Automatic quantification of spinal curvature in scoliotic radiograph using image processing

H. Anitha, G. K. Prabhu

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Choosing the most suitable treatment for the scoliosis relies heavily on accurate and reproducible spinal curvature measurement from radiographs. Our objective is to reduce the variability in spinal curvature measurement by reducing the user intervention and bias. In order to determine the reliability of the spinal curvature measurement as it is in the clinical measurement of scoliosis a methodological survey has been carried out that concludes with inter and intra observer error variation. The proposed method list out horizontal inclination of all the vertebrae's in terms of slopes using active contour models and morphological operators. This facilitates the radiologist to decide end vertebrae and hence inter/intra observer variation is completely eliminated. Tables 1 and 2 shows the observer error variation between manual and proposed methods in terms of mean and standard deviation.

Original languageEnglish
Pages (from-to)1943-1951
Number of pages9
JournalJournal of Medical Systems
Volume36
Issue number3
DOIs
Publication statusPublished - 06-2012

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Spinal Curvatures
Observer Variation
Image processing
Scoliosis
Spine

All Science Journal Classification (ASJC) codes

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Health Information Management

Cite this

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Automatic quantification of spinal curvature in scoliotic radiograph using image processing. / Anitha, H.; Prabhu, G. K.

In: Journal of Medical Systems, Vol. 36, No. 3, 06.2012, p. 1943-1951.

Research output: Contribution to journalArticle

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