Analytical and numerical solutions of the space and time fractional bloch-torrey equation

, , , & (2011) Analytical and numerical solutions of the space and time fractional bloch-torrey equation. In Jalili, N (Ed.) Proceedings of the ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASME, United States, pp. 1-10.

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Fractional order dynamics in physics, particularly when applied to diffusion, leads to an extension of the concept of Brown-ian motion through a generalization of the Gaussian probability function to what is termed anomalous diffusion. As MRI is applied with increasing temporal and spatial resolution, the spin dynamics are being examined more closely; such examinations extend our knowledge of biological materials through a detailed analysis of relaxation time distribution and water diffusion heterogeneity. Here the dynamic models become more complex as they attempt to correlate new data with a multiplicity of tissue compartments where processes are often anisotropic. Anomalous diffusion in the human brain using fractional order calculus has been investigated. Recently, a new diffusion model was proposed by solving the Bloch-Torrey equation using fractional order calculus with respect to time and space (see R.L. Magin et al., J. Magnetic Resonance, 190 (2008) 255-270). However effective numerical methods and supporting error analyses for the fractional Bloch-Torrey equation are still limited. In this paper, the space and time fractional Bloch-Torrey equation (ST-FBTE) is considered. The time and space derivatives in the ST-FBTE are replaced by the Caputo and the sequential Riesz fractional derivatives, respectively. Firstly, we derive an analytical solution for the ST-FBTE with initial and boundary conditions on a finite domain. Secondly, we propose an implicit numerical method (INM) for the ST-FBTE, and the stability and convergence of the INM are investigated. We prove that the implicit numerical method for the ST-FBTE is unconditionally stable and convergent. Finally, we present some numerical results that support our theoretical analysis.

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ID Code: 52821
Item Type: Chapter in Book, Report or Conference volume (Conference contribution)
ORCID iD:
Liu, Fawangorcid.org/0000-0003-1034-2349
Turner, Ianorcid.org/0000-0003-2794-3968
Burrage, Kevinorcid.org/0000-0002-8111-1137
Measurements or Duration: 10 pages
Keywords: Brownian motion, Gaussian probability function
DOI: 10.1115/DETC2011-47613
ISBN: 978-0-7918-5480-8
Pure ID: 32019388
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Past > QUT Faculties & Divisions > Science & Engineering Faculty
Current > Research Centres > Australian Research Centre for Aerospace Automation
Copyright Owner: Consult author(s) regarding copyright matters
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Deposited On: 07 Aug 2012 23:54
Last Modified: 01 Mar 2024 23:51