Automatic spinal disease diagnoses assisted by 3D unaligned transverse CT slices

Ming Dar Tsai, Yi Der Yeh, Ming Shium Hsieh, Chiung Hsin Tsai

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)


This paper describes a three-dimensional (3D) reconstruction method and an automatic diagnosis method for spinal diseases using unaligned transverse slices that have arbitrary angles and intervals but do not intersect to each other at regions of interest. The 3D reconstruction method extends the marching cube algorithm to generate triangulated isosurfaces for these unaligned slices. The automatic spinal disease diagnostic method analyses boundaries of discs and vertebral bodies on unaligned transverse slices to estimate the presence and extent of disc herniation and canal compression, and deformities in the spinal curve. The prototype system can be used as a qualitative and quantitative tool for the diagnosis of various spinal diseases using unaligned transverse slices.

Original languageEnglish
Pages (from-to)307-319
Number of pages13
JournalComputerized Medical Imaging and Graphics
Issue number6
Publication statusPublished - Sept 2004


  • 3D reconstruction
  • Feature recognition
  • Image analysis
  • Spinal disease diagnosis
  • Transverse unaligned slice

ASJC Scopus subject areas

  • Computer Science Applications
  • Radiology Nuclear Medicine and imaging


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