## Abstract Noise properties, the signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), and signal responses were compared during functional activation of the human brain at 1.5 and 3.0 T. At the higher field spiral gradient‐echo (GRE) brain images revealed an average gain in SNR of 1.7 in fu
Comparison of spiral imaging and SENSE-EPI at 1.5 and 3.0 T using a controlled cerebrovascular challenge
✍ Scribed by Jeff D. Winter; Julien Poublanc; Adrian P. Crawley; Andrea Kassner
- Publisher
- John Wiley and Sons
- Year
- 2009
- Tongue
- English
- Weight
- 639 KB
- Volume
- 29
- Category
- Article
- ISSN
- 1053-1807
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Purpose
To quantitatively compare spiral imaging and sensitivity‐encoded‐echo‐planar‐imaging (SENSE‐EPI) methods for blood oxygen level‐dependent (BOLD) imaging using controlled changes in the end‐tidal partial pressure of CO~2~ (PetCO~2~) to provide a global BOLD response. Specifically, we examined susceptibility‐field‐gradient effects on the BOLD sensitivity throughout the brain.
Materials and Methods
We quantified cerebrovascular reactivity (CVR) using the BOLD response to cyclic changes in PetCO~2~ in five healthy volunteers at 1.5 and 3.0 T using spiral imaging and SENSE‐EPI. We compared the two techniques with respect to susceptibility‐induced signal dropout and CVR t‐statistic.
Results
Compared to spiral imaging, SENSE‐EPI significantly reduced the volume of signal dropout by 32 ± 18% at 3.0 T. In regions with large susceptibility gradients, SENSE‐EPI demonstrated a trend for a greater t‐statistic than spiral imaging, particularly at 3.0 T. However, no statistically significant between‐technique differences existed.
Conclusion
The results at 3.0 T suggest that, compared with spiral imaging, SENSE‐EPI reduces signal loss associated with susceptibility field gradients in affected regions without affecting BOLD sensitivity. This study also demonstrates a unique application of controlled PetCO~2~ changes to quantitatively compare BOLD techniques, which may be useful for the design of future fMRI studies. J. Magn. Reson. Imaging 2009;29:1206–1210. © 2009 Wiley‐Liss, Inc.
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