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Poster communications

SNR and volume characterization of RF coils: A simple procedure and an automatic post-processing tool for a straightforward comparison

Laurent Mahieu-Williame 1 Sophie Gaillard 1 Denis Grenier 1, 2 Radu Bolbos 3 Jean-Baptiste Langlois 3 Franck Lamberton 3 Sorina Camarasu-Pop 4, 5 Olivier Beuf 2
1 PILoT - Plateforme d'Imagerie Multimodale LyonTech
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
2 RMN et optique : De la mesure au biomarqueur
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
4 Service Informatique et développements
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
5 Images et Modèles
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
Abstract : To choose the most suitable RF coil available for an MRI study, we propose a procedure which uses a calibrated phantom, a 3D gradient-echo sequence, and an automatic post-processing tool available on the web. This tool generates a report which contains the measurement of a SNR with uniform volumes located in the depth. The post-processing could be done on MR images acquired on most main MRI vendors (Siemens, GE, Philips and Bruker) with prior verification of applied scaling or filtering. RF coil characterization results performed on at 4.7T and 7T were compared. The tool can be used for quality control.
Document type :
Poster communications
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https://hal.archives-ouvertes.fr/hal-01693554
Contributor : Béatrice Rayet <>
Submitted on : Friday, January 26, 2018 - 12:10:02 PM
Last modification on : Monday, July 20, 2020 - 11:54:20 AM

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  • HAL Id : hal-01693554, version 1

Citation

Laurent Mahieu-Williame, Sophie Gaillard, Denis Grenier, Radu Bolbos, Jean-Baptiste Langlois, et al.. SNR and volume characterization of RF coils: A simple procedure and an automatic post-processing tool for a straightforward comparison. 25th annual meeting & exhibition ISMRBM, Apr 2017, Honolulu, United States. pp.Abstract #3830, 2017. ⟨hal-01693554⟩

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