Automated region growing for segmentation of brain lesion in diffusion-weighted MRI

N. Mohd Saad, S. A R Abu-Bakar, Sobri Muda, M. Mokji, A. R. Abdullah

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

This paper presents an automatic segmentation of brain lesions from diffusion-weighted magnetic resonance imaging (DW-MRI or DWI) using region growing approach. The lesions are acute infarction, haemorrhage, tumour and abscess. Region splitting and merging is used to detect the lesion region. Then, histogram thresholding technique is applied to automate the seeds selection. The region is iteratively grown by comparing all unallocated neighbour pixels to the seeds. The difference between pixel's intensity value and the region's mean is used as the similarity measure. Evaluation is made for performance comparison between automatic and manual seeds selection. Overall, automated region growing algorithm provides comparable results with the semi-automatic segmentation.

Original languageEnglish
Title of host publicationLecture Notes in Engineering and Computer Science
Pages674-677
Number of pages4
Volume1
Publication statusPublished - 2012
Event2012 International MultiConference of Engineers and Computer Scientists, IMECS 2012 - Kowloon
Duration: 14 Mar 201216 Mar 2012

Other

Other2012 International MultiConference of Engineers and Computer Scientists, IMECS 2012
CityKowloon
Period14/3/1216/3/12

Fingerprint

Magnetic resonance imaging
Seed
Brain
Pixels
Magnetic resonance
Merging
Tumors
Imaging techniques

Keywords

  • DWI
  • Region growing
  • Segmentation

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this

Mohd Saad, N., Abu-Bakar, S. A. R., Muda, S., Mokji, M., & Abdullah, A. R. (2012). Automated region growing for segmentation of brain lesion in diffusion-weighted MRI. In Lecture Notes in Engineering and Computer Science (Vol. 1, pp. 674-677)

Automated region growing for segmentation of brain lesion in diffusion-weighted MRI. / Mohd Saad, N.; Abu-Bakar, S. A R; Muda, Sobri; Mokji, M.; Abdullah, A. R.

Lecture Notes in Engineering and Computer Science. Vol. 1 2012. p. 674-677.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohd Saad, N, Abu-Bakar, SAR, Muda, S, Mokji, M & Abdullah, AR 2012, Automated region growing for segmentation of brain lesion in diffusion-weighted MRI. in Lecture Notes in Engineering and Computer Science. vol. 1, pp. 674-677, 2012 International MultiConference of Engineers and Computer Scientists, IMECS 2012, Kowloon, 14/3/12.
Mohd Saad N, Abu-Bakar SAR, Muda S, Mokji M, Abdullah AR. Automated region growing for segmentation of brain lesion in diffusion-weighted MRI. In Lecture Notes in Engineering and Computer Science. Vol. 1. 2012. p. 674-677
Mohd Saad, N. ; Abu-Bakar, S. A R ; Muda, Sobri ; Mokji, M. ; Abdullah, A. R. / Automated region growing for segmentation of brain lesion in diffusion-weighted MRI. Lecture Notes in Engineering and Computer Science. Vol. 1 2012. pp. 674-677
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