Publication detail

Pathological Area Detection in MR Images of Brain

DVOŘÁK, P. BARTUŠEK, K. KROPATSCH, W.

Original Title

Pathological Area Detection in MR Images of Brain

English Title

Pathological Area Detection in MR Images of Brain

Type

journal article - other

Language

en

Original Abstract

This paper focuses on automatic locating of pathological areas in brain and its extraction. The knowledge of properties of healthy brains are used for locating the approximate position of a athological area. These areas are found as parts of the brain breaking the left-right symmetry. This method works for axial and coronal slices and it was tested on T2-weighted images and FLAIR images in both planes.

English abstract

This paper focuses on automatic locating of pathological areas in brain and its extraction. The knowledge of properties of healthy brains are used for locating the approximate position of a athological area. These areas are found as parts of the brain breaking the left-right symmetry. This method works for axial and coronal slices and it was tested on T2-weighted images and FLAIR images in both planes.

Keywords

Brain, brain tumour detection, MR, symmetry analysis

RIV year

2013

Released

20.04.2013

ISBN

1213-1539

Periodical

Elektrorevue - Internetový časopis (http://www.elektrorevue.cz)

Year of study

4

Number

1

State

CZ

Pages from

17

Pages to

21

Pages count

5

Documents

BibTex


@article{BUT99497,
  author="Pavel {Dvořák} and Karel {Bartušek} and Walter G. {Kropatsch}",
  title="Pathological Area Detection in MR Images of Brain",
  annote="This paper focuses on automatic locating of pathological areas in brain and its extraction. The knowledge of properties of healthy brains are used for locating the approximate position of a athological area. These areas are found as parts of the brain breaking the left-right symmetry. This method works for axial and coronal slices and it was tested on T2-weighted images and FLAIR images in both planes.",
  chapter="99497",
  number="1",
  volume="4",
  year="2013",
  month="april",
  pages="17--21",
  type="journal article - other"
}