Application of skeletonization algorithms for myocardial spect quantification

  • Didier Scellier
  • Jean-Yves Boire
  • Cyril Thouly
  • Jean Maublant
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1176)


Defect quantification is an important topic in myocardial SPECT. It can be achieved properly only with an automatic and reproducible processing. We propose a new approach lying on the application of discrete geometry and of two aspects of mathematical morphology, namely, skeletonization and segmentation. The properties of the skeleton are essential for carrying out segmentation, which uses many sights of uncertain's theory (fuzzy logic). We present the basis of this application with an in-depth analysis of various methods of skeletonization.

Key words

Skeleton fuzzy logic segmentation scintigraphy 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Didier Scellier
    • 1
  • Jean-Yves Boire
    • 1
  • Cyril Thouly
    • 2
  • Jean Maublant
    • 2
  1. 1.ERIMClermont-Ferrand, cedexFrance
  2. 2.Médecine NucléaireCentre Jean PerrinClermont-FerrandFrance

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