Quality Assurance in Medical Ultrasound Imaging Systems

Quality assurance encompasses the systematic procedures and performance checks that ensure medical ultrasound imaging systems operate at peak efficiency, accuracy and safety throughout their service life. Central to these programmes are phantom‐based evaluations, transducer integrity tests and software‐driven image analysis, which together verify key performance metrics such as spatial resolution, contrast sensitivity, depth of penetration and Doppler accuracy. Regular quality checks mitigate the risk of misdiagnosis arising from degraded image fidelity or faulty transducer elements and support compliance with national and international regulatory standards. Advances in automated analysis and standardised protocols have begun to reduce operator dependence, while novel integration of multi-parameter indices allows a holistic view of system performance. Such developments carry global significance as they underpin the reliability of ultrasound across diverse clinical settings, from high‐volume tertiary centres to remote point‐of‐care units.

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Quality Assurance in Medical Ultrasound Imaging Systems publication trend

The graph below shows the total number of articles in quality assurance in medical ultrasound imaging systems across all publications each year (not limited to Nature Index journals).

Technical terms

Transducer: A device that converts electrical signals into ultrasonic waves and vice versa, forming the frontline interface between the scanner and the patient.

Depth of Penetration (DOP): The maximum depth at which an ultrasound system can produce diagnostically useful echoes, reflecting system sensitivity and signal-to-noise performance.

Contrast-to-Noise Ratio (CNR): A measure of the difference in signal intensity between structures of interest and background noise, indicating the system’s ability to distinguish subtle tissue variations.

Pulsed Wave Doppler (PWD): A modality that emits and receives discrete ultrasound pulses to measure blood flow velocities at specific sample volumes, requiring stringent quality checks for accurate haemodynamic assessments.

Kiviat Diagram: A radial chart technique that represents multiple performance parameters as vertices of a polygon, enabling straightforward visual comparison and integrated scoring of system capabilities.

References

1. Investigation of the Impact of Defective Ultrasound Transducers on Clinical Image Quality in Grayscale 2-D Still Images. Ultrasound in Medicine & Biology (2023).
2. Comparative Approach to Performance Estimation of Pulsed Wave Doppler Equipment Based on Kiviat Diagram. Sensors (2024).
3. Comparison of Three Quality Assurance Methods for Clinical Ultrasound Devices. Journal of Medical and Biological Engineering (2025).