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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