MR Tagging From a Signal Processing Perspective

Abstract

Although magnetic resonance (MR) tagging has been shown to be a useful tool in myocardial motion quantification, its clinical utilization is limited as current available methods generally either lack computational speed or require extensive user intervention. Recently, the harmonic phase imaging (HARP) technique has been proposed to look at the phase information of the tagged images. HARP imaging promises to overcome the limitations of existing methods in terms of both computational speed and automation. Motivated by this work, we present mathematical analysis providing a signal processing perspective on the HARP technique. This new perspective provides a clearer understanding of how tags can be accurately tracked using highly-filtered data.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411083

Entities

People

  • Craig A. Hamilton
  • Ersin Bayram
  • W. G. Hundley

Organizations

  • Wake Forest University

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Bandpass Filters
  • Computer Simulations
  • Computers
  • Data Analysis
  • Discrete Fourier Transforms
  • Engineering
  • Filters
  • Filtration
  • Frequency
  • Internal Medicine
  • Magnetic Resonance
  • Mathematical Analysis
  • Medical Engineering
  • Signal Processing
  • Spectra
  • Two Dimensional

Readers

  • Medical Imaging.
  • Parallel and Distributed Computing.
  • Systems Analysis and Design