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

Xiaofeng Liu, Khaled Z. Abd-Elmoniem, Jerry Ladd Prince

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish (US)
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages331-338
Number of pages8
Volume12
EditionPt 2
StatePublished - 2009

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Heart Ventricles
Left Ventricular Function
Myocardium

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Liu, X., Abd-Elmoniem, K. Z., & Prince, J. L. (2009). Incompressible cardiac motion estimation of the left ventricle using tagged MR images. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 2 ed., Vol. 12, pp. 331-338)

Incompressible cardiac motion estimation of the left ventricle using tagged MR images. / Liu, Xiaofeng; Abd-Elmoniem, Khaled Z.; Prince, Jerry Ladd.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 12 Pt 2. ed. 2009. p. 331-338.

Research output: Chapter in Book/Report/Conference proceedingChapter

Liu, X, Abd-Elmoniem, KZ & Prince, JL 2009, Incompressible cardiac motion estimation of the left ventricle using tagged MR images. in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 2 edn, vol. 12, pp. 331-338.
Liu X, Abd-Elmoniem KZ, Prince JL. Incompressible cardiac motion estimation of the left ventricle using tagged MR images. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 2 ed. Vol. 12. 2009. p. 331-338
Liu, Xiaofeng ; Abd-Elmoniem, Khaled Z. ; Prince, Jerry Ladd. / Incompressible cardiac motion estimation of the left ventricle using tagged MR images. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 12 Pt 2. ed. 2009. pp. 331-338
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