Detail publikace

Using Diffusion-Weighted Images to Identify Brain Tumors

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

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=="
}