ASM Driven Snakes in Rheumatoid Arthritis Assessment

  • Georg Langs
  • Philipp Peloschek
  • Horst Bischof
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)


In this paper a method is proposed that combines active shape models (ASM) and active contours (snakes) in order to identify fine structured contours with high accuracy and stability. Based on an estimate of the contour position by an active shape model the accuracy of the landmarks and the contour in between is enhanced by applying an iterative active contour algorithm to a set of gray value profiles extracted orthogonally to the interpolation obtained by the ASM. The active shape model is trained with a set of training shapes, whereas the snake detects the contour with fewer constraints. This is of particular importance for the assessment of pathological changes of bones like erosive destructions caused by rheumatoid arthritis.


Active Contour Active Shape Model Landmark Position Hand Radiograph Bone Contour 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Georg Langs
    • 1
  • Philipp Peloschek
    • 2
  • Horst Bischof
    • 3
  1. 1.Pattern Recognition and Image Processing Group 183/2Vienna University of TechnologyViennaAustria
  2. 2.Department of Diagnostic RadiologyUniversity of ViennaViennaAustria
  3. 3.Institute for Computer Graphics and VisionTU GrazGrazAustria

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