CASAD { Computer-Aided Sonography of Abdominal Diseases { the concept of joint technique impact

Ultrasound image is the primary (input) information for every ultrasonic examination. Since being used in ultrasound images analysis the both knowledge-base decision support and content-based image retrieval techniques have their own restrictions, the combination of these techniques looks promissory for covering the restrictions of one by advances of another. In this work we have focused on implementation of the proposed combination in the frame of CASAD (Computer-Aided Sonography of Abdominal Diseases) system for supplying the ultrasound examiner with a diagnostic-assistant tool based on a data warehouse of standard referenced images. This warehouse serves:i to manifest the diagnosis when the ecographist specifies the pathology and then looks through corresponding images to verify his opinion;ii to suggest a second opinion by automatic analysis of the annotation of relevant images that were assessed from the repository using content-based image retrieval.