摘要Radiology doctors perform text-based image retrieval when they want to retrieve medical images. However, the accuracy and efficiency of such retrieval cannot keep up with the requirements. An innovative algorithm is being proposed to retrieve similar medical images. First, we extract the professional terms from the ontology structure and use them to annotate the CT images. Second, the semantic similarity matrix of ontology terms is calculated according to the structure of the ontology. Lastly, the corresponding semantic distance is calculated according to the marked vector, which contains different annotations. We use 120 real liver CT images (divided into six categories) of a top three-hospital to run the algorithm of the program. Result shows that the retrieval index “Precision” is 80.81%, and the classification index “AUC(Area Under Curve)” under the “ROC curve” (Receiver Operating Characteristic)is 0.945.
Abstract:Radiology doctors perform text-based image retrieval when they want to retrieve medical images. However, the accuracy and efficiency of such retrieval cannot keep up with the requirements. An innovative algorithm is being proposed to retrieve similar medical images. First, we extract the professional terms from the ontology structure and use them to annotate the CT images. Second, the semantic similarity matrix of ontology terms is calculated according to the structure of the ontology. Lastly, the corresponding semantic distance is calculated according to the marked vector, which contains different annotations. We use 120 real liver CT images (divided into six categories) of a top three-hospital to run the algorithm of the program. Result shows that the retrieval index “Precision” is 80.81%, and the classification index “AUC(Area Under Curve)” under the “ROC curve” (Receiver Operating Characteristic)is 0.945.
通讯作者:
Yiwen Wang, The Second Affiliated Hospital of Zhejiang University School of medicine, Hangzhou Zhejiang 310052, China. E-mail address: karenkaren2010@zju.edu.com
引用本文:
Yiwen Wang. A Semantic Ontology Structure-based Approach for Retrieving Similar Medical Images[J]. 中国生物医学工程学报(英文版), 2020, 29(4): 11-19.
Yiwen Wang. A Semantic Ontology Structure-based Approach for Retrieving Similar Medical Images. Chinese Journal of Biomedical Engineering, 2020, 29(4): 11-19.
[1] Zhou Guanghua,Li Yuefeng,Meng Qun. Medical image processing technology and application analysis of [J].Chinese Health Information Management Journal,2011,8(6):44-47. [2] Liang Na,Research and application of the semantic based image retrieval technology in Medical Image System [D].Master Degree. Xi Bei University,2008:1-68. [3] Gao Shan. Research on Image Retrieval Algorithm Based on high-level Semantic Features [D].Master Degree. Chang Chun University of Technology,2008:1-53. [4] Dong Shao chun,Yin Hong wei,Xu Gang. Heterogeneous Data Searching Based on Geologic Time Ontology [J].Journal of Geo-information Science,2010,12(2):194-199. [5] Yang Chunyuan,Li Mansheng,Zhu Yunping. Construction,evaluation and application of biomedical domain ontology [J].Chinese Science:Life Sciences,2013(3):223-239. [6] Ma Shuai,Wang Xiaoying. Radiol Practice [J].2016,31(12):1120-1123. [7] Zhao Fei,Zhao Zhao Zhi,San Yi. Research on conceptual similarity of domain ontology based on semantic distance [J].Science and Technology Information Development and Economics,2009,19(5):71-73. [8] Wang Zhonglin,Yin Bao. The semantic distance based on isomorphic algorithm [J].Journal of Shandong Normal University(Natural Science Edition),2008,23(3):50-53. [9] Kurtz C,Beaulieu CF,Napel S,et al. A hierarchical knowledge-based approach for retrieving similar medical images described with semantic annotations [J].Journal of Biomedical Informatics,2014,49(C):227-244. [10] Camille Kurtz,Pierre Gancarski,Nicolas Passat,et al. A hierarchical semantic-based distance for nominal histogram comparison [J].Data & Knowledge Engineering,2013(87):206-225. [11] Asli Uyar,Ayse Bener,H. Nadir Ciray,et al. ROC Based Evaluation and Comparison of Classifiers for IVF Implantation Prediction[J].Mustafa Bahcec in Electronic Healthcare,2010:108-111. [12] Zou Hongxia,Qin Feng,Cheng Zekai,et al. ROC curve generation algorithm of two classifier [J].Computer Technology and Development,2009,19(6):109-112.