Computer aided diagnosis of degenerative intervertebral disc diseases from lumbar MR images

Oktay A. B., Albayrak N. B., Akgul Y. S.

COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, vol.38, no.7, pp.613-619, 2014 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 38 Issue: 7
  • Publication Date: 2014
  • Doi Number: 10.1016/j.compmedimag.2014.04.006
  • Journal Name: COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.613-619
  • Keywords: Degenerative disc disease, Machine learning, Intervertebral disc, Herniation, Desiccation, Degeneration, Computer aided diagnosis, Lumbar, HERNIATION, FEATURES, SHAPE
  • Yıldız Technical University Affiliated: No

Abstract

This paper presents a novel method for the automated diagnosis of the degenerative intervertebral disc disease in midsagittal MR images. The approach is based on combining distinct disc features under a machine learning framework. The discs in the lumbar MR images are first localized and segmented. Then, intensity, shape, context, and texture features of the discs are extracted with various techniques. A Support Vector Machine classifier is applied to classify the discs as normal or degenerated. The method is tested and validated on a clinical lumbar spine dataset containing 102 subjects and the results are comparable to the state of the art. (C) 2014 Elsevier Ltd. All rights reserved.