http://www.cnr.it/ontology/cnr/individuo/prodotto/ID109154
An Efficient Algorithm For Sample Resistance Estimation In Magnetic Resonance Applications (Abstract/Poster in atti di convegno)
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- An Efficient Algorithm For Sample Resistance Estimation In Magnetic Resonance Applications (Abstract/Poster in atti di convegno) (literal)
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- 2008-01-01T00:00:00+01:00 (literal)
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Giovannetti G.; Viti V.; Hartwig V.; Liu Y.; Yu W.; Mittra R.; Landini L.; Benassi A. (2008)
An Efficient Algorithm For Sample Resistance Estimation In Magnetic Resonance Applications
in Biosignal 2008, Brno, Repubblica Ceca
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Giovannetti G.; Viti V.; Hartwig V.; Liu Y.; Yu W.; Mittra R.; Landini L.; Benassi A. (literal)
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- In: Biosignal 2008 (Brno, Repubblica Ceca, 29 Giugno - 2 Luglio 2008). Abstract, pp. 1 - 4. EURASIP, 2008. (literal)
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- Signal-to-Noise Ratio (SNR) estimation in Magnetic Resonance Imaging (MRI) experiments requires the knowledge of biological sample induced resistance value. In dependence on system geometry, literature works regard sample-coil interaction studies obtained by applying quasi-static approach in very simple coil geometry (circular or square) and homogeneous infinitely long cylinders, spheres or half-space as an approximation of the sample geometry. However, in real MR experiments, both shape and dimensions can be very different respect to these coil and sample models. Furthermore, quasi-static method fails at high field MR imaging. In this paper we propose a theoretical algorithm for sample induced resistance estimation which employes a numerical solver based on Finite-Difference Time- Domain (FDTD) method, without approximations in sample and coil geometries. (literal)
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- CNR-IFC, Pisa, Esaote spa, Genova, Department of Information Engineering, University of Pisa, Pisa, and CNR-IFC, Pisa, Italy, Electromagnetic Communication Laboratory, EE Department, Pennsylvania State (literal)
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- An Efficient Algorithm For Sample Resistance Estimation In Magnetic Resonance Applications (literal)
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