| Abstract [eng] |
An open-access computational prototype algorithm was developed using MATLAB® for the purpose of optimizing Computed Tomography (CT) examination parameters, based on the biometric data of the patient. The program was developed on the basis of CT dose optimization by the means of Automatic Exposure Control (AEC) systems, as well as international recommendations in this field which were formulated in the past decade. The presented program implements machine-based learning, which after entering the patient’s biometric data such as size, shape & age, provides CT Tomography parameters allowing optimization of the doses received by examined patients. The results presented in the work are obtained by testing the functionality of the developed algorithm under different scenarios. The perspectives of practically implementing the program in performing patient Computed Tomography examinations are discussed. The program was presented at Vilnius University Hospital Santaros Klinikos, Centre of Radiology and nuclear medicine, and was evaluated as a potential tool when performing research on patient dose optimization in Computed Tomography. |
