Signature Mapping™ is the next step in technology evolution beyond pattern recognition. It is a dynamic, iterative process, in which specifically designed algorithms impact image pixels causing the group of pixels representing each tissue to respond in a unique collective way.
This response-based reaction generates new groups of “self-classifying” pixels. These self-classifying groups provide a unique set of signatures for each tissue or material. The resulting “signature mapped” data, enables the implementation of a rich set of imaging tools that provide new clinical approaches for medicine. These include image clarification and visualization, feature extraction, tissue characterization and quantification, disease detection, monitoring and staging. Process works effectively across all imaging modalities.