Quantification and visualization of the 3D nonrigid motion of the left ventricle

Jinah Park, Dimitri N. Metaxas, Leon Axel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

A novel algorithm to combine two orthogonal sets of planar motion was implemented to estimate the full 3D motion. We also developed a comprehensive method for visualizing the motion of left ventricle (LV) and for comparing normal and abnormal hearts in a way that is readily understood by a clinician. The methods included plotting parameter graphs, coloring techniques, tracking the motion paths of points on the LV, and video sequences displaying the nonrigid motion of the LV using standard SGI (Mountain View, CA) hardware. We applied our models to datasets obtained by MR tagging method known as SPAMM (Spatial Modulation of Magnetization). By plotting the variation over time the extracted LV model parameters, we were able to quantitatively analyze, localize, and compare the epicardial and endocardial motion. The results demonstrate that the proposed technique for estimating the 3D left ventricular wall motion provides useful visualization and quantitative motion analysis of the LV throughout its volume.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages298-308
Number of pages11
ISBN (Print)0819424447
StatePublished - 1997
Externally publishedYes
EventMedical Imaging 1997: Physiology and Function from Multidimensional Images - Newport Beach, CA, USA
Duration: Feb 23 1997Feb 25 1997

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume3033
ISSN (Print)0277-786X

Other

OtherMedical Imaging 1997: Physiology and Function from Multidimensional Images
CityNewport Beach, CA, USA
Period2/23/972/25/97

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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