Interactive cardiac image analysis for biventricular function of the human heart

  • Authors:

  • Hoi-Ieng Lam;Brett R. Cowan;Martyn P. Nash;Alistair A. Young

  • Affiliations:

  • Auckland Bioengineering Institute, University of Auckland, New Zealand;Auckland MRI Research Group, University of Auckland, New Zealand;Auckland Bioengineering Institute, University of Auckland, New Zealand and Department of Engineering Science, University of Auckland, New Zealand;Auckland Bioengineering Institute, University of Auckland, New Zealand and Auckland MRI Research Group, University of Auckland, New Zealand

  • Venue:
  • STACOM'10/CESC'10 Proceedings of the First international conference on Statistical atlases and computational models of the heart, and international conference on Cardiac electrophysiological simulation challenge
  • Year:
  • 2010

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Abstract

We developed an interactive tool for biventricular function analysis from cardiac magnetic resonance (MR) images based on the guide point modelling (GPM) approach [1]. First we built a deformable model of both ventricles of the human heart which consisted of 138 nodes and 82 hexahedral elements, each with bicubic-Bézier-linear interpolation. The model was fitted to a digitized human data set for use as the prior shape in the GPM scheme, which we modified to have a 'predictor' step that used a host mesh fitting algorithm [2] to generate predicted points (PPs) based on the user-defined guide points (GPs). Then the model was fitted towards both GPs and PPs through linear least square minimization. The inclusion of the PPs significantly improved the numerical stability of the linear least square fit and significantly accelerated the solution time. This methodology requires further validation for future application in clinical biventricular analysis.