Quality assurance of ultrasound systems: current status and review of literature

Risk-based ultrasound probe quality assurance - a single center proof-of-concept study

Ultrasound probe quality assurance is an underserved and underregulated area in medical imaging. While several testing methods exist, their availability and adoption remains varied, and the frequency of testing is often insufficient. Here we aimed to conduct a user-driven simple and rapid probe quality testing approach and to evaluate its rationale.Testing was based on physical examination of probe integrity (all probes) and in-air reverberation check (for curvilinear and linear array probes), findings, as well as probe age were registered. Prior to assessment, probes were divided into a high-risk vs. a low-risk category, based on the perceived risk of probe damage as a result of the typical application (e.g., non-invasive vs. interventional, inpatient vs. point-of-care).17.4% of the low-risk and 31.4% of high-risk probes demonstrated physical wear or damage. Reverberation artifacts were significantly more frequent (68%) in the high-risk category vs. the low-risk one (29.4%). Probes with either physical or reverberation faults were significantly older on average.The simple, rapid investigational technique uncovered an alarming percentage of probe damage or faults. It also identified immediately solvable technical issues (e.g., poor cable contact mimicking dropout). High-risk probe usage resulted in an increased rate of reverberation errors and physical damage. Risk-based, frequent rapid observational testing of ultrasound probes could substantially improve both diagnostic quality and patient safety.

Key Points to Select a Device for Dermatologic Ultrasound

What points to consider when selecting a device for practicing dermatologic ultrasound is an excellent question. After we met the requisites published in the guidelines for practicing dermatologic ultrasound, it is necessary to consider the main objective of the use because it is not the same to be focused mostly on the avoidance of the puncture of important facial vessels such as the case of injectors of cosmetic fillers in comparison to the use of operators that need to deal with the diagnosis and monitoring of a wide range of dermatologic pathologies. Currently, a broad variety of ultrasound devices meets the minimum requirements for practicing these examinations in the market. Thus, small, portable, and high-end devices may present advantages and limitations that must be balanced according to the primary purposes and the budget. Moreover, the shape and footprint of the probes can make difficult or facilitate a dermatologic procedure. Other points to consider are the type of storage and the need for technical service. In summary, there are key points that we need to consider when we select a dermatologic ultrasound device in dermatology or aesthetics.

Improvement of Ultrasound Image Quality Using Non-Local Means Noise-Reduction Approach for Precise Quality Control and Accurate Diagnosis of Thyroid Nodules

This study aimed to improve the quality of ultrasound images by modeling an algorithm using a non-local means (NLM) noise-reduction approach to achieve precise quality control and accurate diagnosis of thyroid nodules. An ATS-539 multipurpose phantom was used to scan the dynamic range and gray-scale measurement regions, which are most closely related to the noise level. A convex-type 3.5-MHz frequency probe is used for scanning according to ATS regulations. In addition, ultrasound images of human thyroid nodules were obtained using a linear probe. An algorithm based on the NLM noise-reduction approach was modeled based on the intensity and relative distance of adjacent pixels in the image, and conventional filtering methods for image quality improvement were designed as a comparison group. When the NLM algorithm was applied to the image, the contrast-to-noise ratio and coefficient of variation values improved by 28.62% and 19.54 times, respectively, compared with those of the noisy images. In addition, the image improvement efficiency of the NLM algorithm was superior to that of conventional filtering methods. Finally, the applicability of the NLM algorithm to human thyroid images using a high-frequency linear probe was validated. We demonstrated the efficiency of the proposed algorithm in ultrasound images and the possibility of capturing improved images in the dynamic range and gray-scale region for quality control parameters.