Publication detail

Detection of Brain Tumors Based on Automatic Symmetry Analysis

DVOŘÁK, P. KROPATSCH, W.

Original Title

Detection of Brain Tumors Based on Automatic Symmetry Analysis

English Title

Detection of Brain Tumors Based on Automatic Symmetry Analysis

Type

conference paper

Language

en

Original Abstract

This article focuses on the detection of a brain tumor location in magnetic resonance images. The aim of this work is not the precise segmentation of the tumor and its parts but only the detection of its approximate location. It will be used in future work for more accurate segmentation. For this reason, it also does not deal with detecting of the images containing the tumor. The algorithm expects a 2D T2-weighted magnetic resonance image of brain containing a tumor. The detection is based on locating the area that breaks the left-right symmetry of the brain. The created algorithm was tested on 73 images containing tumor, tumor with edema or only edema. These pathological structures had various sizes and shapes and were located in various parts of the brain.

English abstract

This article focuses on the detection of a brain tumor location in magnetic resonance images. The aim of this work is not the precise segmentation of the tumor and its parts but only the detection of its approximate location. It will be used in future work for more accurate segmentation. For this reason, it also does not deal with detecting of the images containing the tumor. The algorithm expects a 2D T2-weighted magnetic resonance image of brain containing a tumor. The detection is based on locating the area that breaks the left-right symmetry of the brain. The created algorithm was tested on 73 images containing tumor, tumor with edema or only edema. These pathological structures had various sizes and shapes and were located in various parts of the brain.

Keywords

Brain tumor, brain tumor detection, brain symmetry analysis

RIV year

2013

Released

06.02.2013

Location

Hernstein, Rakousko

ISBN

978-3-200-02943-9

Book

Proceedings of the 18th Computer Vision Winter Workshop Hernstein, Austria, February 4-6, 2013

Edition number

18

Pages from

24

Pages to

31

Pages count

8

Documents

BibTex


@inproceedings{BUT97873,
  author="Pavel {Dvořák} and Walter G. {Kropatsch}",
  title="Detection of Brain Tumors Based on Automatic Symmetry Analysis",
  annote="This article focuses on the detection of a brain tumor location in magnetic resonance images. The aim of this work is not the precise segmentation of the tumor and its parts but only the detection of its approximate location. It will be used in future work for more accurate segmentation. For this reason, it also does not deal with detecting of the images containing the tumor. The algorithm expects a 2D T2-weighted magnetic resonance image of brain containing a tumor. The detection is based on locating the area that breaks the left-right symmetry of the brain. The created algorithm was tested on 73 images containing tumor, tumor with edema or only edema. These pathological structures had various sizes and shapes and were located in various parts of the brain.",
  booktitle="Proceedings of the 18th Computer Vision Winter Workshop Hernstein, Austria, February 4-6, 2013",
  chapter="97873",
  howpublished="online",
  year="2013",
  month="february",
  pages="24--31",
  type="conference paper"
}