the basis for the determination of burn depth is the acquisition of sufficient specific measurement parameters which provide the information about the local status of the burnt skin. The multispectral imaging system detects four specific relevant parameters. Due to the complexity and variability of the entity "burnt skin", the relevant skin parameters cannot be determined directly from the individual measurement parameters. The information needed for safe and objective classification has to be obtained by means of additional contextual features, i.e. the processing of the four spectral images.
The classification of the degree of burns is accomplished by complex knowledge-based image data processing performed by the software BurnAlyzer. Highly specialized image data processing methods (data processing level) are supplemented by an information processing level, so that, using an adaptive process, all relevant information contained in the multispectral image data is used for classification.
As a result this information-processing capability and its in-built explicit knowledge base, the system has a continuous learning ability.
- RGB image for documentation; composed of the narrow band channels in the blue, green and red spectrum; therefore it produces more specific contrast than a normal colour picture
- False colour image for diagnosis; the burn degree is shown in different colours (blue: superficial (2a), green: deep dermal (2b), red: full thickness (3))
- Retraceable storage of medical findings
- Interface for documentation software BurnCase 3D e.g.