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MARCOŇ, P. BARTUŠEK, K. ŠPRLÁKOVÁ, A.
Originální název
Using Diffusion-Weighted Images to Identify Brain Tumors
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
The paper presents an evaluation of the magnetic resonance images of a pathology in the human brain. The experiment involved patients with high-grade glioma tumors in the brain, and an MR tomograph operated by the University Hospital Brno-Bohunice was utilized in the related examinations. In our investigation, we measured images weighted by diffusion. A very interesting technique is diffusion-weighted imaging (DWI), where the measurement sequence comprises a table with 32 vectors of the b-factor orientation. The goal is to perform signal processing in the measured diffusion-weighted images. We proposed a special algorithm for the processing of the DWI image signal. The next step in the procedure was the statistical evaluation of DWI images of healthy and diseased human tissues. We also calculated the brain white matter images, such as those of the fraction anisotropy, RA (relative anisotropy), and VR (volume ratio).
Klíčová slova
anisotropy, brain tumors, diffusion-weighted images, edema, MR measurement
Autoři
MARCOŇ, P.; BARTUŠEK, K.; ŠPRLÁKOVÁ, A.
Rok RIV
2014
Vydáno
25. 8. 2014
Místo
Guangzhou, China
ISBN
978-1-934142-28-8
Kniha
PIERS 2014 Guangzhou Proceedings
ISSN
1559-9450
Periodikum
Progress In Electromagnetics
Stát
Spojené státy americké
Strany od
2340
Strany do
2343
Strany počet
4
URL
http://piers.org/piersproceedings/download.php?file=cGllcnMyMDE0R3Vhbmd6aG91fDRBXzEyXzIzNDAucGRmfDE0MDMyMDA0NTYzMg==
BibTex
@inproceedings{BUT109581, author="Petr {Marcoň} and Karel {Bartušek} and Andrea {Šprláková}", title="Using Diffusion-Weighted Images to Identify Brain Tumors", booktitle="PIERS 2014 Guangzhou Proceedings", year="2014", journal="Progress In Electromagnetics", pages="2340--2343", address="Guangzhou, China", isbn="978-1-934142-28-8", issn="1559-9450", url="http://piers.org/piersproceedings/download.php?file=cGllcnMyMDE0R3Vhbmd6aG91fDRBXzEyXzIzNDAucGRmfDE0MDMyMDA0NTYzMg==" }