M. Wernick, G. Wang, C. Kao, J. Yap, J. Mukherjee, M. Cooper, C. Chen
{"title":"An image reconstruction method for dynamic PET","authors":"M. Wernick, G. Wang, C. Kao, J. Yap, J. Mukherjee, M. Cooper, C. Chen","doi":"10.1109/NSSMIC.1995.501917","DOIUrl":null,"url":null,"abstract":"In PET, SPECT, and other tomographic imaging modalities, dynamic image sequences are typically obtained by reconstructing the individual time frames independently. This frame-by-frame reconstruction approach can be highly suboptimal because it fails to take into account the temporal correlations in the signal. The authors propose an alternative approach, based on a Karhunen-Loeve transformation of the dynamic-image reconstruction problem, that can offer both significant improvement of the reconstructed images and a substantial reduction in the computation required to reconstruct an image sequence.","PeriodicalId":409998,"journal":{"name":"1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.1995.501917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
In PET, SPECT, and other tomographic imaging modalities, dynamic image sequences are typically obtained by reconstructing the individual time frames independently. This frame-by-frame reconstruction approach can be highly suboptimal because it fails to take into account the temporal correlations in the signal. The authors propose an alternative approach, based on a Karhunen-Loeve transformation of the dynamic-image reconstruction problem, that can offer both significant improvement of the reconstructed images and a substantial reduction in the computation required to reconstruct an image sequence.
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