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Magnetic Resonance Image Processing using Levy

Authors: Blackledge, Jonathan; Blackledge, Matthew D.;

Magnetic Resonance Image Processing using Levy

Abstract

We consider the physical nature of the self-diusion of water molecules in tissue and explore how (Nuclear) Magnetic Resonance (MR) imaging may be used as a means of measuring the rate of diusion in vivo. A discussion is presented on how these techniques may be implemented as a non-invasive means of assessing the response of tumours to novel therapeutics including some of the basic advantages and disadvan- tages when compared to other methods. The physical basis and mathematical models for diusion are considered together with models for the distribution of the diusion co- ecient including a L evy distributed model. Using a L evy distributed diusion model, we develop a novel algorithm for the purpose of improving the signal-to-noise ratio of MR images.

Country
Ireland
Keywords

noise reduction, diffusion imaging, fractional diffusion, magnetic resonance imaging, Biomedical Engineering and Bioengineering

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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