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Medical (Visual) Information Retrieval

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Information Retrieval Meets Information Visualization (PROMISE 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7757))

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Abstract

This text gives a broad overview of the domain of visual medical information retrieval and medical information analysis/search in general. The goal is to describe the specifics of medical information analysis and more specifically of medical visual information retrieval in this book of the PROMISE winter school. The text is meant to deliver an annotated bibliography of important papers and tendencies in the domain that can then guide the reader to find more detailed information on this quickly developing research domain. This text is by no means a systematic review in the field, so some citations might be subjective but should lead the reader to further publications. The given references will provide a solid starting point for exploring the domain of medical visual information retrieval.

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References

  1. Simel, D., Drummond, R.: The rational clinical examination: evidence–based clinical diagnosis. McGraw-Hill (August 2008)

    Google Scholar 

  2. Bui, A.A.T., Taira, R.K., Dionision, J.D.N., Aberle, D.R., El-Saden, S., Kangarloo, H.: Evidence–based radiology. Academic Radiology 9(6), 662–669 (2002)

    Article  Google Scholar 

  3. Hunter, L., Cohen, K.B.: Biomedical language processing: What’s beyond pubmed? Molecular Cell 21(5), 589–594 (2006)

    Article  Google Scholar 

  4. Riding the wave: How europe can gain from the rising tide of scientific data. Submission to the European Comission (October 2010), http://cordis.europa.eu/fp7/ict/e-infrastructure/docs/hlg-sdi-report.pdf

  5. Zhang, C., De Sterck, H., Aboulnaga, A., Djambazian, H., Sladek, R.: Case Study of Scientific Data Processing on a Cloud Using Hadoop. In: Mewhort, D.J.K., Cann, N.M., Slater, G.W., Naughton, T.J. (eds.) HPCS 2009. LNCS, vol. 5976, pp. 400–415. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  6. Safran, C., Bloomrosen, M., Hammond, W.E., Labkoff, S., Markel-Fox, S., Tang, P.C., Detmer, D.E.: Toward a national framework for the secondary use of health data: An american medical informatics association white paper. MIM 14, 1–9 (2007)

    Google Scholar 

  7. Elger, B., Iavindrasana, J., Iacono, L.L., Müller, H., Roduit, N., Summers, P., Wright, J.: Strategies for health data exchange for secondary, cross–institutional clinical research. Computer Methods and Programs in Biomedicine 99(3), 230–251 (2010)

    Article  Google Scholar 

  8. Hersh, W.: Information Retrieval — A health and Biomedical Perspective, 2nd edn. Springer (2003)

    Google Scholar 

  9. Hersh, W., Jensen, J., Müller, H., Gorman, P., Ruch, P.: A qualitative task analysis for developing an image retrieval test collection. In: ImageCLEF/MUSCLE Workshop on Image Retrieval Evaluation, Vienna, Austria, pp. 11–16 (2005)

    Google Scholar 

  10. Hoogendam, A., de Vries Robbé, P.F., Overbeke, A.J.: Answers to questions posed during daily patient care are more likely to be answered by uptodate than pubmed. Journal of Medical Internet Research 10(4) (2008)

    Google Scholar 

  11. Hersh, W.R., Hickam, D.H.: How well do physicians use electronic information retrieval systems? Journal of the American Medical Association 280(15), 1347–1352 (1998)

    Article  Google Scholar 

  12. Müller, H., Despont-Gros, C., Hersh, W., Jensen, J., Lovis, C., Geissbuhler, A.: Health care professionals’ image use and search behaviour. In: Proceedings of the Medical Informatics Europe Conference (MIE 2006), pp. 24–32. IOS Press, Studies in Health Technology and Informatics, Maastricht, The Netherlands (2006)

    Google Scholar 

  13. Glasgow, J., Jurisica, I.: Integration of case–based and image–based reasoning. In: AAAI Workshop on Case–Based Reasoning Integrations, pp. 67–74. AAAI Press, Menlo Park (1998)

    Google Scholar 

  14. Kahn Jr., C., Thao, C.: Goldminer: A radiology image search engine. American Journal of Roentgenology 188, 1475–1478 (2008)

    Article  Google Scholar 

  15. Ruch, P., Baud, R., Geissbuhler, A.: Using lexical disambiguation and named–entity recognition to improve spelling correction in the electronique patient record. AIM 29, 169–184 (2003)

    Google Scholar 

  16. Franz, P., Zaiss, A., Hahn, U., Schulz, S., Klar, R.: Automated coding of diagnoses – three methods compared. In: Proceedings of the Annual Symposium of the American Society for Medical Informatics (AMIA), Los Angeles, CA, USA (November 2000)

    Google Scholar 

  17. Gobeill, J., Theodoro, D., Patsche, E., Ruch, P.: Taking benefit of query and document expansion using MeSH descriptors in medical ImageCLEF 2009. Working Notes of the 2009 CLEF Workshop, Corfu, Greece (September 2009)

    Google Scholar 

  18. Lanlotz, C.P.: Radlex: A new method for indexing online educational materials. Radiographics 26, 1595–1597 (2006)

    Article  Google Scholar 

  19. Müller, H., Schumacher, M., Godel, D., Khaled, O.A., Mooser, F., Ding, S.: Medicoordination: A practical approach to interoperability in the swiss health system. In: The Medical Informatics Europe Conference (MIE 2009), Sarajevo, Bosnia–Herzegovina, pp. 210–214 (August 2009)

    Google Scholar 

  20. Ide, N.C., Loane, R.F., Demner-Fushman, D.: Application of information technology: Essie: A concept–based search engine for structured biomedical text. Journal of the American Medical Informatics Association 14(3), 253–263 (2007)

    Article  Google Scholar 

  21. Demner-Fushman, D., Antani, S., Siadat, M.R., Soltanian-Zadeh, H., Fotouhi, F., Elisevich, K.: Automatically finding images for clinical decision support. In: Proceedings of the Seventh IEEE International Conference on Data Mining Workshops, ICDMW 2007, pp. 139–144. IEEE Computer Society, Washington, DC (2007)

    Google Scholar 

  22. Salton, G., Buckley, C.: Term weighting approaches in automatic text retrieval. IPM 24(5), 513–523 (1988)

    Google Scholar 

  23. van Rijsbergen, C.J.: Information Retrieval. Prentice Hall, Englewood Cliffs (1979)

    MATH  Google Scholar 

  24. 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)

    Article  Google Scholar 

  25. Akgül, C., Rubin, D., Napel, S., Beaulieu, C., Greenspan, H., Acar, B.: Content–based image retrieval in radiology: Current status and future directions. Journal of Digital Imaging 24(2), 208–222 (2011)

    Article  Google Scholar 

  26. Tang, L.H.Y., Hanka, R., Ip, H.H.S.: A review of intelligent content–based indexing and browsing of medical images. HIJ 5, 40–49 (1999)

    Google Scholar 

  27. Lowe, H.J., Antipov, I., Hersh, W., Smith, C.A.: Towards knowledge–based retrieval of medical images. The role of semantic indexing, image content representation and knowledge–based retrieval. In: Proceedings of the Annual Symposium of the American Society for Medical Informatics (AMIA), Nashville, TN, USA, pp. 882–886 (October 1998)

    Google Scholar 

  28. Tagare, H.D., Jaffe, C., Duncan, J.: Medical image databases: A content–based retrieval approach. Journal of the American Medical Informatics Association 4(3), 184–198 (1997)

    Article  Google Scholar 

  29. Dahmen, J., Theiner, T., Keysers, D., Ney, H., Lehmann, T., Wein, B.: Classification of radiographs in the ’image retrieval in medical applications’ — system (IRMA). In: 6th International RIAO Conference on Content-Based Multimedia Information Access, Paris, France, pp. 551–566 (April 2000)

    Google Scholar 

  30. Smeulders, A.W.M., Worring, M., Santini, S., Gupta, A., Jain, R.: Content–based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(12), 1349–1380 (2000)

    Article  Google Scholar 

  31. Datta, R., Joshi, D., Li, J., Wang, J.Z.: Image retrieval: Ideas, influences, and trends of the new age. ACM Computing Surveys 40(2), 1–60 (2008)

    Article  Google Scholar 

  32. Jörgensen, C.: Retrieving the unretrievable in electronic imaging systems: emotions, themes and stories. In: Rogowitz, B., Pappas, T.N. (eds.) Human Vision and Electronic Imaging IV, San Jose, California, USA, January 23-29. SPIE Proc., vol. 3644. SPIE Photonics West Conference (1999)

    Google Scholar 

  33. 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)

    Article  Google Scholar 

  34. Depeursinge, A., Sage, D., Hidki, A., Platon, A., Poletti, P.A., Unser, M., Müller, H.: Lung tissue classification using Wavelet frames. In: 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2007, Lyon, France, pp. 6259–6262. IEEE Computer Society (2007)

    Chapter  Google Scholar 

  35. Hsu, W., Antani, S., Long, L.R., Neve, L., Thoma, G.R.: Spirs: A web-based image retrieval system for large biomedical databases. International Journal of Medical Informatics 78(suppl. 1), S13–S24 (2009); MedInfo 2007

    Article  Google Scholar 

  36. Costa, M.J., Tsymbal, A., Hammon, M., Cavallaro, A., Sühling, M., Seifert, S., Comaniciu, D.: A Discriminative Distance Learning–Based CBIR Framework for Characterization of Indeterminate Liver Lesions. In: Müller, H., Greenspan, H., Syeda-Mahmood, T. (eds.) MCBR-CDS 2011. LNCS, vol. 7075, pp. 92–104. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  37. Depeursinge, A., Fischer, B., Müller, H., Deserno, T.M.: Prototypes for content–based image retrieval in clinical practice. The Open Medical Informatics Journal 5, 58–72 (2011)

    Article  Google Scholar 

  38. Clough, P., Müller, H., Sanderson, M.: The CLEF 2004 Cross-Language Image Retrieval Track. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004. LNCS, vol. 3491, pp. 597–613. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  39. Hersh, W., Müller, H., Kalpathy-Cramer, J., Kim, E., Zhou, X.: The consolidated ImageCLEFmed medical image retrieval task test collection. Journal of Digital Imaging 22(6), 648–655 (2009)

    Article  Google Scholar 

  40. Müller, H., Clough, P., Deselaers, T., Caputo, B. (eds.): ImageCLEF – Experimental Evaluation in Visual Information Retrieval. The Springer International Series on Information Retrieval, vol. 32. Springer, Heidelberg (2010)

    MATH  Google Scholar 

  41. Kalpathy-Cramer, J., Müller, H., Bedrick, S., Eggel, I., García Seco de Herrera, A., Tsikrika, T.: The CLEF 2011 medical image retrieval and classification tasks. Working Notes of CLEF 2011 (Cross Language Evaluation Forum) (September 2011)

    Google Scholar 

  42. Dean, J., Ghemawat, S.: Mapreduce: simplified data processing on large clusters. In: Proceedings of the 6th Conference on Symposium on Opearting Systems Design & Implementation, OSDI 2004, vol. 6, p. 10. USENIX Association, Berkeley (2004)

    Google Scholar 

  43. 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 (forthcoming 2012)

    Google Scholar 

  44. Quellec, G., Lamard, M., Cazuguel, G., Roux, C., Cochener, B.: Case retrieval in medical databases by fusing heterogeneous information. IEEE Transactions on Medical Imaging 30(1), 108–118 (2011)

    Article  Google Scholar 

  45. Depeursinge, A., Vargas, A., Platon, A., Geissbuhler, A., Poletti, P.–A., Müller, H.: 3D Case–Based Retrieval for Interstitial Lung Diseases. In: Caputo, B., Müller, H., Syeda-Mahmood, T., Duncan, J.S., Wang, F., Kalpathy-Cramer, J. (eds.) MCBR-CDS 2009. LNCS, vol. 5853, pp. 39–48. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  46. Zhou, X., Depeursinge, A., Stern, R., Lovis, C., Müller, H.: Case–based visual retrieval of fractures. International Journal of Computer Assisted Radiology and Surgery 5(suppl. 1), 11548/S162–11548/S163 (2010)

    Google Scholar 

  47. Depeursinge, A., Zrimec, T., Busayarat, S., Müller, H.: 3D lung image retrieval using localized features. In: Medical Imaging 2011: Computer–Aided Diagnosis. SPIE, vol. 7963, p. 79632E (2011)

    Google Scholar 

  48. Funkhouser, T., Min, P., Kazhdan, M., Chen, J., Halderman, A., Dobkin, D., Jacobs, D.: A search engine for 3d models. ACM Transactions on Graphics 22(1), 83–105 (2003)

    Article  Google Scholar 

  49. Johnson, T.R.C., Krauß, B., Sedlmair, M., Grasruck, M., Bruder, H., Morhard, D., Fink, C., Weckbach, S., Lenhard, M., Schmidt, B., Flohr, T., Reiser, M.F., Becker, C.R.: Material differentiation by dual energy CT: initial experience. European Radiology 17(6), 1510–1517 (2007)

    Article  Google Scholar 

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Müller, H. (2013). Medical (Visual) Information Retrieval. In: Agosti, M., Ferro, N., Forner, P., Müller, H., Santucci, G. (eds) Information Retrieval Meets Information Visualization. PROMISE 2012. Lecture Notes in Computer Science, vol 7757. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36415-0_10

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  • DOI: https://doi.org/10.1007/978-3-642-36415-0_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36414-3

  • Online ISBN: 978-3-642-36415-0

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