Incompressible cardiac motion estimation of the left ventricle using tagged MR images

  • Liu X
  • Abd-Elmoniem K
  • Prince J
  • 1


    Mendeley users who have this article in their library.
  • N/A


    Citations of this article.


Interpolation from sparse imaging data is typically required to achieve dense, three-dimensional quantification of left ventricular function. Although the heart muscle is known to be incompressible, this fact is ignored by most previous approaches that address this problem. In this paper, we present a method to reconstruct a dense representation of the three-dimensional, incompressible deformation of the left ventricle from tagged MR images acquired in both short-axis and long axis orientations. The approach applies a smoothing, divergence-free, vector spline to interpolate velocity fields at intermediate discrete times such that the collection of velocity fields integrate over time to match the observed displacement components. Through this process, the method yields a dense estimate of a displacement field that matches our observations and also corresponds to an incompressible motion.

Author-supplied keywords

  • Cardiovascular
  • Cine
  • Cine: methods
  • Computer Simulation
  • Computer-Assisted
  • Computer-Assisted: methods
  • Heart Ventricles
  • Heart Ventricles: anatomy & histology
  • Humans
  • Image Enhancement
  • Image Enhancement: methods
  • Image Interpretation
  • Imaging
  • Left
  • Magnetic Resonance Imaging
  • Models
  • Motion
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Three-Dimensional
  • Three-Dimensional: methods
  • Ventricular Function

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

  • PMID: 20426129


  • X Liu

  • K Z Abd-Elmoniem

  • J L Prince

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free