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Reconstruction of Coronary Trees from 3DRA Using a 3D+t Statistical Cardiac Prior

  • Serkan Çimen
  • Corné Hoogendoorn
  • Paul D. Morris
  • Julian Gunn
  • Alejandro F. Frangi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8674)

Abstract

A 3D+t description of the coronary tree is important for diagnosis of coronary artery disease and therapy planning. In this paper, we propose a method for finding 3D+t points on coronary artery tree given tracked 2D+t point locations in X-ray rotational angiography images. In order to cope with the ill-posedness of the problem, we use a bilinear model of ventricle as a spatio-temporal constraint on the nonrigid structure of the coronary artery. Based on an energy minimization formulation, we estimate i) bilinear model parameters, ii) global rigid transformation between model and X-ray coordinate systems, and iii) correspondences between 2D coronary artery points on X-ray images and 3D points on bilinear model. We validated the algorithm using a software coronary artery phantom.

Keywords

Cardiac Phasis Landmark Point Bilinear Model Coronary Artery Tree Gaussian Cluster 
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 International Publishing Switzerland 2014

Authors and Affiliations

  • Serkan Çimen
    • 1
  • Corné Hoogendoorn
    • 2
  • Paul D. Morris
    • 3
  • Julian Gunn
    • 3
  • Alejandro F. Frangi
    • 1
  1. 1.Center for Computational Imaging & Simulation Technologies in Biomedicine (CISTIB)University of SheffieldSheffieldUnited Kingdom
  2. 2.CISTIBUniversitat Pompeu Fabra and CIBER-BBNBarcelonaSpain
  3. 3.Department of Cardiovascular ScienceUniversity of SheffieldSheffieldUnited Kingdom

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