C. Wahl, S. Brown, B. Kitchen, Weiyi Wang, W. Kaye
{"title":"高分辨率CZT成像光谱仪的混合光谱和图像反卷积","authors":"C. Wahl, S. Brown, B. Kitchen, Weiyi Wang, W. Kaye","doi":"10.1109/NSS/MIC42677.2020.9508056","DOIUrl":null,"url":null,"abstract":"Large-volume 3D-position-sensitive CdZnTe is used in many applications for spectroscopy and Compton imaging. Being able to determine the incident gamma-ray flux, as a function of both the energy and direction, is, of course, a useful feature to provide more information from each measurement. Deconvolution in the energy domain should be able to identify emission lines and continuous distributions over energy. Deconvolution in the direction domain should be able to identify point sources and distributed sources. In this work, a hybrid deconvolution method is introduced, which uses the image to improve the spectral deconvolution and the spectrum to improve the image deconvolution, while still being fast enough to run on practical problems. Details of the deconvolution method are presented along with representative results.","PeriodicalId":6760,"journal":{"name":"2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"28 1","pages":"1-3"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Hybrid Spectral and Image Deconvolution for High-Resolution CZT Imaging Spectrometers\",\"authors\":\"C. Wahl, S. Brown, B. Kitchen, Weiyi Wang, W. Kaye\",\"doi\":\"10.1109/NSS/MIC42677.2020.9508056\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Large-volume 3D-position-sensitive CdZnTe is used in many applications for spectroscopy and Compton imaging. Being able to determine the incident gamma-ray flux, as a function of both the energy and direction, is, of course, a useful feature to provide more information from each measurement. Deconvolution in the energy domain should be able to identify emission lines and continuous distributions over energy. Deconvolution in the direction domain should be able to identify point sources and distributed sources. In this work, a hybrid deconvolution method is introduced, which uses the image to improve the spectral deconvolution and the spectrum to improve the image deconvolution, while still being fast enough to run on practical problems. Details of the deconvolution method are presented along with representative results.\",\"PeriodicalId\":6760,\"journal\":{\"name\":\"2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)\",\"volume\":\"28 1\",\"pages\":\"1-3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSS/MIC42677.2020.9508056\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSS/MIC42677.2020.9508056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Hybrid Spectral and Image Deconvolution for High-Resolution CZT Imaging Spectrometers
Large-volume 3D-position-sensitive CdZnTe is used in many applications for spectroscopy and Compton imaging. Being able to determine the incident gamma-ray flux, as a function of both the energy and direction, is, of course, a useful feature to provide more information from each measurement. Deconvolution in the energy domain should be able to identify emission lines and continuous distributions over energy. Deconvolution in the direction domain should be able to identify point sources and distributed sources. In this work, a hybrid deconvolution method is introduced, which uses the image to improve the spectral deconvolution and the spectrum to improve the image deconvolution, while still being fast enough to run on practical problems. Details of the deconvolution method are presented along with representative results.