Multiscale representation for automatic identification of structures in medical images

  • Authors:
  • M. S. Rebelo;S. S. Furuie;M. A. Gutierrez;E. T. Costa;L. A. Moura

  • Affiliations:
  • Heart Institute (InCor), University of Sao Paulo Medical School, Sao Paulo, Brazil and DEB/FEEC/Unicamp, Campinas, Brazil;Heart Institute (InCor), University of Sao Paulo Medical School, Sao Paulo, Brazil;Heart Institute (InCor), University of Sao Paulo Medical School, Sao Paulo, Brazil;DEB/FEEC/Unicamp, Campinas, Brazil and CEB/Unicamp, Campinas, Brazil;Atech-Vidatis, Sao Paulo, Brazil

  • Venue:
  • Computers in Biology and Medicine
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The identification of structures is a key step in several applications of medical imaging. In this work we propose a method for the identification of structures using a multiscale approach with inclusion of a priori information about the searched objects. After describing the image structures in the multiscale representation, a matching step determines which structure most likely corresponds to the target. Patterns are generated by previous application of the method to a set of images. We present a prototype for identifying structures in 2D images. A set of experiments was carried out to evaluate the prototype leading to encouraging results.