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REGION OF INTEREST CODING IN MEDICAL IMAGES USING DIAGNOSTICALLY SIGNIFICANT BITPLANES

Accelerated expansion of healthcare informatics has been inspirational to further innovations in the associated technical areas. Sophisticated diagnostic imaging equipments are generating detailed medical images corresponding to various imaging modalities. These are usually rich in radiological content and the associated file sizes are large. From this data, to identify and extract the region of interest (ROI) relevant to the clinical user with specificity of patient health information is critical to accurate diagnosis. Also the doctors prefer imageprocessing solutions that have the scope for integrated, interactive and subjective evaluation of radiological information. Based on these observations, a method to code ROI by prioritized combination of diagnostically significant bitplanes has been presented. This method has applications in the areas of image compression, storage, retrieval and structured reporting of medical data.