A model for integrating image processing into decision aids for diagnostic radiology

Advances in imaging techniques have been mirrored by advances in the use of computers to extract and interpret image data. Helping clinicians to make effective use of this superabundance of information is a key aim of medical informatics research. One approach is to incorporate digital images and image processing within a knowledge-based decision aid for radiologists. This paper describes a generic design for such aids. The work is based on an abstract model of decision-making which is used to organize the presentation of information from a knowledge base. We describe a system in which the model of decision-making is augmented to describe processes underlying image interpretation. The augmented model, implemented as a logic program, is used to control the application of image processing operators to detect and describe radiological signs. Through the use of this model we are able to combine information from image processing with information from a symbolic knowledge base. The operation of the model is illustrated by considering three different applications in the domain of breast X-rays or mammograms.