Literature DB >> 18065249

Anomalous diffusion expressed through fractional order differential operators in the Bloch-Torrey equation.

Richard L Magin1, Osama Abdullah, Dumitru Baleanu, Xiaohong Joe Zhou.   

Abstract

Diffusion weighted MRI is used clinically to detect and characterize neurodegenerative, malignant and ischemic diseases. The correlation between developing pathology and localized diffusion relies on diffusion-weighted pulse sequences to probe biophysical models of molecular diffusion-typically exp[-(bD)]-where D is the apparent diffusion coefficient (mm(2)/s) and b depends on the specific gradient pulse sequence parameters. Several recent studies have investigated the so-called anomalous diffusion stretched exponential model-exp[-(bD)(alpha)], where alpha is a measure of tissue complexity that can be derived from fractal models of tissue structure. In this paper we propose an alternative derivation for the stretched exponential model using fractional order space and time derivatives. First, we consider the case where the spatial Laplacian in the Bloch-Torrey equation is generalized to incorporate a fractional order Brownian model of diffusivity. Second, we consider the case where the time derivative in the Bloch-Torrey equation is replaced by a Riemann-Liouville fractional order time derivative expressed in the Caputo form. Both cases revert to the classical results for integer order operations. Fractional order dynamics derived for the first case were observed to fit the signal attenuation in diffusion-weighted images obtained from Sephadex gels, human articular cartilage and human brain. Future developments of this approach may be useful for classifying anomalous diffusion in tissues with developing pathology.

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Year:  2007        PMID: 18065249     DOI: 10.1016/j.jmr.2007.11.007

Source DB:  PubMed          Journal:  J Magn Reson        ISSN: 1090-7807            Impact factor:   2.229


  34 in total

1.  Temporal scaling characteristics of diffusion as a new MRI contrast: findings in rat hippocampus.

Authors:  Evren Özarslan; Timothy M Shepherd; Cheng Guan Koay; Stephen J Blackband; Peter J Basser
Journal:  Neuroimage       Date:  2012-01-26       Impact factor: 6.556

2.  Anomalous NMR relaxation in cartilage matrix components and native cartilage: fractional-order models.

Authors:  Richard L Magin; Weiguo Li; M Pilar Velasco; Juan Trujillo; David A Reiter; Ashley Morgenstern; Richard G Spencer
Journal:  J Magn Reson       Date:  2011-03-08       Impact factor: 2.229

3.  Detection of axonal degeneration in a mouse model of Huntington's disease: comparison between diffusion tensor imaging and anomalous diffusion metrics.

Authors:  Rodolfo G Gatto; Allen Q Ye; Luis Colon-Perez; Thomas H Mareci; Anna Lysakowski; Steven D Price; Scott T Brady; Muge Karaman; Gerardo Morfini; Richard L Magin
Journal:  MAGMA       Date:  2019-02-15       Impact factor: 2.310

4.  Differentiation of Low- and High-Grade Pediatric Brain Tumors with High b-Value Diffusion-weighted MR Imaging and a Fractional Order Calculus Model.

Authors:  Yi Sui; He Wang; Guanzhong Liu; Frederick W Damen; Christian Wanamaker; Yuhua Li; Xiaohong Joe Zhou
Journal:  Radiology       Date:  2015-06-02       Impact factor: 11.105

5.  Differentiating low- and high-grade pediatric brain tumors using a continuous-time random-walk diffusion model at high b-values.

Authors:  M Muge Karaman; Yi Sui; He Wang; Richard L Magin; Yuhua Li; Xiaohong Joe Zhou
Journal:  Magn Reson Med       Date:  2015-10-31       Impact factor: 4.668

6.  Anisotropic fractional diffusion tensor imaging.

Authors:  Mark M Meerschaert; Richard L Magin; Allen Q Ye
Journal:  J Vib Control       Date:  2015-02-17       Impact factor: 3.095

7.  Attenuated Fractional Wave Equations With Anisotropy.

Authors:  Mark M Meerschaert; Robert J McGough
Journal:  J Vib Acoust       Date:  2014-07-25       Impact factor: 1.583

8.  Capturing complexity of the diffusion-weighted MR signal decay.

Authors:  Richard L Magin; M Muge Karaman; Matt G Hall; Wenzhen Zhu; Xiaohong Joe Zhou
Journal:  Magn Reson Imaging       Date:  2018-10-09       Impact factor: 2.546

Review 9.  Diffusion MRI of cancer: From low to high b-values.

Authors:  Lei Tang; Xiaohong Joe Zhou
Journal:  J Magn Reson Imaging       Date:  2018-10-12       Impact factor: 4.813

10.  Tissue microstructure features derived from anomalous diffusion measurements in magnetic resonance imaging.

Authors:  Qiang Yu; David Reutens; Kieran O'Brien; Viktor Vegh
Journal:  Hum Brain Mapp       Date:  2016-10-18       Impact factor: 5.038

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