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, cilt.38, sa.7, ss.613-619, 2014 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 38 Sayı: 7
  • Basım Tarihi: 2014
  • Doi Numarası: 10.1016/j.compmedimag.2014.04.006
  • Dergi Adı: COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.613-619
  • Anahtar Kelimeler: Degenerative disc disease, Machine learning, Intervertebral disc, Herniation, Desiccation, Degeneration, Computer aided diagnosis, Lumbar, HERNIATION, FEATURES, SHAPE
  • Yıldız Teknik Üniversitesi Adresli: Hayır

Özet

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.