Tissue Segmentation of Brain MRI

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F14%3A00436580" target="_blank" >RIV/68081731:_____/14:00436580 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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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 bestresults 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
<a href="/en/project/GAP102%2F12%2F1104" target="_blank" >GAP102/12/1104: Study of metabolism and localization of high grade glioma using MR imaging techniques</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
37th International Conference on Telecommunications and Signal Processing (TSP 2014)
ISBN
978-80-214-4983-1
ISSN
1805-5435
e-ISSN
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Number of pages
4
Pages from-to
482-485
Publisher name
IEEE
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
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