Multi-level segmentation method for serial computed tomography brain images

W. M. Diyana, Wan Mimi Diyana Wan Zaki, M. Faizal, A. Fauzi, R. Besar, W. S H Munirah, W. Ahmad

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

4 Citations (Scopus)

Abstract

This paper presents an automated computed tomography brain segmentation approach used to segment intracranial into brain matters and cerebrospinal fluid in order to detect any asymmetry present. Intracranial midline is used as reference axial where left and right segmented regions are subjectively compared. Two-level Otsu multi-thresholding method has been developed and applied to 213 abnormal cases of serial computed tomography brain images of thirty one patients. Prior to that, multilevel Fuzzy C-Means is used to extract the intracranial from background and skull. The segmented regions found to be very useful in providing information regarding normal and abnormal structures in the intracranial where any asymmetry detected would indicate high probability of abnormalities. This approach proved to effectively isolate important homogenous regions of computed tomography brain images from which extracted features would provide a strong basis in the application of content-based medical image retrieval.

Original languageEnglish
Title of host publicationICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings
Pages107-112
Number of pages6
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09 - Kuala Lumpur
Duration: 18 Nov 200919 Nov 2009

Other

Other2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09
CityKuala Lumpur
Period18/11/0919/11/09

Fingerprint

Tomography
Brain
Cerebrospinal fluid
Image retrieval

Keywords

  • CBMIR
  • CT brain images
  • Fuzzy C-Means
  • Intracranial
  • Multi-level Otsu thresholding method

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Diyana, W. M., Wan Zaki, W. M. D., Faizal, M., Fauzi, A., Besar, R., Munirah, W. S. H., & Ahmad, W. (2009). Multi-level segmentation method for serial computed tomography brain images. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings (pp. 107-112). [5478636] https://doi.org/10.1109/ICSIPA.2009.5478636

Multi-level segmentation method for serial computed tomography brain images. / Diyana, W. M.; Wan Zaki, Wan Mimi Diyana; Faizal, M.; Fauzi, A.; Besar, R.; Munirah, W. S H; Ahmad, W.

ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 107-112 5478636.

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

Diyana, WM, Wan Zaki, WMD, Faizal, M, Fauzi, A, Besar, R, Munirah, WSH & Ahmad, W 2009, Multi-level segmentation method for serial computed tomography brain images. in ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings., 5478636, pp. 107-112, 2009 IEEE International Conference on Signal and Image Processing Applications, ICSIPA09, Kuala Lumpur, 18/11/09. https://doi.org/10.1109/ICSIPA.2009.5478636
Diyana WM, Wan Zaki WMD, Faizal M, Fauzi A, Besar R, Munirah WSH et al. Multi-level segmentation method for serial computed tomography brain images. In ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. p. 107-112. 5478636 https://doi.org/10.1109/ICSIPA.2009.5478636
Diyana, W. M. ; Wan Zaki, Wan Mimi Diyana ; Faizal, M. ; Fauzi, A. ; Besar, R. ; Munirah, W. S H ; Ahmad, W. / Multi-level segmentation method for serial computed tomography brain images. ICSIPA09 - 2009 IEEE International Conference on Signal and Image Processing Applications, Conference Proceedings. 2009. pp. 107-112
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