Literature DB >> 27282343

Optimizing quality of digital mammographic imaging using Taguchi analysis with an ACR accreditation phantom.

Ching-Yuan Chen1,2, Lung-Fa Pan1,3, Fu-Tsai Chiang1,4, Da-Ming Yeh5,6, Lung-Kwang Pan1.   

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.

Keywords:  Taguchi; characteristic; image; mammography; phantom; quality

Mesh:

Year:  2016        PMID: 27282343      PMCID: PMC4970587          DOI: 10.1080/21655979.2016.1197612

Source DB:  PubMed          Journal:  Bioengineered        ISSN: 2165-5979            Impact factor:   3.269


  10 in total

1.  Digital mammography performed with computed radiography technology.

Authors:  B Jouan
Journal:  Eur J Radiol       Date:  1999-07       Impact factor: 3.528

2.  A comparison of digital and screen-film mammography using quality control phantoms.

Authors:  P E Undrill; A D O'Kane; F J Gilbert
Journal:  Clin Radiol       Date:  2000-10       Impact factor: 2.350

3.  Optimization for solidification of low-level-radioactive resin using Taguchi analysis.

Authors:  L K Pan; B D Chang; D S Chou
Journal:  Waste Manag       Date:  2001       Impact factor: 7.145

4.  How good is the ACR accreditation phantom for assessing image quality in digital mammography?

Authors:  Walter Huda; Anthony M Sajewicz; Kent M Ogden; Ernest M Scalzetti; David R Dance
Journal:  Acad Radiol       Date:  2002-07       Impact factor: 3.173

Review 5.  Quality and variability in diagnostic radiology.

Authors:  Hillel R Alpert; Bruce J Hillman
Journal:  J Am Coll Radiol       Date:  2004-02       Impact factor: 5.532

6.  Optimizing the TLD-100 readout system for various radiotherapy beam doses using the Taguchi methodology.

Authors:  Chien Yi Chen; Kuo Chi Liu; Hsin Hsiung Chen; Lung Kwang Pan
Journal:  Appl Radiat Isot       Date:  2009-12-16       Impact factor: 1.513

7.  Computerized evaluation of mammographic image quality using phantom images.

Authors:  G Dougherty
Journal:  Comput Med Imaging Graph       Date:  1998 Sep-Oct       Impact factor: 4.790

8.  Evaluation of exposure in mammography: limitations of average glandular dose and proposal of a new quantity.

Authors:  N Geeraert; R Klausz; S Muller; I Bloch; H Bosmans
Journal:  Radiat Prot Dosimetry       Date:  2015-04-20       Impact factor: 0.972

Review 9.  What's new in mammography.

Authors:  G Simonetti; E Cossu; M Montanaro; C Caschili; V Giuliani
Journal:  Eur J Radiol       Date:  1998-05       Impact factor: 3.528

10.  Effectiveness of mammographic screening for breast cancer in women aged over 50 years in Japan.

Authors:  T Morimoto; M Sasa; T Yamaguchi; H Kondo; Y Sagara; Y Kuwamura; S Yamamoto; T Tada
Journal:  Jpn J Cancer Res       Date:  1997-08
  10 in total
  1 in total

1.  Optimizing cardiac CT angiography minimum detectable difference via Taguchi's dynamic algorithm, a V-shaped line gauge, and three PMMA phantoms.

Authors:  Lung-Fa Pan; Yi-Hua Chen; Chun-Chieh Wang; Bing-Ru Peng; Samrit Kittipayak; Lung-Kwang Pan
Journal:  Technol Health Care       Date:  2022       Impact factor: 1.205

  1 in total

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