Related Experiment Video
Updated: Jul 1, 2025

08:51
Magnetic Resonance Imaging of Multiple Sclerosis at 7.0 Tesla
Published on: February 19, 2021
9.0K
Submillimeter balanced SSFP BOLD-functional MRI accelerated with 3D stack-of-spirals at 9.4 T
Praveen Iyyappan Valsala1, Marten Veldmann2, Dario Bosch1,3
1Magnetic Resonance Center, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany.
Magnetic Resonance in Medicine
|March 5, 2024
Summary
This study introduces faster balanced SSFP (bSSFP) functional brain imaging using 3D stack-of-spirals at ultrahigh fields. The developed method achieves high spatial and temporal resolution for improved brain activity detection.
Area of Science:
- Magnetic Resonance Imaging
- Neuroimaging
- Functional MRI
Background:
- Balanced steady-state free precession (bSSFP) is valuable for functional neuroimaging.
- Conventional spoiled gradient-echo sequences have limitations in speed and resolution for ultrahigh-field functional studies.
Purpose of the Study:
- To enhance the speed of balanced SSFP (bSSFP) acquisition using segmented 3D stack-of-spirals for functional brain studies at ultrahigh fields.
- To achieve higher spatio-temporal resolution imaging for improved detection of brain activity.
Main Methods:
- An accelerated 3D stack-of-spirals sequence with water excitation for fat suppression was employed.
- Iterative reconstruction with corrections for system imperfections (e.g., B0 inhomogeneity) was used.
- Optimized protocols at submillimeter (0.6-mm, 0.8-mm isotropic) and 1.2-mm isotropic resolutions were evaluated.
Main Results:
- Water excitation and model-based iterative reconstruction improved image quality.
- BOLD-related signal changes were optimized by balancing echo time (TE) and repetition time (TR) for sensitivity and speed.
- Reproducible neural activations were detected with a median signal change of approximately 4% at submillimeter resolutions.
Conclusions:
- 3D stack-of-spirals enables passband bSSFP functional imaging at significantly higher spatial and temporal scales.
- This technique offers advantages over conventional spoiled gradient-echo train sequences for ultrahigh-field functional neuroimaging.

