Model-based image processing and analysis for fracture classification

A. Adami, K. Yang, X. Song, M. Pavel, D. Dirschl

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

We describe an approach toward improved classification of fractures in the vicinity of ankle joints using image-specific image enhancement and 3D modeling. The enhancement approach is based on the development of a set of linear features from x-ray images. The 3D models of fractures are used to determine the x-ray image representation from a fractured surface. These models are then used in reverse to find surface parameters that are most consistent with the 2D fracture representations.

Original languageEnglish (US)
Pages (from-to)2525-2526
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume3
StatePublished - 2002
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002

Keywords

  • Biomedical imaging
  • Fracture classification
  • Image segmentation

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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