Abstract
The enormous amount of visual data in Picture Archival and Communication Systems (PACS) and in the medical literature is growing exponentially. In the proposed demo, the medical image search of the KHRESMOI project is presented to solve some of the challenges of medical data management and retrieval. The system allows searching for visual information by combining content–based image retrieval (CBIR) and text retrieval in several languages using semantic concepts. 3D visual retrieval in internal hospital sources is supported by marking volumes of interest (VOI) in the data and connection to the medical literature are established to allow further investigating interesting cases. The system is demonstrated on 5TB of radiology reports with associated images and articles of the biomedical literature with over 1.7M images.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Markonis, D., Holzer, M., Dung, S., Vargas, A., Langs, G., Kriewel, S., Müller, H.: A survey on visual information search behavior and requirements of radiologists. Methods of Information in Medicine 51(6), 539–548 (2012)
Müller, H., Michoux, N., Bandon, D., Geissbuhler, A.: A review of content–based image retrieval systems in medicine–clinical benefits and future directions. International Journal of Medical Informatics 73(1), 1–23 (2004)
Aisen, A.M., Broderick, L.S., Winer-Muram, H., Brodley, C.E., Kak, A.C., Pavlopoulou, C., Dy, J., Shyu, C.R., Marchiori, A.: Automated storage and retrieval of thin–section CT images to assist diagnosis: System description and preliminary assessment. Radiology 228(1), 265–270 (2003)
Vredenburg, K., Mao, J., Smith, P., Carey, T.: A survey of user-centered design practice. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems: Changing Our World, Changing Ourselves, pp. 471–478 (2002)
Markonis, D., Baroz, F., Ruiz de Castaneda, R.L., Boyer, C., Müller, H.: User tests for assessing a medical image retrieval system: A pilot study. In: MEDINFO 2013 (2013)
Donner, R., Menze, B.H., Bischof, H., Langs, G.: Global localization of 3d anatomical structures by pre-filtered hough forests and discrete optimization. Med. Image Anal. (March 2013)
Dorfer, M., Donner, R., Langs, G.: Constructing an un-biased whole body atlas from clinical imaging data by fragment bundling. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds.) MICCAI 2013, Part I. LNCS, vol. 8149, pp. 219–226. Springer, Heidelberg (2013)
Burner, A., Donner, R., Mayerhoefer, M., Holzer, M., Kainberger, F., Langs, G.: Texture bags: Anomaly retrieval in medical images based on local 3D-texture similarity. In: Müller, H., Greenspan, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 116–127. Springer, Heidelberg (2012)
Beckers, T., Dungs, S., Fuhr, N., Jordan, M., Kriewel, S., Tran, V.: An interactive search and evaluation system. Open Source Information Retrieval 9 (2012)
García Seco de Herrera, A., Markonis, D., Eggel, I., Müller, H.: The medGIFT group in ImageCLEFmed 2012. In: Working Notes of CLEF 2012 (2012)
White, T.: Hadoop: The Definitive Guide. O’Reilly Media, Inc. (2010)
Andony, A., Indyk, P.: Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions. In: 47th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2006, pp. 459–468 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Markonis, D. et al. (2014). A Visual Information Retrieval System for Radiology Reports and the Medical Literature. In: Gurrin, C., Hopfgartner, F., Hurst, W., Johansen, H., Lee, H., O’Connor, N. (eds) MultiMedia Modeling. MMM 2014. Lecture Notes in Computer Science, vol 8326. Springer, Cham. https://doi.org/10.1007/978-3-319-04117-9_43
Download citation
DOI: https://doi.org/10.1007/978-3-319-04117-9_43
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04116-2
Online ISBN: 978-3-319-04117-9
eBook Packages: Computer ScienceComputer Science (R0)