Matrix analysis
Mathematical principles of basic magnetic resonance imaging in medicine
Signal Processing - Theme issue on singular value decomposition
Concepts in Magnetic Resonance: an Educational Journal
Solutions and linearization of the nonlinear dynamics of radiation damping
Concepts in Magnetic Resonance: an Educational Journal
Numerical Techniques in Electromagnetics with MATLAB: Solutions Manual
Numerical Techniques in Electromagnetics with MATLAB: Solutions Manual
Mathematical and Computer Modelling: An International Journal
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The technique used to spot information in Magnetic Resonance Imaging (MRI) uses electromagnetic fields. Even minor perturbations of these magnetic fields can disturb the imaging process and may render clinical images inaccurate or useless. Modelling and numerical simulation of the effects of static field inhomogeneities are now well established. Less attention has been paid to mathematical modelling of the effects of radio-frequency (RF) field inhomogeneities in the imaging process. When considering RF field inhomogeneities, the major difficulty is that the mathematical expression of the magnetisation vector is not anymore explicitly known in contrast with the unperturbed case. Indeed, the Bloch equation becomes an ordinary differential equation with nonconstant coefficients that cannot be solved analytically. The use of standard numerical schemes for ordinary differential equations to compute the magnetisation vector appears to be costly and not well suited for MRI image simulation. In this paper, we present an original method for solving the Bloch equation based on a truncated series expansion of the solution. The computational cost of the method reduces to the computation of the eigenelements of a block tridiagonal matrix of a very small size.