{"title":"使用能量探测器的透射层析成像交替最小化算法","authors":"J. O’Sullivan, D. Snyder, B. Whiting","doi":"10.1109/ACSSC.2002.1197165","DOIUrl":null,"url":null,"abstract":"Expectation-minimization algorithms for transmission tomography are extended to account for detectors that are modeled as integrating the energy of the incident X-ray photons. The resulting algorithm is guaranteed to monotonically increase the log likelihood functional. Both the expectation step and the maximization step are given in closed form. The formulation is general enough that it can be extended to other energy-dependent models for the detectors.","PeriodicalId":284950,"journal":{"name":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Alternating minimization algorithms for transmission tomography using energy detectors\",\"authors\":\"J. O’Sullivan, D. Snyder, B. Whiting\",\"doi\":\"10.1109/ACSSC.2002.1197165\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Expectation-minimization algorithms for transmission tomography are extended to account for detectors that are modeled as integrating the energy of the incident X-ray photons. The resulting algorithm is guaranteed to monotonically increase the log likelihood functional. Both the expectation step and the maximization step are given in closed form. The formulation is general enough that it can be extended to other energy-dependent models for the detectors.\",\"PeriodicalId\":284950,\"journal\":{\"name\":\"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACSSC.2002.1197165\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACSSC.2002.1197165","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Alternating minimization algorithms for transmission tomography using energy detectors
Expectation-minimization algorithms for transmission tomography are extended to account for detectors that are modeled as integrating the energy of the incident X-ray photons. The resulting algorithm is guaranteed to monotonically increase the log likelihood functional. Both the expectation step and the maximization step are given in closed form. The formulation is general enough that it can be extended to other energy-dependent models for the detectors.