Watershed segmentation of high resolution magnetic resonance images of articular cartilage of the knee

S. Ghosh, O. Beuf, M. Ries, Nancy E Lane, L. S. Steinbach, T. M. Link, S. Majumdar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

Abstract

High-resolution in-vivo Magnetic Resonance Imaging (MRI) can be used effectively to determine variation in cartilage morphometry - a crucial parameter for assessment of osteoarthritis. Segmentation of cartilage from surrounding tissues is a necessary preliminary step to the quantitation process. In this in-vivo study we implement the immersion based watershed algorithm to develop a novel and reliable cartilage segmentation technique. The protocol has been successfully applied to determine morphometric differences among normal, mild and severe osteoarthritic patient populations.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
EditorsJ.D. Enderle
Pages3174-3176
Number of pages3
Volume4
StatePublished - 2000
Event22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Chicago, IL, United States
Duration: Jul 23 2000Jul 28 2000

Other

Other22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CountryUnited States
CityChicago, IL
Period7/23/007/28/00

Keywords

  • Articular cartilage
  • Image segmentation
  • Magnetic resonance imaging
  • Watershed algorithm

ASJC Scopus subject areas

  • Bioengineering

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  • Cite this

    Ghosh, S., Beuf, O., Ries, M., Lane, N. E., Steinbach, L. S., Link, T. M., & Majumdar, S. (2000). Watershed segmentation of high resolution magnetic resonance images of articular cartilage of the knee. In J. D. Enderle (Ed.), Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 4, pp. 3174-3176)