{"title":"A scatter correction based on the deconvolution method in SPECT","authors":"J. Yang, P. Karjalainen, J. Kuikka, L. Patomaki","doi":"10.1109/ICSIGP.1996.567312","DOIUrl":null,"url":null,"abstract":"A scatter correction using a two-dimensional (2D) deconvolution method has been developed which compensates for Compton scattering in a triple-head gamma camera images. It assumes that the scatter distribution in any projection can be estimated from sinogram activity distribution using a position-invariant scatter kernel. The scatter distribution function has been derived from the measurements of a point source in a plastic phantom. The scatter correction technique is based on filtering by 2D convolution in the spatial domain. The spatial filter was designed to implement a 2D IIR filter. The quality of the compensation is also evaluated by comparing the ratio of the average counts/pixel with and without scatter correction in clinical brain blood flow studies.","PeriodicalId":385432,"journal":{"name":"Proceedings of Third International Conference on Signal Processing (ICSP'96)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of Third International Conference on Signal Processing (ICSP'96)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIGP.1996.567312","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
A scatter correction using a two-dimensional (2D) deconvolution method has been developed which compensates for Compton scattering in a triple-head gamma camera images. It assumes that the scatter distribution in any projection can be estimated from sinogram activity distribution using a position-invariant scatter kernel. The scatter distribution function has been derived from the measurements of a point source in a plastic phantom. The scatter correction technique is based on filtering by 2D convolution in the spatial domain. The spatial filter was designed to implement a 2D IIR filter. The quality of the compensation is also evaluated by comparing the ratio of the average counts/pixel with and without scatter correction in clinical brain blood flow studies.
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