Using Diffusion-Weighted Images to Identify Brain Tumors

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F14%3APU110552" target="_blank" >RIV/00216305:26220/14:PU110552 - isvavai.cz</a>

Alternative codes found

RIV/68081731:_____/14:00433090

Result on the web

<a href="http://piers.org/piersproceedings/download.php?file=cGllcnMyMDE0R3Vhbmd6aG91fDRBXzEyXzIzNDAucGRmfDE0MDMyMDA0NTYzMg==" target="_blank" >http://piers.org/piersproceedings/download.php?file=cGllcnMyMDE0R3Vhbmd6aG91fDRBXzEyXzIzNDAucGRmfDE0MDMyMDA0NTYzMg==</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Using Diffusion-Weighted Images to Identify Brain Tumors

Original language description

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).

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

<a href="/en/project/GAP102%2F12%2F1104" target="_blank" >GAP102/12/1104: Study of metabolism and localization of high grade glioma using MR imaging techniques</a><br>

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2014

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

PIERS 2014 Guangzhou Proceedings

ISBN

978-1-934142-28-8

ISSN

1559-9450

e-ISSN

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Number of pages

4

Pages from-to

2340-2343

Publisher name

Neuveden

Place of publication

Guangzhou, China

Event location

Guangzhou

Event date

Aug 25, 2014

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000393225900519