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Computer Aided Detection of Spinal Degenerative Osteophytes on Sodium Fluoride PET/CT

  • Jianhua YaoEmail author
  • Hector Munoz
  • Joseph E. Burns
  • Le Lu
  • Ronald M. Summers
Conference paper
Part of the Lecture Notes in Computational Vision and Biomechanics book series (LNCVB, volume 17)

Abstract

Osteophytes, a common degenerative change in the spine, are found in 90 % of the population over 60 years of age. We have developed an automated system to detect and assess spinal osteophytes on \(^{18}\)F-sodium fluoride (\(^{18}\)F-NaF) PET/CT studies. We first segment the cortical shell of the vertebral body and unwrap it to a 2D map. Multiple characteristic features derived from PET/CT images are then projected onto the map. Finally, we adopt a three-tier learning based scheme to compute a confidence map and detect osteophyte sites and clusters. The system was tested on 20 studies (10 training and 10 testing) and achieved 84 % sensitivity at 3.8 false positives per case for the training set, and 82 % sensitivity at a 4.7 false positive rate for the testing set.

Keywords

Vertebral Body Nucleus Pulposus Degenerative Disc Disease Cortical Shell Circumferential Location 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported by the Intramural Research Program at National Institutes of Health, Clinical Center.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jianhua Yao
    • 1
    Email author
  • Hector Munoz
    • 1
  • Joseph E. Burns
    • 2
  • Le Lu
    • 1
  • Ronald M. Summers
    • 1
  1. 1.Radiology and Imaging Sciences DepartmentClinical Center National Institutes of HealthBethesdaUSA
  2. 2.Department of Radiological SciencesUniversity of California, Irvine School of MedicineOrangeUSA

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