The magnetic properties of skeletal muscle tissue were examined in a phantom consisting of a piece of muscle tissue embedded in agar. Frequency perturbation maps were generated from phase maps measured at 7T, with the phantom oriented at 29 angles to the external magnetic field. Using a novel minimisation technique, susceptibility and chemical exchange properties of the muscle tissue were obtained simultaneously. From this it was determined that skeletal muscle is significantly more diamagnetic than agar; there is a small anisotropic susceptibility component and a large, orientation independent positive offset within the tissue, hypothesised to be due to chemical exchange.
Previous research has commonly employed isotropic susceptibility, $$$\chi_{I}$$$, as a means to explain the contrast provided by frequency perturbations in phase images. However, recent work has indicated that isotropic susceptibility is not always sufficient to explain the measured frequency perturbations. One method of further describing the frequency perturbations involves removing the assumption that susceptibility is isotropic and describing susceptibility by a generalised 3x3 symmetric susceptibility tensor,2 $$$\chi$$$. In addition, the chemical exchange, $$$E$$$, properties of tissue have been described by an orientation independent, local offset.3-4 Here a novel minimisation technique was developed, based on the MMSR-STI method,5 but with an additional term describing chemical exchange. The following minimisation was applied to frequency maps acquired with the sample oriented at multiple angles to the static field, $$$B_{0}$$$:
$$min_{\chi,E}\Bigg(\left\| W_{0}\left(\Delta B-B_{0}F^{-1}\left[F\left[\chi\right]\cdot F\left[D\right]\right]-\frac{2\pi E}{\gamma}\right)\right\|_{2}^{2}+\sum_{i=1}^{3}\sum_{j=i+1}^{3}\beta_{1}^{2}\left(\left\|W_{1}\chi_{ij}\right\|_{2}^{2}+ \left\|W_{1}\left(\chi_{ii}-\chi_{jj}\right)\right\|_{2}^{2}\right)+\beta_{2}^{2}\left\|W_{2}E\right\|_{2}^{2}\Bigg)$$
where $$$W_{0}$$$ is the magnitude image, $$$\Delta B$$$ are the measured frequency perturbations, $$$F$$$ and $$$F^{-1}$$$ are the Fourier & inverse Fourier transforms, $$$D$$$ is the dipole field,2 $$$\gamma$$$ is the gyromagnetic ratio, $$$W_{1}$$$ is an isotropic weighting mask, $$$W_{2}$$$ is the exchange weighting mask and $$$\beta_{1}$$$ and $$$\beta_{2}$$$ are regularisation coefficients.
A sample of pork-tenderloin was trimmed and stripped of external fat prior to being embedded in agar (1.2% agar, 0.9% NaCl). Using a Philips Achieva 7T MR scanner, the sample underwent a series of dual echo GE scans (resolution =1mm3, 160x160x160mm3, TE1=8ms and TE2=20ms, TR=21.6ms, flip angle=15o, acquisition time=553s). The sample was scanned at 29 angles with respect to the static field. Phase was processed via the complex division of the two phase echoes, followed by phase unwrapping using the Hussein, path-based unwrapping algorithm,6 and filtering using v-SHARP with high-pass regularisation of 0.005mm,7 and a maximum spherical radius of 8mm. Images were coregistered manually using the mrAlign toolbox.8 Using the equation outlined above, an LSQR fitting algorithm was implemented to determine $$$\chi$$$ and $$$E$$$ simultaneously. $$$\beta_{1}$$$ and $$$\beta_{2}$$$ were both set to 108 to force the regularisation conditions. $$$W_{1}$$$ was defined to force isotropy in regions surrounding the muscle tissue .$$$W_{2}$$$ was defined as the mask external to the agar and muscle tissue, to prevent fitting of chemical exchange to the regions outside the phantom. $$$W_{0}$$$, $$$W_{1}$$$ and $$$W_{2}$$$ are displayed in Figure 1.
Examples of the measured frequency perturbation maps are shown in Figure 2. The susceptibility tensor, $$$\chi$$$ and chemical exchange, $$$E$$$, maps obtained from the minimisation are shown in Figures 3 & 4. A comparison of measured and simulated frequency perturbations is displayed in Figure 5.
The experimental work has indicated that isotropic susceptibility is not sufficient to explain the frequency perturbations within muscle tissue and an additional chemical exchange component is necessary to describe the contrast within the muscle tissue phantom. Subtraction of the simulated frequency perturbations from the measured frequency perturbations in Figure 5 yields a residual that shows significant contrast only in areas containing air bubbles within the phantom when contributions from both susceptibility and chemical exchange are considered. When only susceptibility contributions are considered, significant contrast remains throughout the entire skeletal muscle sample when examining the residual.
Analysis of Figure 3 reveals that muscle tissue is significantly more diamagnetic that the surrounding agar, with mean isotropic susceptibility values of $$$\chi_{I:muscle}$$$=(-0.11$$$\pm$$$0.02)ppm and $$$\chi_{I:agar}$$$=(0.01$$$\pm$$$0.01)ppm, where $$$\pm$$$ indicates the standard deviation. There is additionally evidence of a small anisotropic susceptibility component. Furthermore, the $$$E$$$ map (Figure 4) indicates that there is significant chemical exchange within the muscle tissue that does not occur within the surrounding agar, with $$$E_{muscle}$$$=(0.03$$$\pm$$$0.01)ppm and $$$E_{agar}$$$=(-0.003$$$\pm$$$0.003ppm). In addition to the residual, artefacts are noted within the $$$\chi$$$ and $$$E$$$ maps surrounding the air bubbles and blood vessels within the tissue. Further work is needed to investigate the origin of the chemical exchange and to characterise the anisotropy in relation to the orientation of muscle fibres, to prepare for in-vivo characterisation of muscle tissue.
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