Authors: T. Deserno,
Burţeva Liudmila,
Secrieru Iulian,
Popcova Olga
Keywords: warehouse, medical diagnostic, ultrasound, images classification, decision support system
Abstract
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:
- to manifest the diagnosis when the ecographist specifies the pathology and then looks through corresponding images to verify his opinion;
- 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.
T. Deserno
Aachen University of Technology (RWTH)
Department of Medical Informatics
Division of Medical Image Processing
Pauwelsstraβe 30
52074 Aachen, Germany
Tel: +49 241 80-88793
Fax: +49 241 80-3388790
E-mail:
L. Burtseva, Iu. Secrieru, O. Popcova
Institute of Mathematics and Computer Science,
Academy of Sciences of Moldova
Academiei 5, Chișinău MD 2028 Moldova
E-mail: , ,
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