Interactive Thickness Visualization of Articular Cartilage

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • COMRADE: Colonoscopic and Orthopaedic Magnetic Resonance Analysis, Diagnosis and Evaluation
• Date: October 2004
• Booktitle: Proceedings of Visualization 2004
• Pages: 521 – 527
• Keywords: visualization in medicine, applications of visualization

Abstract

This paper describes a method to visualize the thickness of curved thin objects. Given the MRI volume data of articular cartilage, medical doctors investigate pathological changes of the thickness. Since the tissue is very thin, it is impossible to reliably map the thickness information by direct volume rendering. Our idea is based on unfolding of such structures preserving their thickness. This allows to perform anisotropic geometrical operations (e.g., scaling the thickness). However, flattening of a curved structure implies a distortion of its surface. The distortion problem is alleviated through a focus-and-context minimization approach. Distortion is smallest close to a focal point which can be interactively selected by the user.

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BibTeX

@inproceedings{Mlejnek-2004-ITVAC,
  title =      "Interactive Thickness Visualization of Articular Cartilage",
  author =     "Matej Mlejnek and Anna Vilanova i Bartroli and Eduard
               Gr\"{o}ller",
  year =       "2004",
  abstract =   "This paper describes a method to visualize the thickness of
               curved thin objects. Given the MRI volume data of articular
               cartilage, medical doctors investigate pathological changes
               of the thickness. Since the tissue is very thin, it is
               impossible to reliably map the thickness information by
               direct volume rendering. Our idea is based on unfolding of
               such structures preserving their thickness. This allows to
               perform anisotropic geometrical operations (e.g., scaling
               the thickness). However, flattening of a curved structure
               implies a distortion of its surface. The distortion problem
               is alleviated through a focus-and-context minimization
               approach. Distortion is smallest close to a focal point
               which can be interactively selected by the user.",
  month =      oct,
  booktitle =  "Proceedings of  Visualization 2004",
  pages =      "521--527",
  keywords =   "visualization in medicine, applications of visualization",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2004/Mlejnek-2004-ITVAC/",
}