We developed a technology that the muscle composition ratio can be non-invasively visualize at q-space imaging. And, these MR image confirmed validation by comparison to the skeletal muscle histology. We scanned diffusion data using 7T MRI scanner and performed analysis to calculate QSI index. The mice lower leg was stained by several solutions to enable muscle typing. As a result, the cell size by sections showing the correlation between the QSI indices. Moreover, the visualization in a staining compared, it is possible to obtain the same image. We confirmed validation by comparing the stained image to QSI.
The skeletal muscle cells can be differentiated into two cell types based on structural differences such as cell size and mitochondria number5. In this study, we attempted to type the several restricted cell structure at QSI. Distribution of the fiber type in the TA and SOL of mice lower legs is disproportionately large, which was confirmed under microscopy. The cell size measured by stained images show the correlation between the QSI indices (Fig.3). Slightly lower cell diameter in central nervous regions by QSI are known to be measured6. According to this principle, similar tendencies in skeletal muscle were observed. Moreover, the visualization comparing a stained image and QSI image (Fig.4), it is possible to obtain the same result that it can be distinguished the skeletal muscle fiber type. We confirmed validation by comparing stained images to QSI. Although challenges such as length of the imaging time remain, this technique is expected to be to be very significant as a tool for non-invasive classification of skeletal muscle fiber type.
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Figure 1. Select region of interest and stained images
For MRI analysis, setting of ROI of mouse lower leg skeletal muscle using morphological imaging ROI is set on morphological images obtained by T2-weighted spin echo pulse sequence. The area surrounded by a blue area represents the tibialis anterior muscle: TA. The area surrounded by a red area represents the soleus muscle: SOL. The histology of each of the regions is shown on both sides. These are frozen sections. Skeletal muscle type1 was stained by BA-D5 solutions; type2a was SC-71; and type2b was BF-F3.
Figure 2. Diffusion signal intensity curve
For the QSI pulse sequence, we used the diffusion-weighted stimulated-echo method pulse sequence. The imaging parameters used in the present study were as follows: repetition time (TR)/echo time (TE), 4000/12.6 ms; Δ/δ, 101.2/3.6 ms; input b-value, 0 – 4000 s/mm2. This blue signal intensity curve is SOL, red one is TA in this figure.
Figure 3. The result value of QSI and stained images
Left of this graph is the diameter [μm] of the skeletal muscle cells was measured from sections microscopically. The center is a displacement, the right is the kurtosis by QSI analysis. Any values significant difference between the TA and SOL have appeared. Cell diameters measured microscopically and the displacement using QSI were very similar.
Figure 4. Visualization of skeletal muscle fiber type
The figure on the left shows a stained image of the skeletal muscle cells; the center shows the cell diameter calculated by displacement; the right shows kurtosis. All the figures are superimposed morphological images (SE-T2WI). The color bar was set a median value is black and from the histogram. Lower signal was set to be blue and the higher was set to be in the red. Red is fast muscle and green is slow muscle on histological images.