Double-edge detection of radiographic lumbar vertebrae images using pressurized open DGVF snakes

Sridharan Kamalakannan, Arunkumar Gururajan, Hamed Sari-Sarraf, Rodney Long, Sameer Antani

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

The detection of double edges in X-ray images of lumbar vertebrae is of prime importance in the assessment of vertebral injury or collapse that may be caused by osteoporosis and other spine pathology. In addition, if the above double-edge detection process is conducted within an automatic framework, it would not only facilitate inexpensive and fast means of obtaining objective morphometric measurements on the spine, but also remove the human subjectivity involved in the morphometric analysis. This paper proposes a novel force-formulation scheme, termed as pressurized open directional gradient vector flow snakes, to discriminate and detect the superior and inferior double edges present in the radiographic images of the lumbar vertebrae. As part of the validation process, this algorithm is applied to a set of 100 lumbar images and the detection results are quantified using analyst-generated ground truth. The promising nature of the detection results bears testimony to the efficacy of the proposed approach.

Original languageEnglish
Article number5415616
Pages (from-to)1325-1334
Number of pages10
JournalIEEE Transactions on Biomedical Engineering
Volume57
Issue number6
DOIs
StatePublished - Jun 2010

Keywords

  • Directional gradient vector flow (DGVF) snakes
  • Double edges
  • Energy minimization
  • Lumbar vertebrae
  • Pressure force

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