Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU104543" target="_blank" >RIV/00216305:26220/13:PU104543 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/68081731:_____/13:00397771

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding

Popis výsledku v původním jazyce

Nowadays, the brain tumor detection and segmentation in MR images is a developing issue. There are many research teams producing different and interesting methods andalgorithms for this particular task of medical image processing. Many of them are semi-automatic, but the aim of current research, and of this work, is to find a fully automatic method. This paper focuses on the automatic edema segmentation in FLAIR images. his type of contrast images was selected because of the visibility and manifestationof edema in this image type. Since in axial plane of healthy brain, the approximate left-right symmetry exists, it is used as the prior knowledge for searching the approximate edema location. It is assumed that the edema is not located symmetrically inboth hemispheres, which is met in most cases. For the detection, the multi-resolution approach is used. Since the edemas manifest as a hyperintense area in FLAIR images, it is extracted using thresholding. For the automatic determination

Název v anglickém jazyce

Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding

Popis výsledku anglicky

Nowadays, the brain tumor detection and segmentation in MR images is a developing issue. There are many research teams producing different and interesting methods andalgorithms for this particular task of medical image processing. Many of them are semi-automatic, but the aim of current research, and of this work, is to find a fully automatic method. This paper focuses on the automatic edema segmentation in FLAIR images. his type of contrast images was selected because of the visibility and manifestationof edema in this image type. Since in axial plane of healthy brain, the approximate left-right symmetry exists, it is used as the prior knowledge for searching the approximate edema location. It is assumed that the edema is not located symmetrically inboth hemispheres, which is met in most cases. For the detection, the multi-resolution approach is used. Since the edemas manifest as a hyperintense area in FLAIR images, it is extracted using thresholding. For the automatic determination

Druh

D - Stať ve sborníku

CEP obor

JA - Elektronika a optoelektronika, elektrotechnika

OECD FORD obor

—

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>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

PIERS 2013 Stockholm Proceedings

ISBN

978-1-934142-26-4

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

936-939

Název nakladatele

Neuveden

Místo vydání

Stockholm

Místo konání akce

Stockholm

Datum konání akce

12. 8. 2013

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—