T1234 : A distortion‐matched structural scan solution to misregistration of high resolution fMRI data
Year: 2025
Type: article
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.
Source: Magnetic Resonance in Medicine
DOI: 10.1002/mrm.30480
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,680
Funder: National Institutes of Health
Awards: G4712338446, G6009177079
OpenAlex ID: W4408411345
