A Novel T-CAD Framework to Support Medical Image Analysis and Reconstruction

  • Danilo Avola
  • Luigi Cinque
  • Marco Di Girolamo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6979)

Abstract

The current medical imaging devices allow to obtain high resolution digital images with a complex informative content expressed by the textural skin that covers organs and tissues (hereinafter objects). These textural information can be exploited to develop a descriptive mathematical model of the objects by which to support heterogeneous activities within the medical field.

This paper describes our developed framework based on the texture analysis by which to mathematically model every object contained in the layout of the total body NMR images. By every specific model, the framework automatically also defines a connected application which supports, on the related object, different fixed targets, such as: segmentation, mass detection, reconstruction, and so on.

Keywords

Framework CAD medical image texture analysis pattern recognition feature extraction segmentation classification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Danilo Avola
    • 1
  • Luigi Cinque
    • 1
  • Marco Di Girolamo
    • 2
  1. 1.Department of Computer ScienceSapienza University of RomeRomeItaly
  2. 2.S.Andrea Hospital, Department of Diagnostic ScienceSapienza University of RomeRomeItaly

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