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ZHARP: Three-dimensional motion tracking from a single image plane

Research output: Contribution to journalConference articlepeer-review

Abstract

Three-dimensional imaging and quantification of myocardial function are essential steps in the evaluation of cardiac disease. We propose a tagged magnetic resonance imaging methodology called zHARP that encodes and automatically tracks myocardial displacement in three dimensions. Unlike other motion encoding techniques, zHARP encodes both in-plane and through-plane motion in a single image plane without affecting the acquisition speed. Postprocessing unravels this encoding in order to directly track the 3-D displacement of every point within the image plane throughout an entire image sequence. Experimental results include a phantom validation experiment, which compares zHARP to phase contrast imaging, and an in vivo study of a normal human volunteer. Results demonstrate that the simultaneous extraction of in-plane and through-plane displacements from tagged images is feasible.

Original languageEnglish (US)
Pages (from-to)639-651
Number of pages13
JournalLecture Notes in Computer Science
Volume3565
StatePublished - Oct 17 2005
Event19th International Conference on Information Processing in Medical Imaging, IPMI 2005 - Glenwood Springs, CO, United States
Duration: Jul 10 2005Jul 15 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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