{"title":"Stochastic properties of nephroscintigraphic images with 99mTc-DMSA","authors":"N. Nikolov, D. Supruniuk, A. N. Smetaniuk","doi":"10.1109/ELNANO.2013.6552051","DOIUrl":null,"url":null,"abstract":"Physical phantom studies in nuclear medicine images have a number of shortcomings that makes it not possible to correctly estimate the parameters of computer image analysis, in particular renal 99mTc-DMSA. Therefore, developing a virtual phantom of scintigraphic kidney is important. This paper addresses the narrow task: the quantitative evaluation of the stochastic properties of scintigraphic images of kidney with 99mTc-DMSA and the evaluation of lumped and distributive parameters of noise. It is shown that the virtual image noising of renal 99mTc-DMSA should be used with Gauss white noise, and noise intensity increases proportionally with the increase of radioactivity in the kidney accounts.","PeriodicalId":443634,"journal":{"name":"2013 IEEE XXXIII International Scientific Conference Electronics and Nanotechnology (ELNANO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE XXXIII International Scientific Conference Electronics and Nanotechnology (ELNANO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELNANO.2013.6552051","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Physical phantom studies in nuclear medicine images have a number of shortcomings that makes it not possible to correctly estimate the parameters of computer image analysis, in particular renal 99mTc-DMSA. Therefore, developing a virtual phantom of scintigraphic kidney is important. This paper addresses the narrow task: the quantitative evaluation of the stochastic properties of scintigraphic images of kidney with 99mTc-DMSA and the evaluation of lumped and distributive parameters of noise. It is shown that the virtual image noising of renal 99mTc-DMSA should be used with Gauss white noise, and noise intensity increases proportionally with the increase of radioactivity in the kidney accounts.