A New Method of Muscle Strength Testing Using a Quantitative Ultrasonic Technique and a Convolutional Neural Network

Collection of all quantitative ultrasonic data was performed by one ultrasound physician. The Aixplorer® series color ultrasonic diagnostic instrument of Supersonic Imagine (France) and an L15-4 linear array probe were used. The medial head of the quadriceps muscle was measured. The subjects wore short pants that settled above the knees. Tight pants were avoided to prevent impaired venous return, which can affect the power Doppler ultrasonography result. The subjects did not exercise within half an hour before testing. Two-dimensional images of the subjects' muscles were collected in a quiet resting state and used to measure muscle thickness and the average echo intensity. The power Doppler images were used to measure the level of muscle hyperemia. The measurements were performed in the 0° knee extension position and the most prominent part of the medial head of the quadriceps muscle was measured by the ultrasound physician using visualization. The probe angle was perpendicular to the trajectory of the muscle bundle, and the measurement was performed with the muscle in a relaxed state. After the measurements, the knee was restrained to complete the isokinetic muscle strength test. When testing of the last group was completed, the knee was released immediately. The two-dimensional image and the power Doppler image at the same location were captured and the image acquisition time was no more than 3 s.

Inclusion criteria

• no major complaints of muscle numbness, spasm, or atrophy, muscle-related physical activity impairment or joint swelling and pain
• no obvious malformation in the lower limbs
• no disease history in the musculoskeletal system, nervous system, and peripheral blood,
• no history of severe trauma in the lower limbs
• joint mobility and muscle tension met the thresholds of muscle strength assessments
• no severe osteoporosis
• no acute inflammation or acute bone fracture repair
• between 18-55 years of age

Exclusion criteria

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