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Aortic 4D flow: quantifying the effects of contrast and field strength at 1.5 T, 3T and 7T

Abstract:: Conclusions4D aortic flow is feasible at 7 Tesla and yields substantial SNR improvements over lower field strengths. Future work will exploit this higher SNR to explore improved spatial and/or temporal resolution.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Hess, A. T., Bissell, M. M., Lewis, A., Ntusi, N. A., Francis, J. M., Myerson, S. G., Neubauer, S., & Robson, M. D. (2014). Aortic 4D flow: quantifying the effects of contrast and field strength at 1.5 T, 3T and 7T. Journal of Cardiovascular Magnetic Resonance, 16(Suppl 1), P169–P169.

MLA Style

Hess, AT, et al. “Aortic 4D Flow: Quantifying the Effects of Contrast and Field Strength at 1.5 T, 3T and 7T.” Journal of Cardiovascular Magnetic Resonance, vol. 16, no. Suppl 1, 2014, pp. P169–P169.

Chicago Style

Hess, AT, MM Bissell, A Lewis, et al. 2014. “Aortic 4D Flow: Quantifying the Effects of Contrast and Field Strength at 1.5 T, 3T and 7T.” Journal of Cardiovascular Magnetic Resonance 16 (Suppl 1): P169–P169.
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Files:: Hess_et_al_2014_Aortic_4D_flow.pdf

(Preview, Version of record, pdf, 576.3KB, Terms of use)

Publisher copy:: 10.1186/1532-429x-16-s1-p169

Authors

+ Hess, AT More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0002-9289-5619

+ Bissell, MM More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0002-1282-2859

+ Lewis, A More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0002-3714-6711

+ Ntusi, NA More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0003-2347-7883

+ Francis, JM More by this author

Institution:: University of Oxford
Role:: Author
ORCID:: 0000-0002-2188-4939

More authors...

Publisher:: Elsevier
Journal:: Journal of Cardiovascular Magnetic Resonance More from this journal
Volume:: 16
Issue:: Suppl 1
Pages:: P169-P169
Publication date:: 2014-01-16
DOI:: 10.1186/1532-429x-16-s1-p169
EISSN:: 1532-429X
ISSN:: 1097-6647

Language:: English
Keywords:: Artificial intelligence

Mathematics

Angiology

Contrast (vision)

Computer science

Geometry

Medicine

Field strength

Physics

Internal medicine

Flow (mathematics)
Pubs id:: 895587
Local pid:: pubs:895587
Source identifiers:: W2061968805
Deposit date:: 2026-01-24
ARK identifier:: ark:/29072/ora_48173aa09fb74546bf52a6160156686e

Terms of use

Copyright date:: 2014

Licence:: CC Attribution (CC BY)

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