Tissue Segmentation of Brain MRI

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU109849" target="_blank" >RIV/00216305:26220/14:PU109849 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/7296361" target="_blank" >https://ieeexplore.ieee.org/document/7296361</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2015.7296361" target="_blank" >10.1109/TSP.2015.7296361</a>

Result language
angličtina
Original language name
Tissue Segmentation of Brain MRI
Original language description
This work focuses on segmentation of magnetic resonance images of brain. The segmentation is based on assumption that in magnetic resonance images with high signal-to-noise ratio, the noise can be approximated by Gaussian. The method is tested on stand-alone simulated 2D MR images of healthy brain. The comparison between T1-weighted, T2-weighted and multiparametric images is performed. The proposed algorithm is used to segment brain images into three different tissues. For the proposed method, the best results were achieved for stand-alone T1-weighted images, while stand-alone T2-weighted images show the worst results. The achieved results slightly vary for particular tissue.
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
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
38th International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-4799-8497-8
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
735-738
Publisher name
Neuveden
Place of publication
Berlin
Event location
Berlín
Event date
Jul 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000375231000252

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