A knowledge base model for the interpretation of radiographic densities

A knowledge base model suitable for automatic interpretation of densities in digital X-ray images is proposed. A layered model is defined containing relevant knowledge, processes using this knowledge and results provided by the processes themselves. In particular, a three-level approach is proposed: identification of images, their projection and relative quality control; extraction of significant characteristics relative to normal or pathological signs; formulation of the diagnostic hypotheses considering also historical, clinical and laboratory data.