کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5011402 1462593 2017 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Research paperExact solutions to the fractional time-space Bloch-Torrey equation for magnetic resonance imaging
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
Research paperExact solutions to the fractional time-space Bloch-Torrey equation for magnetic resonance imaging
چکیده انگلیسی


- The full fractional Bloch-Torrey setting for magnetic resonance imaging is solved.
- Solutions are given by convolution of extended Mittag-Leffler/Lauricella functions.
- Analytical solutions replicate super- and sub-diffusive regimes in signal decay.
- Residual signal phase shifts due to incomplete spin refocusing are also captured.
- This allows an estimation of tissue properties based on exact diffusive processes.

The quantification of anomalous diffusion is increasingly being recognised as an advanced modality of analysis for the evaluation of tissue microstructure in magnetic resonance imaging (MRI). One powerful framework to account for anomalous diffusion in biological and structurally heterogeneous tissues is the use of diffusion operators based on fractional calculus theory, which generalises the physical principles of standard diffusion in homogeneous media. However, their non-locality makes analytical solutions often unavailable, limiting the applicability of these modelling and analysis techniques. In this paper, we derive compact analytical signal decays for practical MRI sequences in the anisotropic fractional Bloch-Torrey setting, as described by the space fractional Laplacian and importantly the time Caputo derivative. The attained solutions convey relevant characteristics of MRI in biological tissues not replicated by standard diffusion, including super-diffusive and sub-diffusive regimes in signal decay and the diffusion-driven incomplete refocusing of spins at the end of the sequence. These results may therefore have significant implications for advancing the current interpretation of MRI, and for the estimation of tissue properties based on exact solutions to underlying diffusive processes.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Communications in Nonlinear Science and Numerical Simulation - Volume 52, November 2017, Pages 91-109
نویسندگان
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