Browse > Article
http://dx.doi.org/10.9718/JBER.2015.36.3.55

Recent Development in Text-based Medical Image Retrieval  

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)
Publication Information
Journal of Biomedical Engineering Research / v.36, no.3, 2015 , pp. 55-60 More about this Journal
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
Medical Image; Text-based Image Retrieval; Imaging report; RadLex; Ontology;
Citations & Related Records
연도 인용수 순위
  • Reference
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.   DOI
2 Eakins JP, "Towards intelligent image retrieval," Pattern Recognition, vol. 35, pp. 3-14, 2002.   DOI
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.   DOI
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.   DOI
7 Langlotz CP, "RadLex: a new method for indexing online educational materials," Radiographics, vol. 26, no. 6, pp. 1595-1597, 2006.   DOI
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.   DOI
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.   DOI
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.   DOI
11 McCray AT and Miller RA, "Making the Conceptual Connections," J Am Med Inform Assoc, vol. 5, no. 1, pp. 129-130, 1998.   DOI
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   DOI
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.   DOI
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.   DOI
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.   DOI
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.   DOI
19 Uschold M and Gruninger M, "Ontologies: Principles, Methods and Applications," Knowledge Engineering Review, vol. 11, no. 2, pp. 1-69, 1996.   DOI
20 Berners-Lee T, Hendler J and Lassila O, "The semantic web," Scientific American, vol. 284, no. 5, pp. 34-43, 2001.   DOI
21 Kahn CE, Channin DS and Rubin DL, "An ontology for pacs integration," J Digital Imaging, vol. 19, no. 4, pp. 316-327, 2006.   DOI
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.   DOI