Abstract
This article presents a strategy for medical image management. Based on the database named AUDR (Advanced Unstructured Data Repository) developed by Beihang University, a web-based system for medical image management and collaborative processing is built. Different from other applications, the system is accessed via web browser, and allows both text-based and content-based retrieval of medical images in DICOM format. Besides, the system allows geographically separated radiologists to process and interpret the same medical image simultaneously. To import medical image into AUDR, a strategy for DICOM image import is proposed. To implement the system, a collaboration framework and a method for image transmission is proposed. System evaluation in terms of functionality and performance has been performed in order to prove the availability of the system.
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References
Bidgood Jr., W.D., Horii, S.C., Prior, F.W., Van Syckle, D.E.: Understanding and using DICOM, the data interchange standard for biomedical imaging. Journal of the American Medical Informatics Association 4(3), 199–212 (1997)
Bui, A.A.T., Morioka, C., Dionisio, J.D.N., Johnson, D.B., Sinha, U., Ardekani, S., Taira, R.K., Aberle, D.R., El-Saden, S., Kangarloo, H.: OpenSourcePACS: An extensible infrastructure for medical image management. IEEE Transactions on Information Technology in Biomedicine 11(1), 94–109 (2007)
Choplin, R.H., Boehme, J.M., Maynard, C.D.: Picture Archiving and Communication Systems: an overview. Radiographics 12(1), 127–129 (1992)
Guha, S., Rastogi, R., Shim, K.: CURE: an efficient clustering algorithm for large databases. Information Systems, 35–38 (2001)
Hartigan, J.A.: A k-means clustering algorithm. Applied Statistics, 100–108 (1979)
Hernandez, J.A., Acuna, C.J., de Castro, M.V., Marcos, E., López, M., Malpica, N.: Web-PACS for multicenter clinical trials. IEEE Transactions on Information Technology in Biomedicine 11(1), 87–93 (2007)
Li, W., Lang, B.: A tetrahedral data model for unstructured data management. SCIENCE CHINA Information Sciences 53, 1497–1510 (2010)
Liu, X.L., Lang, B., Yu, W., Luo, J.W., Huang, L.: AUDR: An advanced unstructured data repository. In: 6th International Conference on Pervasive Computing and Applications (ICPCA), pp. 462–469. IEEE press, New York (2011)
Müller, H., Michoux, N., Bandon, D., Geissbuhler, A.: A review of content-based image retrieval systems in medical applications–clinical benefits and future directions. International Journal of Medical Informatics 73(1), 1–23 (2004)
Neri, E., Thiran, J.P., Caramella, D., Petri, C., Bartolozzi, C., Piscaglia, B., Macq, B., Duprez, T., Cosnard, G., Maldague, B.: Interactive DICOM image transmission and telediagnosis over the European ATM network. IEEE Transactions on Information Technology in Biomedicine 2, 35–38 (1998)
Noro, R., Hubaux, J.P., Meuli, R., Laurini, R.N., Patthey, R.: Real-time telediagnosis of radiological images through an asynchronous transfer mode network: The ARTeMeD project. Journal of Digital Imaging 10, 116–121 (1997)
Pilling, J.R.: Picture archiving and communication systems: the users’ view. British Journal of Radiology 76(908), 519 (2003)
Pianykh, O.S.: Digital Imaging and Communications in Medicine (DICOM): A Practical Introduction and Survival Guide. Springer, Heidelberg (2011)
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Shen, H., Ma, D., Zhao, Y., Yang, C., Sun, S., Lang, B. (2012). Managing and Collaboratively Processing Medical Image via the Web. In: Bao, Z., et al. Web-Age Information Management. WAIM 2012. Lecture Notes in Computer Science, vol 7419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33050-6_25
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DOI: https://doi.org/10.1007/978-3-642-33050-6_25
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