Adaptive heart rate prediction algorithm for computed tomography imaging

摘要

A database is created that contains a plurality of data items gathered from many human beings wherein the data items affect the heart rate of a patient during a CT imaging procedure. Regression analysis is performed on the data in the database to derive an algorithm which defines an predicted heart rate value as a function of the plurality of data items. Specifically, values for the plurality of data items are obtained for the particular patient to be imaged and the algorithm is applied to those data items to predict the patient's heart rate which will occur during the CT imaging procedure. The predicted heart rate is employed to defined operating parameters of the CT procedure, such as the rate at which the x-ray source and detector rotate around a patient and the speed at which the patient moves through the imaging plane.