Identification of apical vertebra for grading of idiopathic scoliosis using image processing

H. Anitha, G. K. Prabhu

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Scoliosis is a 3-D deformity of spinal column, characterized by both lateral curvature and vertebral rotation. The disease can be caused by congenital, developmental, or degenerative problems; but most cases of scoliosis actually have no known cause, and this is known as idiopathic scoliosis. Vertebral rotation has become increasingly prominent in the study of scoliosis and the most deformed vertebra is named as apical vertebra. Apical vertebral deformity demonstrates significance in both preoperative and postoperative assessment, providing better appreciation of the impact of bracing or surgical interventions. Precise measurement of apical vertebral rotation in terms of grading is most valuable for the determination of reference value in normal and pathological conditions for better understanding of scoliosis. Routine quantitative evaluation of vertebral rotation is difficult and error prone due to limitations of observer characteristic and specific imaging property. This paper proposes automatic identification of the apical vertebra and its parameter that depends on the objective criteria of measurement using active contour models. The proposed technique is more accurate and is a reliable measurement compared to manual and computer-assisted system.

Original languageEnglish
Pages (from-to)155-161
Number of pages7
JournalJournal of Digital Imaging
Volume25
Issue number1
DOIs
Publication statusPublished - 02-2012

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Scoliosis
Image processing
Spine
Computer Systems
Imaging techniques
Reference Values

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Cite this

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Identification of apical vertebra for grading of idiopathic scoliosis using image processing. / Anitha, H.; Prabhu, G. K.

In: Journal of Digital Imaging, Vol. 25, No. 1, 02.2012, p. 155-161.

Research output: Contribution to journalArticle

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