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Assessment of Separation of Functional Components with ICA from Dynamic Cardiac Perfusion PET Phantom Images for Volume Extraction with Deformable Surface Models

  • Anu Juslin
  • Anthonin Reilhac
  • Margarita Magadán-Méndez
  • Edisson Albán
  • Jussi Tohka
  • Ulla Ruotsalainen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3504)

Abstract

We evaluated applicability of ICA (Independent Component Analysis) for the separation of functional components from H \(_{\rm 2}^{\rm 15}\) O PET (Positron Emission Tomography) cardiac images. The effects of varying myocardial perfusion to the separation results were investigated using a dynamic 2D numerical phantom. The effects of motion in cardiac region were studied using a dynamic 3D phantom. In this 3D phantom, the anatomy and the motion of the heart were simulated based on the MCAT (Mathematical Cardiac Torso) phantom and the image acquisition process was simulated with the PET SORTEO Monte Carlo simulator. With ICA, it was possible to separate the right and left ventricles in the all tests, even with large motion of the heart. In addition, we extracted the ventricle volumes from the ICA component images using the Deformable Surface Model based on Dual Surface Minimization (DM-DSM). In the future our aim is to use the extracted volumes for movement correction.

Keywords

Positron Emission Tomography Independent Component Analysis Blood Pool Independent Component Analysis Volume Extraction 
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 2005

Authors and Affiliations

  • Anu Juslin
    • 1
  • Anthonin Reilhac
    • 2
  • Margarita Magadán-Méndez
    • 1
  • Edisson Albán
    • 1
  • Jussi Tohka
    • 1
    • 3
  • Ulla Ruotsalainen
    • 1
  1. 1.Institute of Signal ProcessingTampere University of TechnologyTampereFinland
  2. 2.McConnell Brain Imaging CentreMontreal Neurological InstituteMontrealCanada
  3. 3.Laboratory of Neuro Imaging, Division of Brain Mapping, Department of NeurologyUCLA, School of MedicineLos AngelesUSA

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