Detail publikace

Automatic Segmentation of Multi-Contrast MRI Using Statistical Region Merging

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

Originální název

Automatic Segmentation of Multi-Contrast MRI Using Statistical Region Merging

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Several methods have been developed for segmentation of MR images. Some of them are fully automated and some of them rely on an expert's assistance, such as determination of a starting point etc. The fully automated methods are usually based on prior knowledge of a given object and can be used only for particular problem. The purpose of the proposed method is a fully automatic segmentation for general MR images independent on the number of tissues present. The proposed method is based on Statistical Region Merging (SRM) algorithm developed by Richard Nock and Frank Nielsen in 2004. The suitable MR contrasts for this algorithm, as it was confirmed during the test phase, are T1, T2 and FLAIR images. The segmentation process divides to image into regions according the properties in the area, but it does not consider the unconnected areas. For this reason, the algorithm is repeated for created segments without a joint border condition. The algorithm was tested on 5000 axial images with resolution 256x256 pixels. In 2256 slices, the tumor was present. Since the proposed method is fully automatic and independent of image intensities, each image of the database can be considered as unique and independent of others. The Dice coefficient for tissue segmentation varies for particular tissues. The best average result was achieved for grey matter, where the dice coefficient reached value 0.84. The results show the suitability of SRM method for multi-contrast MRI segmentation.

Klíčová slova

Image Segmentation, MRI, Statistical Region Merging

Autoři

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

Rok RIV

2014

Vydáno

25. 8. 2014

Místo

Guangzhou

ISBN

978-1-934142-28-8

Kniha

PIERS 2014 Guangzhou Proceedings

ISSN

1559-9450

Periodikum

Progress In Electromagnetics

Stát

Spojené státy americké

Strany od

1865

Strany do

1869

Strany počet

5

BibTex

@inproceedings{BUT109169,
  author="Pavel {Dvořák} and Karel {Bartušek} and Eva {Gescheidtová}",
  title="Automatic Segmentation of Multi-Contrast MRI Using Statistical Region Merging",
  booktitle="PIERS 2014 Guangzhou Proceedings",
  year="2014",
  journal="Progress In Electromagnetics",
  pages="1865--1869",
  address="Guangzhou",
  isbn="978-1-934142-28-8",
  issn="1559-9450"
}