Semi-automatic spine extraction for disc space narrowing diagnosis

Nur Syazwani Samanu, Mohd Asyraf Zulkifley, Aini Hussain

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

Abstract

This paper describes the development of a semi-automatic system for detection and diagnosis of vertebrae condition, focuses on cervical area. The goal of this system is to facilitate medical community to make a faster pre-screening based on the imaging modalities, especially X-ray image. The main challenges in diagnosing a disease through X-ray image are the issue of blur and noise. Therefore, to achieve this goal, a semi-automatic spine extraction to detect disc space narrowing (DSN) condition has been developed that focused on patient with back pain history. In general, this system was developed on Matlab platform that consists of four major modules, which are image enhancement, image segmentation, feature extraction and classification. Image enhancement module utilized Contrast-limited Adaptive Histogram Equalization (CLAHE) and filtering technique to improve the image quality. After that, the second module is performed to extract the desired region from the original X-ray image. Feature extraction module is then implemented to extract unique signature of the vertebrae bones based on the bone's condition. For the last module, feed-forward backpropagation artificial neural network is used to classify the existence of DSN. It needs to be trained before testing is performed so that the parameters can be tuned for optimal classification. The quantitative performance proved that the X-ray image quality has been improved and the system has managed to classify the DSN condition. Simulation results show that the proposed system provides good performance of accuracy with average of 99% for the tested X-ray images. As for future work, the system can be further improved by using more measurement points between the two neighboring vertebras.

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.
Pages36-40
Number of pages5
ISBN (Print)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

X rays
Image enhancement
Image quality
Feature extraction
Bone
Backpropagation
Image segmentation
Screening
Neural networks
Imaging techniques
Testing

Keywords

  • cervical vertebrae
  • disc space narrowing
  • Image processing
  • X-ray image

ASJC Scopus subject areas

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

Cite this

Samanu, N. S., Zulkifley, M. A., & Hussain, A. (2016). Semi-automatic spine extraction for disc space narrowing diagnosis. In Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015 (pp. 36-40). [7380810] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELECSYM.2015.7380810

Semi-automatic spine extraction for disc space narrowing diagnosis. / Samanu, Nur Syazwani; Zulkifley, Mohd Asyraf; Hussain, Aini.

Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. Institute of Electrical and Electronics Engineers Inc., 2016. p. 36-40 7380810.

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

Samanu, NS, Zulkifley, MA & Hussain, A 2016, Semi-automatic spine extraction for disc space narrowing diagnosis. in Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015., 7380810, Institute of Electrical and Electronics Engineers Inc., pp. 36-40, 17th International Electronics Symposium, IES 2015, Surabaya, Indonesia, 29/9/15. https://doi.org/10.1109/ELECSYM.2015.7380810
Samanu NS, Zulkifley MA, Hussain A. Semi-automatic spine extraction for disc space narrowing diagnosis. In Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 36-40. 7380810 https://doi.org/10.1109/ELECSYM.2015.7380810
Samanu, Nur Syazwani ; Zulkifley, Mohd Asyraf ; Hussain, Aini. / Semi-automatic spine extraction for disc space narrowing diagnosis. Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 36-40
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