Optimizing quality of digital mammographic imaging using Taguchi analysis with an ACR accreditation phantom. Issue 4 (3rd July 2016)

• Record Type: Journal Article
• Authors: Chen, Ching-Yuan; Pan, Lung-Fa; Chiang, Fu-Tsai; Yeh, Da-Ming; Pan, Lung-Kwang
• Is Part Of: Bioengineered. Volume 7:Issue 4(2016)
• Page Start: 226
• Page End: 234
• Publication Date: 2016-07-03
• Subjects: characteristic -- image -- mammography -- phantom -- quality -- Taguchi; Biomedical engineering -- Periodicals; Biotechnology -- Periodicals; Microbiology -- Periodicals; 660.6
• DOI: 10.1080/21655979.2016.1197612
• Languages: English
• ISSNs: 2165-5987

Abstract

ABSTRACT: This work demonstrated the improvement of the visualization of lesions by modulating the factors of an X-ray mammography imaging system using Taguchi analysis. Optimal combinations of X-ray operating factors in each group of level combination were determined using the Taguchi method, in which all factors were organized into only 18 groups, yielding analytical results with the same confidence as if each factor had been examined independently. The 4 considered operating factors of the X-ray machine were (1) anode material (target), (2) kVp, (3) mAs and (4) field of view (FOV). Each of these factors had 2 or 3 levels. Therefore, 54 (2×3×3×3 = 54) combinations were generated. The optimal settings were Rh as the target, 28 kVp, 80 mAs and 19×23 cm 2 FOV. The grade of exposed mammographic phantom image increased from the automatic exposure control (AEC) setting 70.92 to 72.00 under the optimal setting, meeting the minimum standard (70.00) set by Taiwan's Department of Health. The average glandular dose (AGD) of the exposed phantom, 0.182 cGy, was lower than that, 0.203 cGy, under the AEC setting. The Taguchi method was extremely promising for the design of imaging protocols in clinical diagnosis.