Ultrasound image processing to estimate the structural and functional properties of mouse skeletal muscle.

Noninvasive imaging techniques are increasingly used for monitoring muscle behavior in mice. However, muscle is a complex tissue that exhibits different properties under passive and active conditions. In addition to structural properties, it is also important to analyze functional characteristics. At present, such information can be obtained with ultrasound elastography. However, this technique is poorly used for small rodent models (mice and gerbils). Thus, this study aims at establish referent hindlimb muscle data, and experimental guidelines, for wild-type (WT) control mice as well as the TIEG1 knockout (KO) mouse model that is known to exhibit skeletal muscle defects. Ultrasound was performed with the Aixplorer machine using a SLH 20-6 linear transducer probe (2.8 cm footprint). A region of interest (ROI) was placed around a superficial group of muscles. Subsequently, from the B-mode image, a classification of all the muscles and ultrasound biomarkers such as echo intensity and texture anisotropy have been determined. The influence of the gain setting (from 40% to 70%) was analyzed on these parameters. Moreover, the elasticity (E) was also measured within the ROI. This study provides a suitable methodology for collecting experimental data: 1) the correct range of gain (between 50% and 70%) to apply for the ultrasound measurement of muscle structure, 2) the structural and functional referent data for a group of healthy muscles, 3) the gray scale index, the texture anisotropy and the elasticity (ETIEG1 KO = 36.1 ± 10.3 kPa, E = 44.4 ± 13.4 kPa) parameters, which were obtained for a group of muscles as a function of genotype.