Discrete mathematical model of chest thickness using kernel function for optimum kVp and mAs of computed radiography

The plain chest radiograph is the basic tool in diagnosis and follow-up patients in general times with inexpensive imaging and to demonstrate pathological lesions. Selection an optimum kVp and mAs for the thickness of the Patient can give a qualified radiography and accurate diagnosis. The aim of this study is designing the mathematical model in polynomial equation by using kernel function and least square approximation. And the polynomial equation implemented by the AVR Mega 32 microcontroller for calculating the optimum kVp and mAs. The results of this study has shown that this equipment show the properly value of the optimum exposure and the patient's thickness and which it has an accurate and efficiency. So, this equipment is properly use for radiographic diagnosis with high performance.