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

Result code in 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>
Alternative codes found
RIV/68081731:_____/13:00397771
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Automated Segmentation of Brain Tumor Edema in FLAIR MRI Using Symmetry and Thresholding
Original language description
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
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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