Publication detail
Using Diffusion-Weighted Images to Identify Brain Tumors
MARCOŇ, P. BARTUŠEK, K. ŠPRLÁKOVÁ, A.
Original Title
Using Diffusion-Weighted Images to Identify Brain Tumors
English Title
Using Diffusion-Weighted Images to Identify Brain Tumors
Type
conference paper
Language
en
Original Abstract
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).
English abstract
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).
Keywords
anisotropy, brain tumors, diffusion-weighted images, edema, MR measurement
RIV year
2014
Released
25.08.2014
Location
Guangzhou, China
ISBN
978-1-934142-28-8
Book
PIERS 2014 Guangzhou Proceedings
Pages from
2340
Pages to
2343
Pages count
4
URL
BibTex
@inproceedings{BUT109581,
author="Petr {Marcoň} and Karel {Bartušek} and Andrea {Šprláková}",
title="Using Diffusion-Weighted Images to Identify Brain Tumors",
annote="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).",
booktitle="PIERS 2014 Guangzhou Proceedings",
chapter="109581",
howpublished="electronic, physical medium",
year="2014",
month="august",
pages="2340--2343",
type="conference paper"
}