A novel elastography approach that uses sinusoidal motion encoding gradients to encode the displacement time-history following a single transient acoustic radiation force excitation is presented. This technique may be particularly well suited for performing elastography before, during, and after MR-guided focused ultrasound treatments since the same device used for therapy is used as an excitation source for elastography.
MR-guided focused ultrasound (MRgFUS) is a completely non-invasive ablation technique that is used for a number of clinical indications. The mechanical properties of ablated tissue often differ from those of healthy tissue1-3. Evaluating tissue stiffness during MR-guided focused ultrasound (MRgFUS) procedures could complement current treatment monitoring and assessment methods. While magnetic resonance elastography (MRE) enables in-vivo determination of tissue shear stiffness, adding the external driver required for mechanical excitation to an already complex MRgFUS setup may not be feasible. In this work we present a novel elastography approach that uses the MRgFUS transducer to generate transient mechanical excitations and sinusoidal motion encoding gradients (MEGs) to encode the resulting displacement time-history in a way that enables the tissue shear wave speed to be calculated. Since the therapy device is used as the excitation source for elastography, this method could be readily integrated into the workflow of MRgFUS therapies.
Using the shear component of the Green’s function of Bercoff et al.4 the mechanical shear waves generated by the acoustic radiation force (ARF) from a focused ultrasound (FUS) transducer can be modeled as:$$d(\vec{r},t)=f(\vec{r},t)\otimes g_s(\vec{r},t)$$where $$$d(\vec{r},t)$$$ is the displacement along the FUS propagation direction, $$$f(\vec{r},t)$$$ is the FUS generated forcing distribution, $$$\vec{r}$$$ is the in-plane radial position relative to the FUS beam axis, $$$r=|\vec{r}|$$$, $$$\otimes$$$ is the multi-dimensional convolution in both $$$\vec{r}$$$ and time $$$t$$$ and$$g_s(\vec{r},t)=\frac{1}{4\pi\rho{c_{s}}}\frac{1}{\sqrt{2\pi\nu_{s}{t}}}\frac{1}{r}\cdot{e^{\frac{-(c_st-r)^2}{2 \nu_{s} t}}}$$ is the Green’s function for the $$$y=0$$$ plane where $$$c_s$$$ is the shear wave speed, $$$\nu_s$$$ is the kinematic shear viscosity, and $$$\rho$$$ is the tissue density. The time history of this transient tissue displacement can be encoded in MR image phase using an MEG, $$$G(t)$$$, whose direction is parallel to the FUS beam. The accrued MR image phase can be written:$$\phi(\vec{r})=\gamma\int_0^T G(t){\cdot}d(\vec{r},t)dt$$where the MEG is executed on the interval $$$[0,T]$$$. If two phase images $$$\phi_c$$$ and $$$\phi_s$$$ are acquired using gradient waveform shapes $$$G_c=A{cos(\omega{t})}$$$ and $$$G_s=A{sin(\omega{t})}$$$, respectively, where $$$A$$$ is the peak gradient amplitude and $$$\omega$$$ is the frequency of the oscillatory waveform, a synthetic phase image can be constructed$$Z=\phi_c+i\phi_s=\gamma{A}\int_0^Td(\vec{r},t){\cdot}{e^{i\omega{t}}}dt.$$ For a reasonably compact displacement packet, $$$d(\vec{r},t)$$$, $$$Z$$$ becomes:$$Z\propto{e^{i \omega t_a}}$$where the arrival time at position $$$r$$$ is$$t_a=\int_0^r\frac{dr'}{c_s(r')}.$$ The shear wave speed map can be readily calculated from the two equations above:$$c_s(\vec{r})=\frac{\omega}{\frac{d}{dr}(\angle{Z})}$$where $$$\angle{Z}$$$ is the complex argument of $$$Z$$$. The above equation provides an elegant approach to interrogating the shear stiffness (or shear wave speed) in settings where FUS generated ARF generated excitations are possible.
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