of the brain. The created algorithm was tested on 73 images containing tumor, tumor with edema or only edema. These pathological structures had various sizes and shapes and were located in various parts of thebrain.

Název v anglickém jazyce

Detection of Brain Tumors Based on Automatic Symmetry Analysis

Popis výsledku anglicky

This article focuses on the detection of a brain tumor location in magnetic resonance images. The aim of this work is not the precise segmentation of the tumor and its parts but only the detection of its approximate location. It will be used in future work for more accurate segmentation. For this reason, it also does not deal with detecting of the images containing the tumor. The algorithm expects a 2D T2-weighted magnetic resonance image of brain containing a tumor. The detection is based on locating the area that breaks the left-right symmetry of the brain. The created algorithm was tested on 73 images containing tumor, tumor with edema or only edema. These pathological structures had various sizes and shapes and were located in various parts of thebrain.

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the 18th Computer Vision Winter Workshop Hernstein, Austria, February 4-6, 2013

ISBN

978-3-200-02943-9

ISSN

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e-ISSN

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Počet stran výsledku

8

Strana od-do

24-31

Název nakladatele

Neuveden

Místo vydání

Hernstein, Rakousko

Místo konání akce

Hernstein

Datum konání akce

4. 2. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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