The quality assurance (QA) of ultrasound transducers is often identified as an area requiring continuous development in terms of the tools available to users. Periodic evaluation of the transducers as part of the QA protocol is important, since the quality of the diagnostics. Some of the key criteria determining the process of developing a QA protocol include the complexity of setup, the time required, accuracy, and potential automation to achieve scale. For the current study, a total of eight different ultrasound machines (12 transducers) with linear transducers were obtained separately. The results from these 12 transducers were used to validate the protocol. WAD-QC was used as part of this study to assess in-air reverberation patterns obtained from ultrasound transducers. Initially, three in-air reverberation images obtained from normal transducers and three obtained from defective transducers were used to calculate the uniformity parameters. The results were applied to 12 other images obtained from independent sources. Image processing results with WAD-QC were verified with imageJ. A comparison of raw data for uniformity showed consistency, and using controls based on mean absolute deviation yielded identical results. WAD-QC can be considered as a powerful mechanism for quick, efficient, and accurate analysis of in-air reverberation patterns obtained from ultrasound transducers.

超声换能器的质量保证 (QA) 通常被认为是需要持续开发用户可用工具的领域。作为 QA 协议的一部分，定期评估传感器很重要，因为诊断的质量。确定开发 QA 协议过程的一些关键标准包括设置的复杂性、所需的时间、准确性和实现规模的潜在自动化。对于当前的研究，分别获得了总共八台不同的带有线性换能器的超声机（12 个换能器）。这 12 个传感器的结果用于验证协议。WAD-QC 被用作这项研究的一部分，以评估从超声换能器获得的空中混响模式。最初，使用从正常换能器获得的三幅空中混响图像和从有缺陷的换能器获得的三幅图像来计算均匀性参数。结果应用于从独立来源获得的其他 12 张图像。WAD-QC 的图像处理结果通过 imageJ 进行了验证。原始数据的一致性比较显示出一致性，使用基于平均绝对偏差的控制产生相同的结果。WAD-QC 可以被认为是一种强大的机制，可以快速、高效和准确地分析从超声换能器获得的空中混响模式。原始数据的一致性比较显示出一致性，使用基于平均绝对偏差的控制产生相同的结果。WAD-QC 可以被认为是一种强大的机制，可以快速、高效和准确地分析从超声换能器获得的空中混响模式。原始数据的一致性比较显示出一致性，使用基于平均绝对偏差的控制产生相同的结果。WAD-QC 可以被认为是一种强大的机制，可以快速、高效和准确地分析从超声换能器获得的空中混响模式。