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author:

Zhang, Mengchen (Zhang, Mengchen.) [1] | Liu, Fawang (Liu, Fawang.) [2] | Turner, Ian W. (Turner, Ian W..) [3] | Anh, Vo V. (Anh, Vo V..) [4] | Feng, Libo (Feng, Libo.) [5]

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EI

Abstract:

A new generalised two-dimensional time and space variable-order fractional Bloch-Torrey equation is developed in this study. The variable-order Riesz fractional derivative and variable diffusion coefficient are introduced to simulate diffusion phenomena in heterogeneous, irregularly shaped biological tissues. The fractional Bloch-Torrey equation is discretised by the weighted and shifted Grünwald-Letnikov formula with respect to time and by finite volume method with respect to space. Additionally, to improve the accuracy of the numerical method for dealing with non-smooth solutions, some appropriate correction terms are introduced in the time approximation. Numerical examples on different irregular domains with various non-smooth solutions are explored to verify the effectiveness of the presented numerical scheme. Furthermore, we also solve the coupled variable-order fractional Bloch-Torrey equation on a human brain-like domain which is composed of white matter and grey matter. The solution behaviour of this model is compared with that of the constant-order fractional model, and the transverse magnetisation in magnetic resonance imaging on different biological micro-environments are graphically analysed. Results suggest that incorporation of the non-local property and spatial heterogeneity in the model by use of fractional operators can lead to a better capability for capturing the complexities of diffusion phenomena in biological tissues. This research may provide a basis for further research on the application of fractional calculus to clinical research and medical imaging. © 2021 Elsevier Ltd

Keyword:

Calculations Clinical research Diffusion Finite volume method Histology Magnetic resonance imaging Medical imaging Numerical methods Tissue

Community:

  • [ 1 ] [Zhang, Mengchen]School of Mathematical Sciences, Queensland University of Technology, GPO Box 2434, Brisbane; QLD; 4001, Australia
  • [ 2 ] [Liu, Fawang]School of Mathematical Sciences, Queensland University of Technology, GPO Box 2434, Brisbane; QLD; 4001, Australia
  • [ 3 ] [Liu, Fawang]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China
  • [ 4 ] [Turner, Ian W.]School of Mathematical Sciences, Queensland University of Technology, GPO Box 2434, Brisbane; QLD; 4001, Australia
  • [ 5 ] [Turner, Ian W.]Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS), Queensland University of Technology (QUT), Brisbane, Australia
  • [ 6 ] [Anh, Vo V.]Faculty of Science, Engineering and Technology, Swinburne University of Technology, PO Box 218, Hawthorn; VIC; 3122, Australia
  • [ 7 ] [Feng, Libo]School of Mathematical Sciences, Queensland University of Technology, GPO Box 2434, Brisbane; QLD; 4001, Australia

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Source :

Computers and Mathematics with Applications

ISSN: 0898-1221

Year: 2021

Volume: 98

Page: 81-98

3 . 2 1 8

JCR@2021

2 . 9 0 0

JCR@2023

ESI HC Threshold:36

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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