Abstract
In this paper, we propose the method of predicting patient's abdominal thickness required to select radiographic factors by fuzzy reasoning using triangular-type fuzzy function. In X-ray photography of the radiation domain in medicine, radiographic factors (tube kV, tube mA, and exposure time) have big influence on contrast and granularity of X-ray photograph, and patient's abdominal thickness by the difference in a frame has big influence on the selecting radiographic factors. There are a method of the measured abdominal thickness and a method of using Automatic Exposure Control (AEC) in selecting the method for radiographic factors by a change of patient's abdominal thickness. The method of the measured patient's abdominal thickness is not being correctly performed with the advent of the digital technology. Then, we do fuzzy reasoning from the information on the patient's frame (height, weight) of Obesity Index and Frame Index, and examine whether patient's abdominal thickness can be predicted from the correlation of the fuzzy reasoning value and the measured patient's abdominal thickness. As the result, patient's abdominal thickness (Frontal) was well correlated with Body Mass Index (kg/m2.0 : fuzzy reasoning value) and its abdominal thickness (Lateral) was well correlated with 1.5 Power Index (kg/m1.5 : fuzzy reasoning value) . We show that predicting of patient's abdominal thickness required for X-ray photography is possible by the primary regression equation.
