Detail publikace

Fully Automatic 3D Glioma Extraction in Multi-contrast MRI

DVOŘÁK, P. BARTUŠEK, K.

Originální název

Fully Automatic 3D Glioma Extraction in Multi-contrast MRI

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This work deals with the fully automatic extraction of a glioma, the most common type of brain tumor, in multi-contrast 3D magnetic resonance volumes. The detection is based on the locating the area that breaks the left-right symmetry of the brain. The proposed method uses multi-contrast MRI, where FLAIR and T2-weighted volumes are employed. The algorithm was designed to extract the whole pathology as one region. The created algorithm was tested on 80 volumes from publicly available BRATS databases containing multi-contrast 3D brain volumes afflicted by a brain tumor. These pathological structures had various sizes and shapes and were located in various parts of the brain. The extraction process was evaluated by Dice Coeffcient(0.75). The proposed algorithm detected and extracted multifocal tumors as separated regions as well.

Klíčová slova

Brain tumor, image segmentation, MRI, multi-resolution analysis, symmetry analysis.

Autoři

DVOŘÁK, P.; BARTUŠEK, K.

Rok RIV

2014

Vydáno

17. 10. 2014

Nakladatel

Springer

Místo

Algarve

ISSN

0302-9743

Periodikum

Lecture Notes in Computer Science

Ročník

13 (8815)

Číslo

Part II

Stát

Spolková republika Německo

Strany od

239

Strany do

246

Strany počet

8

BibTex

@inproceedings{BUT109948,
  author="Pavel {Dvořák} and Karel {Bartušek}",
  title="Fully Automatic 3D Glioma Extraction in Multi-contrast MRI",
  booktitle="11th International Conference on Image Analysis and Recognition (ICIAR)",
  year="2014",
  journal="Lecture Notes in Computer Science",
  volume="13 (8815)",
  number="Part II",
  pages="239--246",
  publisher="Springer",
  address="Algarve",
  doi="10.1007/978-3-319-11755-3\{_}27",
  issn="0302-9743"
}