Adaptive postprocessing techniques for myocardial tissue tracking with displacement-encoded MR imaging.


Journal Article

UNLABELLED: The purpose of this study was to prospectively assess the effects of two adaptive postprocessing techniques on the evaluation of myocardial function with displacement-encoded magnetic resonance (MR) imaging, including sensitivity for abnormal wall motion, with two-dimensional echocardiography as the reference standard. Sixteen patients (11 men, five women; age range, 26-74 years) and 12 volunteers (six men, six women; age range, 29-53 years) underwent breath-hold MR imaging. Institutional review board approval and informed consent were obtained. Adaptive phase-unwrapping and spatial filtering techniques were compared with conventional phase-unwrapping and spatial filtering techniques. Use of the adaptive techniques led to a reduced rate of failure with the phase-unwrapping technique from 18.9% to 0.6% (P < .001), resulted in lower variability of segmental strain measurements among healthy volunteers (P < .001 to P = .02), and increased the sensitivity of quantitative detection of abnormal segments in patients from 82.5% to 87.7% (P = .034). The adaptive techniques improved the semiautomated postprocessing of displacement-encoded cardiac images and increased the sensitivity of detection of abnormal wall motion in patients. SUPPLEMENTAL MATERIAL:

Full Text

Duke Authors

Cited Authors

  • Wen, H; Marsolo, KA; Bennett, EE; Kutten, KS; Lewis, RP; Lipps, DB; Epstein, ND; Plehn, JF; Croisille, P

Published Date

  • January 2008

Published In

Volume / Issue

  • 246 / 1

Start / End Page

  • 229 - 240

PubMed ID

  • 18096537

Pubmed Central ID

  • 18096537

Electronic International Standard Serial Number (EISSN)

  • 1527-1315

Digital Object Identifier (DOI)

  • 10.1148/radiol.2461070053


  • eng

Conference Location

  • United States