Optimizing the Ultrasound Image Quality of Carotid Artery Stenosis Patients via Taguchi's Dynamic Analysis and an Indigenous Water Phantom

APPLIED SCIENCES-BASEL(2022)

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摘要
This study optimized the ultrasound image of carotid artery stenosis using Taguchi dynamic analysis and an indigenous water phantom. Eighteen combinations of seven essential factors of the ultrasound scan facility were organized according to Taguchi's L-18 orthogonal array. The seven factors were assigned as follows: (1) angle of probe; (2) signal gain; (3) resolution vs. speed; (4) dynamic range; (5) XRES; (6) zoom; (7) time gain compensation. An indigenous water phantom was customized to satisfy the quantified need in Taguchi's analysis. Unlike the conventional dynamic Taguchi analysis, an innovative quantified index, the figure of merit (FOM), was proposed to integrate four specific quality characteristics, namely (i) average difference between the practical scan and theoretically preset area (78.5, 50.2 and 12.6 mm(2)) of stenosis, (ii) standard deviation of the average, (iii) practical scan's sensitivity beta to various stenosis diameters (10, 8, and 4 mm), and (iv) correlation coefficient r(2) of the linear regressed sensitivity curve. The highest value (FOM = 0.413) was furnished by the optimal combination of factors on 18 groups under study, yielding high r(2) and low beta or standard deviation values and the best quality of ultrasound images for the further clinical diagnosis. The comparison between FOM and the conventional signal-to-noise (S/N) ratio in Taguchi's analysis revealed that FOM compiled more quality characteristics that were superior by nature to fulfill the practical need in clinical diagnosis. The alternative choice in ultrasound scan optimization can be based on stenosis diameter variation from a different perspective to be explored in the follow-up study.
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关键词
carotid artery stenosis, ultrasound image quality, Taguchi's dynamic analysis, orthogonal array, figure of merit (FOM), signal-to-noise (S, N) ratio, water phantom
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