An image quality prediction model for optimization of X-ray system performance

Describes a software modeling system for predicting image quality of a radiological X-ray system. As opposed to simulation, this model bases the prediction on several quasi-separable performance measures, called system quantities (SQs). Examples of SQs are modulation transfer function, contrast gain, and noise distribution. Use of the SQs provides results which are more direct than simulation with significantly less computation. The modeling structure is created to be insensitive to the nature of its components or the methods of subsystem modeling. This system is designed primarily to facilitate component selection for new X-ray systems. It can also be used to predict the impact of component changes on existing systems, including incorporation of new technology, and to assist in resolution of discrepancies between expected and measured performance in existing systems.