Segmentation of brain lesions in diffusion-weighted MRI using thresholding technique

Norhashimah Mohd Saad, S. A R Abu-Bakar, Sobri Muda, Musa Mokji

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

10 Citations (Scopus)

Abstract

This paper presents brain lesion segmentation of diffusion-weighted magnetic resonance images (DW-MRI or DWI) based on thresholding technique. The lesions are solid tumour, acute infarction, haemorrhage, and abscess. Preprocessing is applied to the DWI for normalization, background removal and enhancement. Two different techniques which are Gamma-law transformation and contrast stretching are applied for the enhancement. For the image segmentation process, the DWI is divided by 88 regions. Then image histogram is calculated at each region to find the maximum number of pixels for each intensity level. The optimal threshold is determined by comparing normal and lesion regions. By using Gamma-law transformation, 0.48 is found as the optimal thresholding value whereas 0.28 for the contrast stretching. The proposed technique has been validated by using area overlap (AO), false positive rate (FPR), and false negative rate (FNR). Thresholding with gamma-law transformation algorithm provides better segmentation results with AO, FPR, FNR (0.68, 0.14, 0.18) compared to contrast stretching (0.62, 0.15, 0.23).

Original languageEnglish
Title of host publication2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011
Pages249-254
Number of pages6
DOIs
Publication statusPublished - 2011
Event2011 2nd IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011 - Kuala Lumpur
Duration: 16 Nov 201118 Nov 2011

Other

Other2011 2nd IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011
CityKuala Lumpur
Period16/11/1118/11/11

Fingerprint

Magnetic resonance imaging
Stretching
Brain
Magnetic resonance
Image segmentation
Tumors
Pixels

Keywords

  • DWI
  • Gamma-law and contrast stretching
  • segmentation
  • thresholding

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Saad, N. M., Abu-Bakar, S. A. R., Muda, S., & Mokji, M. (2011). Segmentation of brain lesions in diffusion-weighted MRI using thresholding technique. In 2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011 (pp. 249-254). [6144092] https://doi.org/10.1109/ICSIPA.2011.6144092

Segmentation of brain lesions in diffusion-weighted MRI using thresholding technique. / Saad, Norhashimah Mohd; Abu-Bakar, S. A R; Muda, Sobri; Mokji, Musa.

2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011. 2011. p. 249-254 6144092.

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

Saad, NM, Abu-Bakar, SAR, Muda, S & Mokji, M 2011, Segmentation of brain lesions in diffusion-weighted MRI using thresholding technique. in 2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011., 6144092, pp. 249-254, 2011 2nd IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011, Kuala Lumpur, 16/11/11. https://doi.org/10.1109/ICSIPA.2011.6144092
Saad NM, Abu-Bakar SAR, Muda S, Mokji M. Segmentation of brain lesions in diffusion-weighted MRI using thresholding technique. In 2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011. 2011. p. 249-254. 6144092 https://doi.org/10.1109/ICSIPA.2011.6144092
Saad, Norhashimah Mohd ; Abu-Bakar, S. A R ; Muda, Sobri ; Mokji, Musa. / Segmentation of brain lesions in diffusion-weighted MRI using thresholding technique. 2011 IEEE International Conference on Signal and Image Processing Applications, ICSIPA 2011. 2011. pp. 249-254
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