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Recent Development in Text-based Medical Image Retrieval

텍스트 기반 의료영상 검색의 최근 발전

  • Hwang, Kyung Hoon (Department of Nuclear Medicine, Gachon University Gil Hospital) ;
  • Lee, Haejun (Department of Nuclear Medicine, Gachon University Gil Hospital) ;
  • Koh, Geon (Department of Nuclear Medicine, Gachon University Gil Hospital) ;
  • Kim, Seog Gyun (Department of Nuclear Medicine, Gachon University Gil Hospital) ;
  • Sun, Yong Han (Department of Pediatrics, Gachon University Gil Hospital) ;
  • Choi, Duckjoo (Department of Gastrohepatology, Gachon University Gil Hospital)
  • 황경훈 (가천대 길병원 핵의학과) ;
  • 이해준 (가천대 길병원 핵의학과) ;
  • 고건 (가천대 길병원 핵의학과) ;
  • 김석균 (가천대 길병원 핵의학과) ;
  • 선용한 (가천대 길병원 소아과) ;
  • 최덕주 (가천대 길병원 소화기내과)
  • Received : 2015.05.20
  • Accepted : 2015.06.29
  • Published : 2015.06.30

Abstract

An effective image retrieval system is required as the amount of medical imaging data is increasing recently. Authors reviewed the recent development of text-based medical image retrieval including the use of controlled vocabularies - RadLex (Radiology Lexicon), FMA (Foundational Model of Anatomy), etc - natural language processing, semantic ontology, and image annotation and markup.

Keywords

References

  1. Liu Y, Zhang D, Lu G and Ma W-Y, "A survey of contentbased image retrieval with high-level semantics," Pattern Recognition, vol. 40, no. 1, pp. 262-282, 2007. https://doi.org/10.1016/j.patcog.2006.04.045
  2. Eakins JP, "Towards intelligent image retrieval," Pattern Recognition, vol. 35, pp. 3-14, 2002. https://doi.org/10.1016/S0031-3203(01)00038-3
  3. Brodley C, Kak A, Shyu C, Dy J, Broderick L and Aisen AM, "Content-Based Retrieval from Medical Image Database: A Synergy of Human Interaction, Machine Learning and Computer Vision," in Proc. AAAI-99, Orlando, Florida. 1999, pp. 760-767.
  4. Svenonius E, "Unanswered Questions in the Design of Controlled Vocabularies," J Am Soc Info Sci, vol. 37, no. 5, pp. 331-340, 1986. https://doi.org/10.1002/(SICI)1097-4571(198609)37:5<331::AID-ASI8>3.0.CO;2-E
  5. Cimino JJ, "Desiderata for controlled medical vocabularies in the twenty-first century," Methods Inf Med, vol. 37, no. 4- 5, pp. 394-403, 1998.
  6. Rosse C and Mejino JL Jr, "A reference ontology for biomedical informatics: the Foundational Model of Anatomy," J Biomed Inform, vol. 36, no. 6, pp. 478-500, 2003. https://doi.org/10.1016/j.jbi.2003.11.007
  7. Langlotz CP, "RadLex: a new method for indexing online educational materials," Radiographics, vol. 26, no. 6, pp. 1595-1597, 2006. https://doi.org/10.1148/rg.266065168
  8. Rubin DL, "Creating and curating a terminology for radiology: ontology modeling and analysis," J Digit Imaging, vol. 21, no. 4, pp. 355-362, 2008. https://doi.org/10.1007/s10278-007-9073-0
  9. Hong Y, Zhang J, Heilbrun ME and Kahn CE Jr. "Analysis of RadLex coverage and term co-occurrence in radiology reporting templates," J Digit Imaging, vol. 25, no. 1, pp. 56- 62, 2012. https://doi.org/10.1007/s10278-011-9423-9
  10. Woods RW and Eng J, "Evaluating the Completeness of RadLex in the Chest Radiology Domain," Acad Radiol, vol. 20, no. 11, pp. 1329-1333, 2013. https://doi.org/10.1016/j.acra.2013.08.011
  11. McCray AT and Miller RA, "Making the Conceptual Connections," J Am Med Inform Assoc, vol. 5, no. 1, pp. 129-130, 1998. https://doi.org/10.1136/jamia.1998.0050129
  12. Sherter AL, "Building a vocabulary. A new, improved version of SNOMED has the potential to ease the collection and analysis of clinical data," Health Data Manag, vol. 6, no. 8, pp. 76-77, 1998.
  13. Nachimuthu SK and Lau LM, "Practical issues in using SNOMED CT as a reference terminology," Stud Health Technol Inform, vol. 129, Pt.1, pp. 640-644, 2007.
  14. Fragoso G, de Coronado S, Haber M, Hartel F and Wright L, "Overview and utilization of the NCI thesaurus," Comp Funct Genomics, vol. 5, no. 8, pp. 648-654, 2004 https://doi.org/10.1002/cfg.445
  15. Nadkarni PM, Ohno-Machado L and Chapman WW, "Natural language processing: an introduction," J Am Med Inform Assoc, vol. 18, pp. 544-551, 2011. https://doi.org/10.1136/amiajnl-2011-000464
  16. Hripcsak G, Austin JHM, Alderson PO and Friedman C, "Use of Natural Language Processing to Translate Clinical Information from a Database of 889,921 Chest Radiographic Reports," Radiology, vol. 224, pp. 157-163, 2002. https://doi.org/10.1148/radiol.2241011118
  17. Mendonca EA, Haas J, Shagina L, Larson E and Friedman C, "Extracting information on pneumonia in infants using natural language processing of radiology reports," J Biomed Inform, vol. 38, no. 4, pp. 314-321, 2005. https://doi.org/10.1016/j.jbi.2005.02.003
  18. Pham A-D, Neveol A, Lavergne T, Yasunaga D, Clement O, Meyer G, et al., "Natural language processing of radiology reports for the detection of thromboembolic diseases and clinically relevant incidental findings," BMC Bioinformatics, vol. 15, pp. 266-275, 2014. https://doi.org/10.1186/1471-2105-15-266
  19. Uschold M and Gruninger M, "Ontologies: Principles, Methods and Applications," Knowledge Engineering Review, vol. 11, no. 2, pp. 1-69, 1996. https://doi.org/10.1017/S0269888900007657
  20. Berners-Lee T, Hendler J and Lassila O, "The semantic web," Scientific American, vol. 284, no. 5, pp. 34-43, 2001. https://doi.org/10.1038/scientificamerican0501-34
  21. Kahn CE, Channin DS and Rubin DL, "An ontology for pacs integration," J Digital Imaging, vol. 19, no. 4, pp. 316-327, 2006. https://doi.org/10.1007/s10278-006-0627-3
  22. Rubin DL, "Creating and curating a terminology for radiology: Ontology modeling and analysis," J Digital Imaging, vol. 12, no. 4, pp. 920-927, 2007.
  23. Rubin D, Rodriguez C, Shah P and Beaulieu C, "iPad: Semantic Annotation and Markup of Radiological Images," in Proc. AMIA Ann Symp, Washington DC. 2008, pp. 626- 630.
  24. Channin DS, Mongkolwat P, Kleper V, Sepukar K and Rubin DL, "The caBIG annotation and image Markup project," J Digit Imaging, vol. 23, no. 2, pp. 217-225, 2010. https://doi.org/10.1007/s10278-009-9193-9