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"
}