Journal Article Ppublish
PubMed: 40079433 DOI: 10.1002/mrm.30480
T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data.
Magn Reson Med 94(2):713-723
Authors: Chung Kan, RĂ¼diger Stirnberg, Marcela Montequin, Omer Faruk Gulban, A Tyler Morgan, Peter A Bandettini, Laurentius Huber
Affiliations
- NIH, Bethesda, USA.
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
- CN, FPN, University of Maastricht, The Netherlands.
- Brain Innovation, Maastricht, The Netherlands.
Abstract
PURPOSE
Registration of functional and structural data poses a challenge for high-resolution fMRI studies at 7 T. This study aims to develop a rapid acquisition method that provides distortion-matched, artifact-mitigated structural reference data.
METHODS
We introduce an efficient sequence protocol termed T1234, which offers adjustable distortions. This includes data that match distortions of functional data and data that are free of distortions. This approach involves a T 1-weighted 2-inversion 3D-EPI sequence with four combinations of read and phase encoding directions optimized for high-resolution fMRI. A forward Bloch model was used for T 1 quantification and protocol optimization. Fifteen participants were scanned at 7 T using both structural and functional protocols to evaluate the use of T1234.
RESULTS
Results from two protocols are presented. A fast distortion-free protocol reliably produced whole-brain segmentations at 0.8 mm isotropic resolution within 3:00-3:40 min. It demonstrates robustness across sessions, participants, and three different 7 T SIEMENS scanners. For a protocol with geometric distortions that matched functional data, T1234 facilitates layer-specific fMRI signal analysis with enhanced laminar precision.
CONCLUSION
This structural mapping approach enables precise registration with fMRI data. T1234 has been successfully implemented, validated, and tested, and is now available to users at our center and at over 50 centers worldwide.
MeSH
Solutions
Cited by
- T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data. Magn Reson Med, 2025
- Fuzzy ripple artifact in high resolution fMRI: identification, cause, and mitigation. bioRxiv, 2024
- Short-term gradient imperfections in high-resolution EPI lead to Fuzzy Ripple artifacts. Magn Reson Med, 2025