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Statistical deformable models for cardiac Segmentation and Functional Analysis In Gated-Spect Studies

  • Catalina Tobon-Gomez
  • S. Ordas
  • A. F. Frangi
  • S. Aguade
  • J. Castell
Part of the Topics in Biomedical Engineering. International Book Series book series (ITBE)

This chapter describes the use of statistical deformable models for cardiac segmentation and functional analysis in Gated Single Positron Emission Computer Tomography (SPECT) perfusion studies. By means of a statistical deformable model, automatic delineations of the endo- and epicardial boundaries of the left ventricle (LV) are obtained, in all temporal phases and image slices of the dynamic study. Apriori spatio-temporal shape knowledge is captured from a training set of high-resolution manual delineations made on cine Magnetic Resonance (MR) studies. From the fitted shape, a truly 3D representation of the left ventricle, a series of functional parameters can be assessed, including LV volume–time curves, ejection fraction, and surface maps of myocardial perfusion, wall motion, thickness, and thickening. We present encouraging results of its application on a patient database that includes rest/rest studies with common cardiac pathologies, suggesting that statistical deformable models may serve as a robust and accurate technique for routine use.

Keywords

Single Photon Emission Compute Tomography Perfusion Defect Shape Model Color Version Appearance Model 
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 Science+Business Media, LLC 2007

Authors and Affiliations

  • Catalina Tobon-Gomez
    • 1
  • S. Ordas
    • 1
  • A. F. Frangi
    • 1
  • S. Aguade
    • 2
  • J. Castell
    • 2
  1. 1.Computational Imaging LaboratoryUniversitat Pompeu FabraBarcelonaSpain
  2. 2.Vall d' Hebron University HospitalBarcelonaSpain

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