Publication detail

Fully Automatic 3D Glioma Extraction in Multi-contrast MRI

DVOŘÁK, P. BARTUŠEK, K.

Original Title

Fully Automatic 3D Glioma Extraction in Multi-contrast MRI

English Title

Fully Automatic 3D Glioma Extraction in Multi-contrast MRI

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

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

RIV year

2014

Released

17.10.2014

Publisher

Springer

Location

Algarve

Pages from

239

Pages to

246

Pages count

8

BibTex


@inproceedings{BUT109948,
  author="Pavel {Dvořák} and Karel {Bartušek}",
  title="Fully Automatic 3D Glioma Extraction in Multi-contrast MRI",
  annote="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.",
  address="Springer",
  booktitle="11th International Conference on Image Analysis and Recognition (ICIAR)",
  chapter="109948",
  doi="10.1007/978-3-319-11755-3_27",
  howpublished="print",
  institution="Springer",
  number="Part II",
  year="2014",
  month="october",
  pages="239--246",
  publisher="Springer",
  type="conference paper"
}