000285914 001__ 285914
000285914 005__ 20260407155952.0
000285914 0247_ $$2doi$$a10.1002/mrm.70266
000285914 0247_ $$2pmid$$apmid:41588662
000285914 0247_ $$2pmc$$apmc:PMC13049268
000285914 0247_ $$2ISSN$$a1522-2594
000285914 0247_ $$2ISSN$$a0740-3194
000285914 037__ $$aDZNE-2026-00360
000285914 041__ $$aEnglish
000285914 082__ $$a610
000285914 1001_ $$0P:(DE-2719)9001317$$aLöwen, Daniel$$b0$$eFirst author
000285914 245__ $$aCalibration-Free GRAPE pTx Pulses for Homogeneous Spatial-Selective Excitation at 7T.
000285914 260__ $$aNew York, NY [u.a.]$$bWiley-Liss$$c2026
000285914 3367_ $$2DRIVER$$aarticle
000285914 3367_ $$2DataCite$$aOutput Types/Journal article
000285914 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1775570296_6266
000285914 3367_ $$2BibTeX$$aARTICLE
000285914 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000285914 3367_ $$00$$2EndNote$$aJournal Article
000285914 520__ $$aExtend the universal pulse GRAPE formalism to pulses with a defined spectral response, and apply the concept to spatial selection.We added Bloch simulations at several frequencies for each voxel to the pulse calculation to create universal spectrally-selective GRAPE pulses. With a superimposed constant gradient field spatial selection was achieved. The method was tested in slice- and slab-selective imaging experiments.Universal spatially-selective GRAPE pulses increased FA homogeneity and SNR. In 2D gradient echoes, the SNR could be increased by approximately 6% compared to CP pulses, and in a slab-selective TSE sequence, the SNR increased by 29% against k T -spokes pulses. Additionally, the slab-selective GRAPE pulse proved to be more robust against B 0 deviations and is significantly shorter in comparison to k T -spokes pulses while maintaining a similar FA homogeneity.Spatially-selective universal GRAPE pulses exhibit superior performance compared to k T -spokes pulses. These short and robust pTx pulses hold potential for enhancing a wide range of imaging applications, thereby advancing 7T MRI technology closer to clinical use.
000285914 536__ $$0G:(DE-HGF)POF4-354$$a354 - Disease Prevention and Healthy Aging (POF4-354)$$cPOF4-354$$fPOF IV$$x0
000285914 588__ $$aDataset connected to CrossRef, PubMed, , Journals: pub.dzne.de
000285914 650_7 $$2Other$$aGRAPE
000285914 650_7 $$2Other$$aparallel transmission
000285914 650_7 $$2Other$$aultra‐high field
000285914 650_7 $$2Other$$auniversal pulses
000285914 650_2 $$2MeSH$$aPhantoms, Imaging
000285914 650_2 $$2MeSH$$aHumans
000285914 650_2 $$2MeSH$$aAlgorithms
000285914 650_2 $$2MeSH$$aMagnetic Resonance Imaging: methods
000285914 650_2 $$2MeSH$$aSignal-To-Noise Ratio
000285914 650_2 $$2MeSH$$aCalibration
000285914 650_2 $$2MeSH$$aImage Processing, Computer-Assisted: methods
000285914 650_2 $$2MeSH$$aComputer Simulation
000285914 650_2 $$2MeSH$$aBrain: diagnostic imaging
000285914 7001_ $$0P:(DE-2719)2810559$$aPracht, Eberhard D$$b1
000285914 7001_ $$0P:(DE-2719)2814200$$aVeldmann, Marten$$b2
000285914 7001_ $$00000-0002-4997-2738$$aGras, Vincent$$b3
000285914 7001_ $$0P:(DE-2719)9002043$$aMauconduit, Franck$$b4
000285914 7001_ $$00000-0003-2144-2484$$aBoulant, Nicolas$$b5
000285914 7001_ $$0P:(DE-2719)2810538$$aStöcker, Tony$$b6$$eLast author
000285914 773__ $$0PERI:(DE-600)1493786-4$$a10.1002/mrm.70266$$gVol. 95, no. 6, p. 3104 - 3115$$n6$$p3104 - 3115$$tMagnetic resonance in medicine$$v95$$x1522-2594$$y2026
000285914 8564_ $$uhttps://pub.dzne.de/record/285914/files/DZNE-2026-00360.pdf$$yRestricted
000285914 8564_ $$uhttps://pub.dzne.de/record/285914/files/DZNE-2026-00360.pdf?subformat=pdfa$$xpdfa$$yRestricted
000285914 9101_ $$0I:(DE-588)1065079516$$6P:(DE-2719)9001317$$aDeutsches Zentrum für Neurodegenerative Erkrankungen$$b0$$kDZNE
000285914 9101_ $$0I:(DE-588)1065079516$$6P:(DE-2719)2810559$$aDeutsches Zentrum für Neurodegenerative Erkrankungen$$b1$$kDZNE
000285914 9101_ $$0I:(DE-588)1065079516$$6P:(DE-2719)2814200$$aDeutsches Zentrum für Neurodegenerative Erkrankungen$$b2$$kDZNE
000285914 9101_ $$0I:(DE-588)1065079516$$6P:(DE-2719)2810538$$aDeutsches Zentrum für Neurodegenerative Erkrankungen$$b6$$kDZNE
000285914 9131_ $$0G:(DE-HGF)POF4-354$$1G:(DE-HGF)POF4-350$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lNeurodegenerative Diseases$$vDisease Prevention and Healthy Aging$$x0
000285914 915__ $$0StatID:(DE-HGF)0420$$2StatID$$aNationallizenz$$d2025-11-11$$wger
000285914 915__ $$0StatID:(DE-HGF)3001$$2StatID$$aDEAL Wiley$$d2025-11-11$$wger
000285914 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)1110$$2StatID$$aDBCoverage$$bCurrent Contents - Clinical Medicine$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)1190$$2StatID$$aDBCoverage$$bBiological Abstracts$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)1030$$2StatID$$aDBCoverage$$bCurrent Contents - Life Sciences$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bMAGN RESON MED : 2022$$d2025-11-11
000285914 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5$$d2025-11-11
000285914 9201_ $$0I:(DE-2719)1013026$$kAG Stöcker$$lMR Physics$$x0
000285914 980__ $$ajournal
000285914 980__ $$aEDITORS
000285914 980__ $$aVDBINPRINT
000285914 980__ $$aI:(DE-2719)1013026
000285914 980__ $$aUNRESTRICTED