Lanthanide Complexes of a Picolinate Ligand Derived from 1,4,7-Triazacyclononane with Potential Application in Magnetic Resonance Imaging and Time-Resolved Luminescence Imaging

2006 ◽  
Vol 12 (27) ◽  
pp. 7133-7150 ◽  
Author(s):  
Aline Nonat ◽  
Christelle Gateau ◽  
Pascal H. Fries ◽  
Marinella Mazzanti
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Potential Application ◽  
Lanthanide Complexes ◽  
Resonance Imaging ◽  
Time Resolved ◽  
Luminescence Imaging

Manganese transport in the rat optic nerve evaluated with spatial- and time-resolved magnetic resonance imaging

2010 ◽  
Vol 32 (3) ◽  
pp. 551-560 ◽  
Author(s):  
Øystein Olsen ◽  
Anders Kristoffersen ◽  
Marte Thuen ◽  
Axel Sandvig ◽  
Christian Brekken ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Optic Nerve ◽  
Magnetic Resonance ◽  
Resonance Imaging ◽  
Time Resolved ◽  
Manganese Transport

scholarly journals Numerical simulation of time-resolved 3D phase-contrast magnetic resonance imaging

PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0248816
Author(s):  
Thomas Puiseux ◽  
Anou Sewonu ◽  
Ramiro Moreno ◽  
Simon Mendez ◽  
Franck Nicoud
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Phase Contrast ◽  
Navier Stokes ◽  
Resonance Imaging ◽  
4D Flow Mri ◽  
4D Flow ◽  
Time Resolved ◽  
Contrast Magnetic Resonance ◽  
Flow Mri

A numerical approach is presented to efficiently simulate time-resolved 3D phase-contrast Magnetic resonance Imaging (or 4D Flow MRI) acquisitions under realistic flow conditions. The Navier-Stokes and Bloch equations are simultaneously solved with an Eulerian-Lagrangian formalism. A semi-analytic solution for the Bloch equations as well as a periodic particle seeding strategy are developed to reduce the computational cost. The velocity reconstruction pipeline is first validated by considering a Poiseuille flow configuration. The 4D Flow MRI simulation procedure is then applied to the flow within an in vitro flow phantom typical of the cardiovascular system. The simulated MR velocity images compare favorably to both the flow computed by solving the Navier-Stokes equations and experimental 4D Flow MRI measurements. A practical application is finally presented in which the MRI simulation framework is used to identify the origins of the MRI measurement errors.

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