Interfejs referencyjnej bazy danych obrazowych

• Autorzy: Boniński P. , Przelaskowski A.
• Konferencja: Sympozjum Inzynieria Biomedyczna i Telemedyczna (8-9.09.2006; Warszawa, Polska)
• Języki publikacji: PL

Abstrakty

EN

Picture archiving and communication systems (PACS) are designed to provide the radiologist with image information he needs. Currently, state-of-art standard of digital imaging and communication in medicine (DICOM) gives only alphanumerical descriptions of image and this is the only information used in PACS to select relevant images. However, it is industry standard now, textual descriptions are insufficient to describe variety of details in medical image. The content-based image retrieval (CBIR) systems could support DICOM-based retrieval systems and fulfilI "right time, right place" paradigms. In our work we developed Image Shark - a content-based image retrieval system, integrated with PACS solution in one, fully-integrated environment, with novel JPEG2000 codec for effective image transmission and interactive communication. Our system joins cIassic PACS with content-based image retrieval engine. Such approach gives very flexible and effective image retrieval ways. A set of image- and wavelet-domain based indexes were implemented, verified in initial experiments and selected as suitable for mammograms, radiograms and other modalities. Precision of data retrieval was comparable with other engines (IRMA, others), giving very promising results with similar or better precision level.

Słowa kluczowe

PL

referencyjna baza danych obrazowych; indeksowanie po zawartości; telediagnostyka

• Wydawca: Oficyna Wydawnicza Politechniki Warszawskiej
• Czasopismo: Prace Naukowe Politechniki Warszawskiej. Elektronika
• Rocznik: 2006
• Tom: z. 157
• Strony: 101--107
• Opis fizyczny: Bibliogr. 10 poz., wykr., schem., tab

Twórcy

autor

Boniński P.

autor

Przelaskowski A.

• Instytut Radioelektroniki Politechnika Warszawska

Bibliografia

• [1] T. Lehmann, M. Güld, et al., "Content-based image retrieval in medical applications", Methods of Information in Medicine 2004, 43: 354-361
• [2] M.O. Güld, M. Kohnen, D. Keysers, H. Schubert, B. Wein, J. Bredno, T.M. Lehmann: "Quality of DICOM header Information for Image Categorization", SPIE Intl. Symposium on Medical Imaging, San Diego, CA, Proceedings SPIE 2002, 685: 280-287
• [3] Tagare HD, Jaffe CC, Duncan J: "Medical image databases - A content-based approach", Journal of the American Medical Association 1997, 4:184-198
• [4] A. Przelaskowski, P. Hałasa, D. Rieves D. "Progressive and interactive modes of image transmission: optimized wavelet-based image representation", 3rd International Conference on Telemedicine and Multimedia Communication, Abstract Book 2005:65-66
• [5] T.M. Lehmann, B.B Wein, H. Greenspan, "Integration of Content-based Image Retrieval to Picture Archiving and Communication Systems", MIE 2003 Proceedings 2003
• [6] H. Müller, N. Michoux, D. Bandon, A. Geissbuhle, "A review of content-based image retrieval systems in medical applications - clinical benefits and future directions", International Journal of Medical Informatics 2004, 73:1-23.
• [7] T. Podsiadły-Marczykowska, A. Guzik "Ontologia mammografii - struktura modelu, definicje i instancje pojęć", Bio-algorithms and Med-systems Journal 2005, 1: 247-252
• [8] P. Boniński, A. Przelaskowski, P. Hałasa "Image Shark - PACS-CBIR integrated system with interactive image transmission using JPEG 2000", Med-e-Tel 2006 Proceedings 2006
• [9] T. Deselaers, D. Keysers, H. Ney "FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation", Working Notes of the CLEF Workshop 2004, 535-544
• [10] A. Przelaskowski, "Standard JPEG2000 for medical image applications", Task Quarterly, 2004, 8(2):147-158