Yu Yunhan, Yan Xia, Wei Wang, Yaqiang Liu, K. Ying, Shi Wang, Tianyu Ma
{"title":"基于多边形像素网格的PET图像重建算法:开发、应用及性能比较","authors":"Yu Yunhan, Yan Xia, Wei Wang, Yaqiang Liu, K. Ying, Shi Wang, Tianyu Ma","doi":"10.1109/NSSMIC.2013.6829237","DOIUrl":null,"url":null,"abstract":"System matrix works as an association between image and detected data. Accurate expression of the system matrix is a key component during PET image reconstruction. However, with numerous Line-of-Responses (LORs) detected in modern 3D PET scanner, the huge storage size of a full system matrix increases computational burden. To solve this essential issue, we designed a rotationally symmetric polygonal pixel grid with fan-shaped segments in the image domain to efficiently compress the matrix with geometrical symmetries. This idea mainly came from the polygonal geometry of detector rings in most PET system.","PeriodicalId":246351,"journal":{"name":"2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC)","volume":"99 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Polygonal pixel grid based PET image reconstruction algorithm: Development, application and performance comparison\",\"authors\":\"Yu Yunhan, Yan Xia, Wei Wang, Yaqiang Liu, K. Ying, Shi Wang, Tianyu Ma\",\"doi\":\"10.1109/NSSMIC.2013.6829237\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"System matrix works as an association between image and detected data. Accurate expression of the system matrix is a key component during PET image reconstruction. However, with numerous Line-of-Responses (LORs) detected in modern 3D PET scanner, the huge storage size of a full system matrix increases computational burden. To solve this essential issue, we designed a rotationally symmetric polygonal pixel grid with fan-shaped segments in the image domain to efficiently compress the matrix with geometrical symmetries. This idea mainly came from the polygonal geometry of detector rings in most PET system.\",\"PeriodicalId\":246351,\"journal\":{\"name\":\"2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC)\",\"volume\":\"99 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSSMIC.2013.6829237\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.2013.6829237","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Polygonal pixel grid based PET image reconstruction algorithm: Development, application and performance comparison
System matrix works as an association between image and detected data. Accurate expression of the system matrix is a key component during PET image reconstruction. However, with numerous Line-of-Responses (LORs) detected in modern 3D PET scanner, the huge storage size of a full system matrix increases computational burden. To solve this essential issue, we designed a rotationally symmetric polygonal pixel grid with fan-shaped segments in the image domain to efficiently compress the matrix with geometrical symmetries. This idea mainly came from the polygonal geometry of detector rings in most PET system.