Journal Article DZNE-2025-00667

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data.

 ;  ;  ;  ;  ;  ;

2025
Wiley-Liss New York, NY [u.a.]

Magnetic resonance in medicine 94(2), 713 - 723 () [10.1002/mrm.30480]

This record in other databases:    

Please use a persistent id in citations: doi:

Abstract: 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.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 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.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.

Keyword(s): Humans (MeSH) ; Magnetic Resonance Imaging: methods (MeSH) ; Brain: diagnostic imaging (MeSH) ; Artifacts (MeSH) ; Adult (MeSH) ; Algorithms (MeSH) ; Male (MeSH) ; Image Processing, Computer-Assisted: methods (MeSH) ; Female (MeSH) ; Imaging, Three-Dimensional: methods (MeSH) ; Brain Mapping: methods (MeSH) ; Reproducibility of Results (MeSH) ; Young Adult (MeSH) ; Echo-Planar Imaging (MeSH) ; 7 T acquisition ; T1 mapping ; distortion ; layer‐fMRI

Classification:

Contributing Institute(s):
  1. MR Physics (AG Stöcker)
Research Program(s):
  1. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)

Appears in the scientific report 2025
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; DEAL Wiley ; Essential Science Indicators ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Institute Collections > BN DZNE > BN DZNE-AG Stöcker
Full Text Collection
Public records
Publications Database

 Record created 2025-06-05, last modified 2025-07-13


OpenAccess:
Download fulltext PDF Download fulltext PDF (PDFA)
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)