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Published on: November 20, 2015
A comparison and evaluation of reduced-FOV methods for multi-slice 7T human imaging
Christopher J Wargo1, Jay Moore, John C Gore
1Institute of Imaging Science, Vanderbilt University, 1161 21st Ave. South, MCN AA-1105 Nashville, TN 37232-2310, USA; Department of Radiology and Radiological Sciences, Vanderbilt University, 116 21st Ave. South, MCN CCC-1106, Nashville, TN 37232-2675, USA.
This study evaluated reduced field-of-view (FOV) MRI techniques at 7T for human imaging. Optimized methods improved signal-to-noise ratio (SNR) and reduced artifacts, providing a basis for localized 7T brain imaging.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- High-Field Imaging
- Neuroimaging
Background:
- Reduced field-of-view (FOV) techniques are crucial for high-field MRI.
- Optimizing these methods at ultra-high fields (7T) presents unique challenges.
- Existing techniques require evaluation for efficacy and safety in human imaging.
Purpose of the Study:
- To implement, optimize, and evaluate diverse reduced FOV MRI techniques at 7T.
- To compare quantitative performance metrics including SNR, SAR, and artifact levels.
- To establish a foundation for localized small FOV human imaging at 7T.
Main Methods:
- Implementation and optimization of selective Inner-Volume Imaging (IVI) and Outer-Volume Suppression (OVS) methods.
- Utilized composite excitation, adiabatic refocusing RF pulses, and frequency-modulated pulses.
- Quantitative comparison in phantoms and in vivo using SNR, SAR, artifact assessment, and image quality.
Main Results:
- B1 inhomogeneity corrections improved SNR and reduced artifacts but increased SAR.
- Multi-slice IVI sequences with pulse reordering enhanced SNR compared to conventional methods.
- Evaluated signal losses in multi-slice IVI scans across varying slice numbers.
Conclusions:
- Optimized reduced FOV MRI techniques show promise for localized 7T human imaging.
- Careful pulse sequence design and B1 correction are key for high-field performance.
- This work provides a quantitative basis for selecting and applying reduced FOV methods at 7T.
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