Magnetic Resonance Image Processing using Levy

Jonathan Blackledge

Research output: Contribution to conferencePaperpeer-review

Abstract

We consider the physical nature of the self-diffusion of water molecules in tissue and explore how (Nuclear) Magnetic Resonance (MR) imaging may be used as a means of measuring the rate of diffusion 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 diffusion are considered together with models for the distribution of the diffusion co- efficient including a Lévy distributed model. Using a Lévy distributed diffusion model, we develop a novel algorithm for the purpose of improving the signal-to-noise ratio of MR images.
Original languageEnglish
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event10th International Conference on Environment and Electrical Engineering EEEIC 2011 - Rome, Italy
Duration: 1 Jan 2011 → …

Conference

Conference10th International Conference on Environment and Electrical Engineering EEEIC 2011
Country/TerritoryItaly
CityRome
Period1/01/11 → …

Keywords

  • self-diffusion
  • water molecules
  • tissue
  • Nuclear Magnetic Resonance
  • MR imaging
  • diffusion in vivo
  • non-invasive
  • tumours
  • therapeutics
  • signal-to-noise ratio
  • Lévy distributed model

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