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SAR Prediction and SAR Management for Parallel Transmit MRI

dc.contributor.authorHomann, Hanno*
dc.date.accessioned2021-02-12T02:51:08Z
dc.date.available2021-02-12T02:51:08Z
dc.date.issued2012*
dc.date.submitted2019-07-30 20:02:02*
dc.identifier35682*
dc.identifier.issn18645933*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/58850
dc.description.abstractParallel transmission enables control of the RF field in high-field Magnetic Resonance Imaging (MRI). However, the approach has also caused concerns about the specific absorption rate (SAR) in the patient body. The present work provides new concepts for SAR prediction. A novel approach for generating human body models is proposed, based on a water-fat separated MRI pre-scan. Furthermore, this work explores various approaches for SAR reduction.*
dc.languageEnglish*
dc.relation.ispartofseriesKarlsruhe transactions on biomedical engineering / Ed.: Karlsruhe Institute of Technology / Institute of Biomedical Engineering*
dc.subjectT1-995*
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.otherpatient safety*
dc.subject.otherradio frequency*
dc.subject.otherMagnetic Resonance Imaging (MRI)*
dc.subject.otherparallel transmission*
dc.subject.otherSpecific Absorption Rate (SAR)*
dc.titleSAR Prediction and SAR Management for Parallel Transmit MRI*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000025607*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783866448001*
oapen.pagesVIII, 124 p.*
oapen.volume16*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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