Monte Carlo Method for Uncertainty Propagation in Magnetic Resonance-Based Electric Properties Tomography

This paper investigates the uncertainty propagation in magnetic resonance-based electric properties tomography, a quantitative imaging technique that recovers the electric properties distribution inside a human body at the Larmor frequency. This is a needed step in order to make the quantitative res...

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Bibliographic Details
Published in:IEEE transactions on magnetics 2017-11, Vol.53 (11), p.1-4
Main Authors: Arduino, Alessandro, Chiampi, Mario, Pennecchi, Francesca, Zilberti, Luca, Bottauscio, Oriano
Format: Article
Language:English
Subjects:
Coiling
Coils
Computer simulation
Contrast source inversion (CSI)
Electric power distribution
Electric properties
electric properties tomography (EPT)
In vivo methods and tests
Magnetic field measurement
Magnetic properties
Magnetic resonance
Magnetic resonance imaging
magnetic resonance imaging (MRI)
Magnetism
Measurement uncertainty
Monte Carlo method (MCM)
Monte Carlo simulation
Propagation
Signal to noise ratio
Tomography
Uncertainty
uncertainty propagation
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Summary:This paper investigates the uncertainty propagation in magnetic resonance-based electric properties tomography, a quantitative imaging technique that recovers the electric properties distribution inside a human body at the Larmor frequency. This is a needed step in order to make the quantitative results reliable for in vivo applications. To this aim, the contrast source inversion method is investigated as a promising technique and the uncertainty propagation through the corresponding model is studied by means of the Monte Carlo method. Thanks to the increased quality in the recovered electric properties, the results suggest that TEM coils for parallel transmission could be a preferable choice.
ISSN:0018-9464
1941-0069
DOI:10.1109/TMAG.2017.2713984