Publication detail

Automatic Extraction of Pathological Area in 2D MR Brain Scan

DVOŘÁK, P. BARTUŠEK, K. GESCHEIDTOVÁ, E.

Original Title

Automatic Extraction of Pathological Area in 2D MR Brain Scan

English Title

Automatic Extraction of Pathological Area in 2D MR Brain Scan

Type

conference paper

Language

en

Original Abstract

The aim of this work is to propose the fully automated pathological area extraction. The proposed method is based on multi-resolution symmetry analysis and automatic thresholding. The multi-contrast MRI (T2 and FLAIR images) is used. Since the method is based on symmetry, it works for both axial and coronal planes. In these both planes of healthy brain, the approximate left-right symmetry exists and it is used as the prior knowledge for searching the approximate pathology location. The algorithm was tested on 357 axial and 443 coronal real images from publicly available BRATS databases containing 3D brain volumes afflicted by a brain tumor. The results were evaluated by Dice Coefficient (axial: 0.85, coronal: 0.82) and by Accuracy (axial: 0.96, coronal: 0.94).

English abstract

The aim of this work is to propose the fully automated pathological area extraction. The proposed method is based on multi-resolution symmetry analysis and automatic thresholding. The multi-contrast MRI (T2 and FLAIR images) is used. Since the method is based on symmetry, it works for both axial and coronal planes. In these both planes of healthy brain, the approximate left-right symmetry exists and it is used as the prior knowledge for searching the approximate pathology location. The algorithm was tested on 357 axial and 443 coronal real images from publicly available BRATS databases containing 3D brain volumes afflicted by a brain tumor. The results were evaluated by Dice Coefficient (axial: 0.85, coronal: 0.82) and by Accuracy (axial: 0.96, coronal: 0.94).

Keywords

Brain Tumor, Image Segmentation, MRI

RIV year

2014

Released

25.08.2014

Location

Guangzhou

ISBN

978-1-934142-28-8

Book

PIERS 2014 Guangzhou Proceedings

Pages from

1885

Pages to

1889

Pages count

4

BibTex


@inproceedings{BUT109170,
  author="Pavel {Dvořák} and Karel {Bartušek} and Eva {Gescheidtová}",
  title="Automatic Extraction of Pathological Area in 2D MR Brain Scan",
  annote="The aim of this work is to propose the fully automated pathological area extraction. The proposed method is based on multi-resolution symmetry analysis and automatic thresholding. The multi-contrast MRI (T2 and FLAIR images) is used. Since the method is based on symmetry, it works for both axial and coronal planes. In these both planes of healthy brain, the approximate left-right symmetry exists and it is used as the prior knowledge for searching the approximate pathology location. The algorithm was tested on 357 axial and 443 coronal real images from publicly available BRATS databases containing 3D brain volumes afflicted by a brain tumor. The results were evaluated by Dice Coefficient (axial: 0.85, coronal: 0.82) and by Accuracy (axial: 0.96, coronal: 0.94).",
  booktitle="PIERS 2014 Guangzhou Proceedings",
  chapter="109170",
  howpublished="online",
  year="2014",
  month="august",
  pages="1885--1889",
  type="conference paper"
}