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An Application for Dealing with Missing Data in Medical Images, with Application to Left Ventricle SPECT Data

  • Oscar Civit Flores
  • Isabel Navazo
  • Àlvar Vinacua
Conference paper
Part of the Mathematics and Visualization book series (MATHVISUAL)

Summary

When using data-capture methods designed to retrieve functional information, we may have incomplete morphological information in the presence of desease. This is specially so for SPECT data of an infarcted heart.

In this paper we present two techniques to deal with such missing data, appropriate for different scenarios. The first one reconstructs small infarcts that show as holes through the ventricle’s wall. This method uses two discrete elastic membranes that are deformed to wrap the myocardium without touching each other.

The second method handles cases where large portions of the heart are missing, by computing approximating ellipsoids to the walls of the myocardium, and filling the gaps.

Keywords

Single Photon Emission Compute Tomography Medical Image Active Contour Deformable Model Elastic Membrane 
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 2004

Authors and Affiliations

  • Oscar Civit Flores
    • 1
  • Isabel Navazo
    • 2
  • Àlvar Vinacua
    • 2
  1. 1.Departament de TecnologíaUniversitat Pompeu FabraBarcelonaSpain
  2. 2.Institut de Robòtica i Informàtica IndustrialUniversitat Politècnica de Catalunya Parc Tecnològic de Pedralbes, edifici UBarcelonaSpain

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