Shape based image retrieval system for MRI spine

C. S. Ling, Wan Mimi Diyana Wan Zaki, Aini Hussain, W. Siti Halimatul Munirah W. Ahmad, Wong Erica Yee Hing

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

2 Citations (Scopus)

Abstract

Image retrieval system (IRS) is a searching system that uses certain characteristics or context in an image. In the medical field, the IRS has been used to provide the needed correct images to the physicians while the diagnosis and treatment process is being conducted. In this paper, the research focus is on content-based IRS. In content-based IRS, two phases are discussed: feature extraction and selection, and the retrieval phase. The feature extraction technique is based on global shape descriptor (GSD), Hu moment invariant (Hu) and Fourier descriptor (FD) while the feature selection technique uses analysis of variance (ANOVA). The retrieval phase is implemented with the new feature vector formed and the performance is evaluated using four distance metrics namely Euclidean (E), Manhattan (M), Normalized Euclidean (NE) and Normalized Manhattan (NM). The experiment for CBIRS is performed on 100 MRI human spine images for each thoracic, lumbar and sacrum. The retrieval performances gave the best result for NM in retrieving the lumbar bones which the precision is up to 91.1%.

Original languageEnglish
Title of host publicationProceedings of the 2017 6th International Conference on Electrical Engineering and Informatics
Subtitle of host publicationSustainable Society Through Digital Innovation, ICEEI 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
Volume2017-November
ISBN (Electronic)9781538604755
DOIs
Publication statusPublished - 9 Mar 2018
Event6th International Conference on Electrical Engineering and Informatics, ICEEI 2017 - Langkawi, Malaysia
Duration: 25 Nov 201727 Nov 2017

Other

Other6th International Conference on Electrical Engineering and Informatics, ICEEI 2017
CountryMalaysia
CityLangkawi
Period25/11/1727/11/17

Fingerprint

Sacrum
Spine
Image retrieval
Image Retrieval
Magnetic resonance imaging
Feature extraction
Analysis of Variance
Thorax
Physicians
Bone and Bones
Phase Retrieval
Research
Content-based Image Retrieval
Feature Selection
Feature Extraction
Euclidean
Fourier Descriptors
Moment Invariants
Therapeutics
Analysis of variance (ANOVA)

Keywords

  • ANOVA
  • content-based
  • image retrieval
  • lumbar
  • sacrum
  • spine
  • thoracic

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Software
  • Electrical and Electronic Engineering
  • Health Informatics

Cite this

Ling, C. S., Wan Zaki, W. M. D., Hussain, A., Ahmad, W. S. H. M. W., & Erica Yee Hing, W. (2018). Shape based image retrieval system for MRI spine. In Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017 (Vol. 2017-November, pp. 1-6). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEEI.2017.8312408

Shape based image retrieval system for MRI spine. / Ling, C. S.; Wan Zaki, Wan Mimi Diyana; Hussain, Aini; Ahmad, W. Siti Halimatul Munirah W.; Erica Yee Hing, Wong.

Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-6.

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

Ling, CS, Wan Zaki, WMD, Hussain, A, Ahmad, WSHMW & Erica Yee Hing, W 2018, Shape based image retrieval system for MRI spine. in Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. vol. 2017-November, Institute of Electrical and Electronics Engineers Inc., pp. 1-6, 6th International Conference on Electrical Engineering and Informatics, ICEEI 2017, Langkawi, Malaysia, 25/11/17. https://doi.org/10.1109/ICEEI.2017.8312408
Ling CS, Wan Zaki WMD, Hussain A, Ahmad WSHMW, Erica Yee Hing W. Shape based image retrieval system for MRI spine. In Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-6 https://doi.org/10.1109/ICEEI.2017.8312408
Ling, C. S. ; Wan Zaki, Wan Mimi Diyana ; Hussain, Aini ; Ahmad, W. Siti Halimatul Munirah W. ; Erica Yee Hing, Wong. / Shape based image retrieval system for MRI spine. Proceedings of the 2017 6th International Conference on Electrical Engineering and Informatics: Sustainable Society Through Digital Innovation, ICEEI 2017. Vol. 2017-November Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-6
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