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| Item Type: | Article |
|---|---|
| Title: | Comparison of k-t SENSE/k-t BLAST with conventional SENSE applied to BOLD fMRI |
| Creators Name: | Utting, J.F., Kozerke, S., Schnitker, R. and Niendorf, T. |
| Abstract: | PURPOSE: To compare k-t BLAST (broad-use linear-acquisition speedup technique)/k-t SENSE (sensitivity encoding) with conventional SENSE applied to a simple fMRI paradigm. MATERIALS AND METHODS: Blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) was performed at 3 T using a displaced ultra-fast low-angle refocused echo (UFLARE) pulse sequence with a visual stimulus in a block paradigm. Conventional SENSE and k-t BLAST/k-t SENSE data were acquired. Also, k-t BLAST/k-t SENSE was simulated at different undersampling factors from fully sampled data after removal of lines of k-space data. Analysis was performed using SPM5. RESULTS: Sensitivity to the BOLD response in k-t BLAST/k-t SENSE was comparable with that of SENSE in images acquired at an undersampling factor of 2.3. Simulated k-t BLAST/k-t SENSE yielded reliable detection of activation-induced BOLD contrast at undersampling factors of 5 or less. Sensitivity increased significantly when training data were included in k-space before Fourier transformation (known as "plug-in"). CONCLUSION: k-t BLAST/k-t SENSE performs at least as well as conventional SENSE for BOLD fMRI at a modest undersampling factor. Results suggest that sufficient sensitivity to BOLD contrast may be achievable at higher undersampling factors with k-t BLAST/k-t SENSE than with conventional parallel imaging approaches, offering particular advantages at the highest magnetic field strengths. |
| Keywords: | fMRI, k-t BLAST/k-t SENSE, SENSE, Parallel Imaging, 3 Tesla, Fast Spin Echo |
| Source: | Journal of Magnetic Resonance Imaging |
| ISSN: | 1053-1807 |
| Publisher: | Wiley |
| Volume: | 32 |
| Number: | 1 |
| Page Range: | 235-241 |
| Date: | July 2010 |
| Official Publication: | https://doi.org/10.1002/jmri.22212 |
| PubMed: | View item in PubMed |
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