001     279035
005     20250713001346.0
024 7 _ |a 10.1002/mrm.30480
|2 doi
024 7 _ |a pmid:40079433
|2 pmid
024 7 _ |a 1522-2594
|2 ISSN
024 7 _ |a 0740-3194
|2 ISSN
024 7 _ |a altmetric:175153519
|2 altmetric
037 _ _ |a DZNE-2025-00667
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Kan, Chung
|b 0
245 _ _ |a T1234: A distortion-matched structural scan solution to misregistration of high resolution fMRI data.
260 _ _ |a New York, NY [u.a.]
|c 2025
|b Wiley-Liss
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1749127833_29143
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a 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.
536 _ _ |a 354 - Disease Prevention and Healthy Aging (POF4-354)
|0 G:(DE-HGF)POF4-354
|c POF4-354
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
650 _ 7 |a 7 T acquisition
|2 Other
650 _ 7 |a T1 mapping
|2 Other
650 _ 7 |a distortion
|2 Other
650 _ 7 |a layer‐fMRI
|2 Other
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Magnetic Resonance Imaging: methods
|2 MeSH
650 _ 2 |a Brain: diagnostic imaging
|2 MeSH
650 _ 2 |a Artifacts
|2 MeSH
650 _ 2 |a Adult
|2 MeSH
650 _ 2 |a Algorithms
|2 MeSH
650 _ 2 |a Male
|2 MeSH
650 _ 2 |a Image Processing, Computer-Assisted: methods
|2 MeSH
650 _ 2 |a Female
|2 MeSH
650 _ 2 |a Imaging, Three-Dimensional: methods
|2 MeSH
650 _ 2 |a Brain Mapping: methods
|2 MeSH
650 _ 2 |a Reproducibility of Results
|2 MeSH
650 _ 2 |a Young Adult
|2 MeSH
650 _ 2 |a Echo-Planar Imaging
|2 MeSH
700 1 _ |a Stirnberg, Rüdiger
|0 P:(DE-2719)2810697
|b 1
700 1 _ |a Montequin, Marcela
|b 2
700 1 _ |a Gulban, Omer Faruk
|0 0000-0001-7761-3727
|b 3
700 1 _ |a Morgan, A Tyler
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Bandettini, Peter A
|0 0000-0001-9038-4746
|b 5
700 1 _ |a Huber, Laurentius
|0 0000-0002-3291-2202
|b 6
773 _ _ |a 10.1002/mrm.30480
|g Vol. 94, no. 2, p. 713 - 723
|0 PERI:(DE-600)1493786-4
|n 2
|p 713 - 723
|t Magnetic resonance in medicine
|v 94
|y 2025
|x 1522-2594
856 4 _ |y OpenAccess
|u https://pub.dzne.de/record/279035/files/DZNE-2025-00667.pdf
856 4 _ |y OpenAccess
|x pdfa
|u https://pub.dzne.de/record/279035/files/DZNE-2025-00667.pdf?subformat=pdfa
909 C O |o oai:pub.dzne.de:279035
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Deutsches Zentrum für Neurodegenerative Erkrankungen
|0 I:(DE-588)1065079516
|k DZNE
|b 1
|6 P:(DE-2719)2810697
913 1 _ |a DE-HGF
|b Gesundheit
|l Neurodegenerative Diseases
|1 G:(DE-HGF)POF4-350
|0 G:(DE-HGF)POF4-354
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-300
|4 G:(DE-HGF)POF
|v Disease Prevention and Healthy Aging
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2025-01-02
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DEAL Wiley
|0 StatID:(DE-HGF)3001
|2 StatID
|d 2025-01-02
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2025-01-02
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-02
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1110
|2 StatID
|b Current Contents - Clinical Medicine
|d 2025-01-02
915 _ _ |a Nationallizenz
|0 StatID:(DE-HGF)0420
|2 StatID
|d 2025-01-02
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-02
920 1 _ |0 I:(DE-2719)1013026
|k AG Stöcker
|l MR Physics
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-2719)1013026
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21