Image Analysis for Ultrasound Quality Assurance

Area of Science:

• Medical Imaging
• Diagnostic Ultrasound
• Quality Assurance

Background:

• Ultrasound transducer quality assurance (QA) requires improved tools for periodic evaluation.
• Diagnostic accuracy relies heavily on transducer performance.
• Developing QA protocols involves considerations of complexity, time, accuracy, and automation.

Purpose of the Study:

• To develop and validate a novel protocol for ultrasound transducer QA.
• To assess the efficacy of WAD-QC in analyzing in-air reverberation patterns.
• To establish a quick, efficient, and accurate method for transducer evaluation.

Main Methods:

• Utilized eight ultrasound machines and 12 linear transducers for study.
• Employed WAD-QC software to analyze in-air reverberation patterns.
• Calculated uniformity parameters from normal and defective transducer images, verified with ImageJ.

Main Results:

• WAD-QC demonstrated consistent results in uniformity analysis compared to raw data.
• Mean absolute deviation controls yielded identical results to WAD-QC.
• Image processing results were verified using ImageJ, confirming WAD-QC accuracy.

Conclusions:

• WAD-QC is a powerful tool for analyzing in-air reverberation patterns from ultrasound transducers.
• The developed protocol provides a quick, efficient, and accurate QA mechanism.
• This method supports continuous development in ultrasound transducer QA.