Automated Multi-Contrast Brain Pathological Area Extraction from 2D MR Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F15%3A00452295" target="_blank" >RIV/68081731:_____/15:00452295 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/S1665-6423(15)30005-5" target="_blank" >http://dx.doi.org/10.1016/S1665-6423(15)30005-5</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/S1665-6423(15)30005-5" target="_blank" >10.1016/S1665-6423(15)30005-5</a>
Alternative languages
Result language
angličtina
Original language name
Automated Multi-Contrast Brain Pathological Area Extraction from 2D MR Images
Original language description
The aim of this work is to propose the fully automated pathological area extraction from multi-parametric 2D MR images of brain. The proposed method is based on multi-resolution symmetry analysis and automatic thresholding. The proposed algorithm first detects the presence of pathology and then starts its extraction. T2 images are used for the presence detection and the multi-contrast MRI is used for the extraction, concretely T2 and FLAIR images. The extraction is based on thresholding, where Otsu's algorithm is used for the automatic determination of the threshold. Since the method is based on symmetry, it works for both axial and coronal planes. In both these planes of healthy brain, the approximate left-right symmetry exists and it is used as the prior knowledge for searching the approximate pathology location. It is assumed that this area is not located symmetrically in both hemispheres, which is met in most cases. The detection algorithm was tested on 203 T2-weighted images and r
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BH - Optics, masers and lasers
OECD FORD branch
—
Result continuities
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
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Applied Research and Technology
ISSN
1665-6423
e-ISSN
—
Volume of the periodical
13
Issue of the periodical within the volume
1
Country of publishing house
MX - MEXICO
Number of pages
12
Pages from-to
58-69
UT code for WoS article
—
EID of the result in the Scopus database
—