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Knowledge-based approach to medical image processing monitoring

The clinical use of image processing requires both medical knowledge and expertise in image processing techniques. We have designed a knowledge-based interactive quantification support system (IQSS) to help the medical user in the use and evaluation of medical image processing, and in the development of specific protocols. As the user proceeds according to a heuristic and intuitive approach, our system is meant to work according to a similar behavior. At the basis of the reasoning of our monitoring system, there are the semantic features of an image and of image processing. These semantic features describe their intrinsic properties, and are not symbolic description of the image content. Their obtention requires modeling of medical image and of image processing procedures. Semantic interpretation function gives rules to obtain the values of the semantic features extracted from these models. Then, commonsense compatibility rules yield to compatibility criteria which are based on a partial order (a subsumption relationship) on image and image processing, enabling a comparison to be made between data available to be processed and appropriate image processing procedures. This knowledge-based approach makes IQSS modular, flexible and consequently well adapted to aid in the development and in the utilization of image processing methods for multidimensional and multimodality medical image quantification.