X-Ray image enhancement for anterior Osteophyte diagnosis

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

3 Citations (Scopus)

Abstract

Computer assisted system has been implemented virtually in many domains within the field of medical imaging. An automated assessment system based on computer is important for early detection and diagnosis of various diseases. Moreover, image enhancement in medical imaging is a vital component in improving the quality of medical image, so that pre-screening of the disease can be carried accurately without performing any open surgery. Hence, pre-processing module is an important step to enhance the medical image, especially for X-ray modality, which normally affected by artefacts, noise and hardware limitations. A low quality of X-ray image will usually lead to inaccurate diagnosis. Therefore, a semi-automated assessment system has been developed to diagnose Anterior Osteophytes (AO) condition based on X-ray image that focused on cervical vertebrae. The system consists of four main modules: image enhancement, image segmentation, feature extraction and classification. This system is intended to facilitate medical practitioners in screening the AO condition with more accurate and faster diagnosis. A graphical user interface has also been developed to help the medical practitioners to perform the image enhancement easily. The proposed system is tested with 100 cervical X-ray images and the obtained accuracy is 60%. Finally, this system is suitable for real time implementation and can be implemented on most recent desktop technology.

Original languageEnglish
Title of host publicationProceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages47-52
Number of pages6
ISBN (Electronic)9781467393454
DOIs
Publication statusPublished - 12 Jan 2016
Event17th International Electronics Symposium, IES 2015 - Surabaya, Indonesia
Duration: 29 Sep 201530 Sep 2015

Other

Other17th International Electronics Symposium, IES 2015
CountryIndonesia
CitySurabaya
Period29/9/1530/9/15

Fingerprint

Image enhancement
X rays
Medical imaging
Screening
Graphical user interfaces
Image segmentation
Surgery
Feature extraction
Hardware
Processing

Keywords

  • Anterior Osteophytes
  • Biomedical image processing
  • Computer aided diagnosis
  • Pre-Processing
  • X-ray based detection

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Abdullah, S., Zulkifley, M. A., Wan Zaki, W. M. D., & Ibrahim, M. F. (2016). X-Ray image enhancement for anterior Osteophyte diagnosis. In Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015 (pp. 47-52). [7380812] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELECSYM.2015.7380812

X-Ray image enhancement for anterior Osteophyte diagnosis. / Abdullah, Sarimah; Zulkifley, Mohd Asyraf; Wan Zaki, Wan Mimi Diyana; Ibrahim, Mohd Faisal.

Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 47-52 7380812.

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

Abdullah, S, Zulkifley, MA, Wan Zaki, WMD & Ibrahim, MF 2016, X-Ray image enhancement for anterior Osteophyte diagnosis. in Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015., 7380812, Institute of Electrical and Electronics Engineers Inc., pp. 47-52, 17th International Electronics Symposium, IES 2015, Surabaya, Indonesia, 29/9/15. https://doi.org/10.1109/ELECSYM.2015.7380812
Abdullah S, Zulkifley MA, Wan Zaki WMD, Ibrahim MF. X-Ray image enhancement for anterior Osteophyte diagnosis. In Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 47-52. 7380812 https://doi.org/10.1109/ELECSYM.2015.7380812
Abdullah, Sarimah ; Zulkifley, Mohd Asyraf ; Wan Zaki, Wan Mimi Diyana ; Ibrahim, Mohd Faisal. / X-Ray image enhancement for anterior Osteophyte diagnosis. Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 47-52
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