Automated motion evaluation of left ventricular tissue from grid tagged MR images

Yeaser M. Ibrahim, Michael P Chwialkowski, Dennis P Pfeifer, Geoffrey Clarke, Jose Paraga, Ronald M Peshock

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

2 Scopus citations

Abstract

Analysis of the left ventricular function requires accurate evaluation of segmental left ventricular wall motion. Magnetic Resonance Imaging (MRI) with magnetic tagging provides a means of determining absolute myocardial wall motion by labeling the myocardium. Manual analysis of the images is not only time consuming, but also suffers from human errors related to fatigue. In this paper we present a method to automatically track the motion of the left ventricular wall using grid-tagged MR images.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages168-169
Number of pages2
Editionpt 1
ISBN (Print)0780313771
StatePublished - Dec 1 1993
EventProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, CA, USA
Duration: Oct 28 1993Oct 31 1993

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
Volume15
ISSN (Print)0589-1019

Other

OtherProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CitySan Diego, CA, USA
Period10/28/9310/31/93

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint Dive into the research topics of 'Automated motion evaluation of left ventricular tissue from grid tagged MR images'. Together they form a unique fingerprint.

Cite this