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Ultrahigh Resolution fMRI at 7T Using Radial-Cartesian TURBINE Sampling.
Nadine N Graedel1,2, Karla L Miller1, Mark Chiew1
1Wellcome Centre for Integrative Neuroscience, FMRIB Centre, University of Oxford, Oxford, United Kingdom.
Magnetic Resonance in Medicine
|July 5, 2022
Summary
TURBINE, a novel 3D radial-Cartesian acquisition, achieves high-fidelity, ultrahigh isotropic resolution fMRI at 7 Tesla with minimal distortion. This technique shows promise for advanced functional neuroimaging, especially in challenging brain regions.
Area of Science:
- Neuroimaging
- Magnetic Resonance Imaging (MRI)
Background:
- Functional Magnetic Resonance Imaging (fMRI) at 7 Tesla offers enhanced signal but faces challenges with image distortion and blurring.
- Conventional 3D Echo-Planar Imaging (EPI) can suffer from spatial inaccuracies, limiting high-resolution applications.
Purpose of the Study:
- To investigate the TURBINE (3D radial-Cartesian) acquisition scheme for high-fidelity, ultrahigh isotropic resolution fMRI at 7 Tesla.
- To minimize distortion and blurring in fMRI acquisitions, enabling precise localization of brain activity.
Main Methods:
- Developed an improved, self-navigated TURBINE sampling scheme for fMRI at 7 Tesla.
- Acquired thin-slab (0.67 mm isotropic) and whole-brain (0.8 x 0.8 x 2.0 mm) BOLD fMRI data.
- Employed temporally regularized reconstruction to enhance sensitivity and spatial fidelity.
Main Results:
- TURBINE acquisitions yielded high structural fidelity with minimal distortion, dropout, and T2* blurring for thin-slab scans.
- Demonstrated precise localization of motor task activation, correlating well with T1-MPRAGE structural images.
- Showcased robust BOLD activation at both ultrahigh isotropic and anisotropic resolutions, though benefits were reduced with longer EPI trains in whole-brain scans.
Conclusions:
- TURBINE is a promising fMRI acquisition technique for achieving high resolution and minimal distortion at 7 Tesla.
- The method is particularly advantageous for fMRI in regions with high B0 inhomogeneity.
- Offers potential for improved spatial specificity in functional neuroimaging studies.

