Using Diffusion-weighted Images to Identify Brain Tumors

0433090 - ÚPT 2015 RIV GB eng C - Conference Paper (international conference)
Marcon, P. - Bartušek, Karel - Šprláková, A.
Using Diffusion-weighted Images to Identify Brain Tumors.
PIERS 2014 Guangzhou Proceedings. Cambridge: The Electromagnetics Academy, 2014, s. 2340-2343. ISBN 978-1-934142-28-8.
[PIERS 2014. Progress In Electromagnetics Research Symposium /35./. Guangzhou (CN), 25.08.2014-28.08.2014]
R&D Projects: GA ČR GAP102/12/1104
Institutional support: RVO:68081731
Keywords : brain tumor * MRI * diffusion-weighted images
OECD category: Other medical science

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 dffusion-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).
Permanent Link: http://hdl.handle.net/11104/0237377