SmartPulse, a machine learning approach for calibration‐free dynamic RF shimming: Preliminary study in a clinical environment-Reference-Cited by-同舟云学术

SmartPulse, a machine learning approach for calibration‐free dynamic RF shimming: Preliminary study in a clinical environment

Published:2019-06-30 Issue:6 Volume:82 Page:2016-2031
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Tomi‐Tricot Raphaël¹^ORCID,Gras Vincent¹,Thirion Bertrand²,Mauconduit Franck³,Boulant Nicolas¹,Cherkaoui Hamza²,Zerbib Pierre⁴,Vignaud Alexandre¹,Luciani Alain⁴⁵⁶,Amadon Alexis¹

Affiliation:

1. NeuroSpin, CEA, Université Paris‐Saclay Gif‐sur‐Yvette France

2. Parietal, Inria Université Paris‐Saclay Gif‐sur‐Yvette France

3. Siemens Healthcare SAS Saint‐Denis France

4. Department of Radiology AP‐HP, CHU Henri Mondor Créteil France

5. Université Paris‐Est Créteil Val de Marne Créteil France

6. INSERM U955, Team 18, Molecular Virology and Immunology – Physiopathology and Therapeutic of Chronic Viral Hepatitis Créteil France

Funder

CEA's Programme Transversal, Technologies pour la Santé

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.27870

Reference50 articles.

1. Clinical advantages of 3.0T MRI over 1.5T

2. Imaging artifacts at 3.0T

3. Parallel transmission for ultrahigh-field imaging

4. KukukGM GiesekeJ NellesM et al.Clinical liver MRI at 3.0 Tesla using parallel RF transmission with patient‐adaptive B1 shimming. In: Proceedings of the 17th Annual Meeting of ISMRM Honolulu Hawai'i 2009. Abstract 119.

5. Passive radiofrequency shimming in the thighs at 3 Tesla using high permittivity materials and body coil receive uniformity correction

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