Opening book details…
Can I read Signal-to-noise Ratio Behavior of Steady-state Free Precession on EtoBox?
Signal-to-noise Ratio Behavior of Steady-state Free Precession by Scott B. Reeder; Daniel A. Herzka; Elliot R. McVeigh is a Medicine article available to read on EtoBox.
What is Signal-to-noise Ratio Behavior of Steady-state Free Precession about?
Steady-state free precession (SSFP) is a rapid gradient-echo imaging technique that has recently gained popularity and is used in a variety of applications, including cardiac and real-time imaging, because of its high signal and favorable contrast between blood and myocardium. The purpose of this work was to examine the signal-to-noise ratio (SNR) behavior of images acquired with SSFP, and the dependence of SNR on imaging parameters such as TR, bandwidth, and image resolution, and the use of multi-echo sequences. In this work it is shown that the SNR of SSFP sequences is dependent only on pulse sequence efficiency, voxel dimensions, and relaxation parameters (T1 and T2). Notably, SNR is insensitive to bandwidth unless increases in bandwidth significantly decrease efficiency. Finally, we examined the relationship between pulse sequence performance (TR and efficiency) and gradient performance (maximum gradient strength and slew rate) for several imaging scenarios, including multi-echo sequences, to determine the optimum matching of maximum gradient strength and slew rate for gradient hardware designs. For standard modern gradient hardware (40 mT/m and 150 mT/m/ms), we found that the
Who reads Signal-to-noise Ratio Behavior of Steady-state Free Precession?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Scott B. Reeder; Daniel A. Herzka; Elliot R. McVeigh
- Publisher
- John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0740-3194)
- Published
- 2004
- Language
- EN
- Field
- Medicine (Health Sciences)
More by Scott B. Reeder; Daniel A. Herzka; Elliot R. McVeigh
Browse all works by Scott B. Reeder; Daniel A. Herzka; Elliot R. McVeigh