Myocardial tagging and strain analysis at 3 Tesla: Comparison with 1.5 Tesla imaging

V. Uma Valeti, Wookjin Chun, Donald D. Potter, Philip A. Araoz, Kiaran P. McGee, James F. Glockner, Timothy F. Christian

Research output: Contribution to journalArticlepeer-review

38 Scopus citations


Purpose: To determine whether imaging at 3 T could improve and prolong the tag contrast compared to images acquired at 1.5 T in normal volunteers, and whether such improvement would translate into the ability to perform strain measurements in diastole. Materials and Methods: Normal volunteers (N = 13) were scanned at 1.5 T (GE Signa CV/i) and 3.0 T (GE VH/i). An ECG-triggered, segmented k-space, spoiled-gradient-echo grid-tagged sequence was used during cine acquisition. Tag contrast was determined by the difference of the mean signal intensity (SI) of the tagline to the mean SI of the myocardium divided by the standard deviation (SD) of the noise (CNRtag). Matched short-axis (SA) slices were analyzed. Strain measurements were performed on images using a 2D strain analysis software program (harmonic phase (HARP)). Results: The average CNRtag over the cardiac cycle was superior at 3 T compared to 1.5 T for all slices (3 T: 23.4 ± 12.1, 1.5 T: 9.8 ± 8.4; P < 0.0001). This difference remained significant at cycle initiation, end-systole, and the end R-R interval (at cycle termination: 3T = 14.0 ± 11.0 vs. 1.5 T = 4.4 ± 3.5; P < 0.01). Strain measures were obtainable only in early systole for 1.5 T images, but were robust throughout the entire R-R interval for 3 T images. Conclusion: Imaging at 3 T had a significant benefit for myocardial tag persistence through the cardiac cycle. The improvement allowed strain analysis to be performed into diastole.

Original languageEnglish (US)
Pages (from-to)477-480
Number of pages4
JournalJournal of Magnetic Resonance Imaging
Issue number4
StatePublished - Apr 2006


  • High field imaging
  • Magnetic resonance
  • Myocardial strain
  • Noninvasive imaging
  • Ventricular function

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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