Using Fuzzy Inference System to Develop an Optimal Tube Voltage and Tube Current Chart For Radiation Reduction in Pediatric CT Examinations

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Abstract: Many different techniques and researches on reducing the radiation dose for computed tomography (CT) examinations have been reported and developed in recent 30 years. However, most those technologies are not practical enough to enable them to be directly and easily implemented in clinic real applications because there is no directly relationship between those techniques and the actual CT scanning parameters to be applied on most clinic pediatric CT examinations. In this study, a practical and flexible technique chart is developed to enable radiologists to select the optimal tube voltage and tube current for the given body-size of the pediatric patients with the desired CT dose index (CTDIvol). This chart can be easily implemented in most clinics for routine pediatric CT examinations.

International Journal of Electrical Engineering and Computer Science, E-ISSN: 2769-2507, Volume 1, 2019, Art. #4

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Ying Bai, Xue Bai, Sunil Gupta, Dali Wang, "Using Fuzzy Inference System to Develop an Optimal Tube Voltage and Tube Current Chart For Radiation Reduction in Pediatric CT Examinations," International Journal of Electrical Engineering and Computer Science, vol. 1, pp. 19-23, 2019, DOI:
Ying Bai, Xue Bai, Sunil Gupta, Dali Wang. Using Fuzzy Inference System to Develop an Optimal Tube Voltage and Tube Current Chart For Radiation Reduction in Pediatric CT Examinations. International Journal of Electrical Engineering and Computer Science. 2019;1:19-23.
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