Abstract
In this work the implementation of a database of digitized mammograms is described. The digitized images were collected since 1999 by a community of physicists in collaboration with radiologists in several Italian hospitals, as a first step in order to develop and implement a Computer Aided Detection (CAD) system. 3369 mammograms were collected from 967 patients; they were classified according to the type and the morphology of the lesions, the type of the breast tissue and the type of pathologies. A dedicated Graphical User Interface was developed for mammography visualization and processing, in order to support the medical diagnosis directly on a high-resolution screen. The database has been the starting point for the development of other medical imaging applications such as a breast CAD, currently being upgraded and optimized for the use in conjunction of the GRID technology in the framework of the INFN-funded MAGIC-5 project.
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References
Osuch, J.R., Anthony, M., Bassett, L.W., DeBor, M., D’Orsi, C., Hendrick, R.E., Linver, M., Smith, R.: A proposal for a national mammography database: content, purpose, and value AJR. 164, 1329–1334 (1995)
http://marathon.csee.usf.edu/Mammography/Database.html (accessed 28/12/2005)
http://peipa.essex.ac.uk/ (accessed 28/12/2005)
Nunes, F.L.S., Schiabel, H., Rodrigo, H., Benatti, R.H.: A computer system to record and retrieve information from a mammographic images database by Internet World Congress on Medical Physics and Biomedical Engineering, pp. 24–29 (2003)
McClatchey, R., Manset, D., Hauer, T., Estrella, F., Saiz, P., Rogulin, D., Buncic, P.: The MammoGrid project Grids architecture. In: CHEP 2003, San Diego (2003)
Ertas, G., Gulcur, H.Ö., Aribal, E. and Semiz, A.: Development of a secure mammogram database MEDNET 2001, abstract n. 54 (2001)
Fantacci, M.E., et al.: 2002 Search of microcalcifications clusters with the CALMA CAD Station. In: Proc. SPIE, vol. 4684, pp. 1301–1310 (2002)
Lattanzio, V., Guerrieri, A.: The mammography report Radiologia Medica 96, 283–288 (1998)
Wolfe, J.N.: Risk for breast cancer development determined by mammographic parenchymal pattern. Cancer 37, 2486–2492 (1976)
Lattanzio, V., Simonetti, G.: Mammography – Guide to interpretation, reporting and auditing mammographic images Re.Co.R.M. Springer, Heidelberg, ISBN 3-540-20018-5
Bagnasco, S., et al.: GPCALMA: a GRID based tool for mammographic screening. Methods of Information in Medicine 44(2), 244–248 (2005)
Lauria, A., Drogo, M., Fantacci, M.E., Gallo, R., Gilardi, C., Masala, G.L., Palmiero, R., Zanon, E.: Comparison between different monitors to be used in the reading of digital mammographic images. In: Proc. SPIE, vol. 5034, pp. 448–452 (2003)
Lauria, A., et al.: Diagnostic performance of radiologists with and without different CAD systems for mammography. In: Proc. SPIE, vol. 5034, pp. 244–248 (2003)
Delogu, P., Fantacci, M.E., Preite Martinez, A., Retico, A., Stefanini, A., Tata, A.: A Scalable System for Microcalcification Cluster Automated Detection in a Distributed Mammographic Database. In: Nuclear Science Symposium Conference Record, October 23-29, vol. 3, pp. 1530–1534. IEEE, Los Alamitos (2005)
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Lauria, A. et al. (2006). GPCALMA: An Italian Mammographic Database of Digitized Images for Research. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_52
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DOI: https://doi.org/10.1007/11783237_52
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