Automatic diagnosis of lumbar disc herniation with shape and appearance features from MRI

Raja S. Alomari, Jason J. Corso, Vipin Chaudhary, Gurmeet Dhillon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

29 Scopus citations

Abstract

Intervertebral disc herniation is a major reason for lower back pain (LBP), which is the second most common neurological ailment in the United States. Automation of herniated disc diagnosis reduces the large burden on radiologists who have to diagnose hundreds of cases each day using clinical MRI. We present a method for automatic diagnosis of lumbar disc herniation using appearance and shape features. We jointly use the intensity signal for modeling the appearance of herniated disc and the active shape model for modeling the shape of herniated disc. We utilize a Gibbs distribution for classification of discs using appearance and shape features. We use 33 clinical MRI cases of the lumbar area for training and testing both appearance and shape models. We achieve over 91% accuracy in detection of herniation in a cross-validation experiment with specificity of 91% and sensitivity of 94%.

Original languageEnglish
Title of host publicationMedical Imaging 2010
Subtitle of host publicationComputer-Aided Diagnosis
EditorsRonald M. Summers, Nico Karssemeijer
ISBN (Electronic)9780819480255
DOIs
StatePublished - 2010
EventMedical Imaging 2010: Computer-Aided Diagnosis - San Diego, United States
Duration: 16 Feb 201018 Feb 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7624
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2010: Computer-Aided Diagnosis
Country/TerritoryUnited States
CitySan Diego
Period16/02/1018/02/10

Keywords

  • Computer Aided Diagnosis
  • Herniation
  • Lumbar Spine
  • MRI

Fingerprint

Dive into the research topics of 'Automatic diagnosis of lumbar disc herniation with shape and appearance features from MRI'. Together they form a unique fingerprint.

Cite this