T1234: A distortion‐matched structural scan solution to misregistration of high resolution fMRI data.
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| Title: | T1234: A distortion‐matched structural scan solution to misregistration of high resolution fMRI data. |
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| Authors: | Kan, Chung1 (AUTHOR) kanc@mail.nih.gov, Stirnberg, Rüdiger2 (AUTHOR), Montequin, Marcela1 (AUTHOR), Gulban, Omer Faruk3,4 (AUTHOR), Morgan, A. Tyler1 (AUTHOR), Bandettini, Peter A1 (AUTHOR), Huber, Laurentius1 (AUTHOR) |
| Source: | Magnetic Resonance in Medicine. Aug2025, Vol. 94 Issue 2, p713-723. 11p. |
| Subjects: | Phase coding, Functional magnetic resonance imaging, Scanning systems, Recording & registration |
| 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 T1‐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 T1 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. [ABSTRACT FROM AUTHOR] |
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| Database: | Engineering Source |
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| 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 T1‐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 T1 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. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 07403194 |
| DOI: | 10.1002/mrm.30480 |
