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- Title
Applying Taguchi Methodology to Optimize the Brain Image Quality of 128-Sliced CT: A Feasibility Study.
- Authors
Tseng, Hsien-Chun; Lin, Hung-Chih; Tsai, Yu-Che; Lin, Cheng-Hsun; Changlai, Sheng-Pin; Lee, Yueh-Chun; Chen, Chien-Yi
- Abstract
Featured Application: The Taguchi methodology can effectively optimize brain gray/white matter CT image quality by finite combinations of five parameters with an auxiliary slit gauge and solid water plates. The methodology can be applied in other medical facilities in similar scenarios and the slit gauge solidifies the image quality via a quantified calculation instead of a manual judgement. Injuries due to traffic accidents have been significant causes of death in Taiwan and traffic accidents have been most common in recent years. Brain computed tomography (CT) examinations can improve imaging quality and increase the value of an imaging diagnosis. The image quality of the brain gray/white matter was optimized using the Taguchi design with an indigenous polymethylmethacrylate (PMMA) slit gauge to imitate the adult brain and solid water phantoms. The two gauges without coating contrast media were located inside the center of a plate to simulate the brain and scanned to obtain images for further analysis. Five major parameters—CT slice thickness, milliampere-seconds, current voltage, filter type, and field of view—were optimized. Analysis of variance was used to determine individual interactions among all control parameters. The optimal experimental acquisition/settings were: slice thickness 2.5 mm, 300 mAs, 140 kVp, smooth filter, and FOV 200 mm2. Signal-to-noise was improved by 106% (p < 0.001) over a routine examination. The effective dose (HE) is approximately 1.33 mSv. Further clinical verification and the image quality of the ACR 464 head phantom is also discussed.
- Subjects
TAIWAN; BRAIN imaging; BRAIN tomography; HEALTH facilities; TRAFFIC fatalities; TRAFFIC accidents; CONTRAST media
- Publication
Applied Sciences (2076-3417), 2022, Vol 12, Issue 9, pN.PAG
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app12094378