Brain lesion segmentation using fuzzy C-means on diffusion-weighted imaging

Ayuni Fateeha Muda, Norhashimah Mohd Saad, S. A R Abu Bakar, Sobri Muda, A. R. Abdullah

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

This paper presents an automatic segmentation of brain lesions from diffusion-weighted imaging (DWI) using Fuzzy C-Means (FCM) algorithm. The lesions are acute stroke, tumour and chronic stroke. Pre-processing is applied to the DWI for intensity normalization, background removal and enhancement. After that, FCM is used for the segmentation process. FCM is an iterative process, where the process will stop when the maximum number of iterations is reached or the iteration is repeated until a set point known as the threshold is reached. The FCM provides good segmentation result in hyperintensity and hypointensity lesions according to the high value of the area overlap, and low value of false positive and false negative rates. The average dice indices are 0.73 (acute stroke), 0.68 (tumour) and 0.82 (chronic stroke).

Original languageEnglish
Pages (from-to)1138-1144
Number of pages7
JournalARPN Journal of Engineering and Applied Sciences
Volume10
Issue number3
Publication statusPublished - 2015

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Tumors
Brain
Imaging techniques
Processing

Keywords

  • Brain lesion
  • Diffusion-weighted imaging
  • Fuzzy c-means

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Muda, A. F., Saad, N. M., Abu Bakar, S. A. R., Muda, S., & Abdullah, A. R. (2015). Brain lesion segmentation using fuzzy C-means on diffusion-weighted imaging. ARPN Journal of Engineering and Applied Sciences, 10(3), 1138-1144.

Brain lesion segmentation using fuzzy C-means on diffusion-weighted imaging. / Muda, Ayuni Fateeha; Saad, Norhashimah Mohd; Abu Bakar, S. A R; Muda, Sobri; Abdullah, A. R.

In: ARPN Journal of Engineering and Applied Sciences, Vol. 10, No. 3, 2015, p. 1138-1144.

Research output: Contribution to journalArticle

Muda, AF, Saad, NM, Abu Bakar, SAR, Muda, S & Abdullah, AR 2015, 'Brain lesion segmentation using fuzzy C-means on diffusion-weighted imaging', ARPN Journal of Engineering and Applied Sciences, vol. 10, no. 3, pp. 1138-1144.
Muda, Ayuni Fateeha ; Saad, Norhashimah Mohd ; Abu Bakar, S. A R ; Muda, Sobri ; Abdullah, A. R. / Brain lesion segmentation using fuzzy C-means on diffusion-weighted imaging. In: ARPN Journal of Engineering and Applied Sciences. 2015 ; Vol. 10, No. 3. pp. 1138-1144.
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