A technique for improving tag contrast persistence in SSFP MRI imaging using adaptive FLIP angle

El Sayed H. Ibrahim, Noel F. Osman

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

Abstract

Steady State Free Precession (SSFP) proved to be an efficient fast MR imaging technique due to its short acquisition time and high SNR. Myocardium tagging can be combined with SSFP, so that the deformation of tag lines allows for measurement of myocardial wall motion. However, at later imaging time, the tagging contrast deteriorates, which makes it harder to track the tag lines. We introduce a new technique that adaptively adjusts the flip angle at each RF pulse in order to keep the tagging contrast constant, and hence maintain the Tag Contrast to Noise Ratio (Tag-CNR) throughout the imaging period. A computer simulation was done to validate and compare between the tagging contrast with SSFP and that of Spoiled Gradient Echo (SPGR), where the tagging contrast is made constant during the cine sequences in both methods. Preliminary results show potential superiority of SSFP in yielding higher contrast than SPGR.

Original languageEnglish (US)
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationMacro to Nano
Pages1051-1054
Number of pages4
StatePublished - Dec 1 2004
Event2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States
Duration: Apr 15 2004Apr 18 2004

Publication series

Name2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume2

Other

Other2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
CountryUnited States
CityArlington, VA
Period4/15/044/18/04

ASJC Scopus subject areas

  • Engineering(all)

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    Ibrahim, E. S. H., & Osman, N. F. (2004). A technique for improving tag contrast persistence in SSFP MRI imaging using adaptive FLIP angle. In 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (pp. 1051-1054). (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol. 2).