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Detail publikačního výsledku
DVOŘÁK, P.; MIKULKA, J.; BARTUŠEK, K.
Originální název
Tissue Segmentation of Brain MRI
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
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.
Anglický abstrakt
Klíčová slova
Brain, Gaussian Mixture Model, GMM, Image segmentation, Magnetic Resonance.
Klíčová slova v angličtině
Autoři
Rok RIV
2015
Vydáno
09.07.2015
Místo
Berlin
ISBN
978-1-4799-8497-8
Kniha
38th International Conference on Telecommunications and Signal Processing (TSP)
Strany od
735
Strany do
738
Strany počet
4
URL
https://ieeexplore.ieee.org/document/7296361
BibTex
@inproceedings{BUT108629, author="Pavel {Dvořák} and Jan {Mikulka} and Karel {Bartušek}", title="Tissue Segmentation of Brain MRI", booktitle="38th International Conference on Telecommunications and Signal Processing (TSP)", year="2015", pages="735--738", address="Berlin", doi="10.1109/TSP.2015.7296361", isbn="978-1-4799-8497-8", url="https://ieeexplore.ieee.org/document/7296361" }