{"title":"一种专家系统体系结构及其在科学图像序列评价中的应用","authors":"G. Sagerer, H. Niemann","doi":"10.1109/ECBS.1988.5451","DOIUrl":null,"url":null,"abstract":"A general framework for expert systems in the area of image understanding is described. It represents declarative knowledge in an associative network, allows the attachment of arbitrary procedural knowledge, and is used by a problem-independent control algorithm. This framework is used to implement a complete system for the diagnostic evaluation of scintigraphic images of the heart. The input to the system is an image sequence which is first preprocessed and segmented to obtain the left ventricle and its sectors. The contours of the ventricle and the sectors are the basis for knowledge-based analysis of the images. Analysis proceeds from the contour segments via objects and their motions to diagnostic descriptions of the image sequence. Experiments show that the system successfully completes analysis, and in particular does not make wrong diagnostic suggestions.<<ETX>>","PeriodicalId":291071,"journal":{"name":"Proceedings of the Symposium on the Engineering of Computer-Based Medical","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1988-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An expert system architecture and its application to the evaluation of scintigraphic image sequences\",\"authors\":\"G. Sagerer, H. Niemann\",\"doi\":\"10.1109/ECBS.1988.5451\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A general framework for expert systems in the area of image understanding is described. It represents declarative knowledge in an associative network, allows the attachment of arbitrary procedural knowledge, and is used by a problem-independent control algorithm. This framework is used to implement a complete system for the diagnostic evaluation of scintigraphic images of the heart. The input to the system is an image sequence which is first preprocessed and segmented to obtain the left ventricle and its sectors. The contours of the ventricle and the sectors are the basis for knowledge-based analysis of the images. Analysis proceeds from the contour segments via objects and their motions to diagnostic descriptions of the image sequence. Experiments show that the system successfully completes analysis, and in particular does not make wrong diagnostic suggestions.<<ETX>>\",\"PeriodicalId\":291071,\"journal\":{\"name\":\"Proceedings of the Symposium on the Engineering of Computer-Based Medical\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1988-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Symposium on the Engineering of Computer-Based Medical\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ECBS.1988.5451\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Symposium on the Engineering of Computer-Based Medical","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECBS.1988.5451","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An expert system architecture and its application to the evaluation of scintigraphic image sequences
A general framework for expert systems in the area of image understanding is described. It represents declarative knowledge in an associative network, allows the attachment of arbitrary procedural knowledge, and is used by a problem-independent control algorithm. This framework is used to implement a complete system for the diagnostic evaluation of scintigraphic images of the heart. The input to the system is an image sequence which is first preprocessed and segmented to obtain the left ventricle and its sectors. The contours of the ventricle and the sectors are the basis for knowledge-based analysis of the images. Analysis proceeds from the contour segments via objects and their motions to diagnostic descriptions of the image sequence. Experiments show that the system successfully completes analysis, and in particular does not make wrong diagnostic suggestions.<>
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