Improved axial resolution in 2D PET with 3D reconstruction

K. Erlandsson, S. Strand
{"title":"Improved axial resolution in 2D PET with 3D reconstruction","authors":"K. Erlandsson, S. Strand","doi":"10.1109/NSSMIC.1995.510490","DOIUrl":null,"url":null,"abstract":"A 3D reconstruction method originally developed by the authors for 3D scanners has now been implemented for handling data from a 2D scanner. The scanner consists of 4 detector rings and gives 7 simultaneous planes including cross-planes. The axial sampling is improved by moving the patient couch. This will halve the plane separation, but there will be cross-talk between the planes. The axial sensitivity profile for each plane is, for the direct planes, fairly independent of radial position, but varies significantly for the cross-planes. The authors' 3D reconstruction technique is based on 2D reconstruction of transaxial planes and deconvolution of a position dependent axial spread function. The authors have tested two different methods for the deconvolution step; the iterative Landweber method and singular value decomposition. Evaluations were made with Monte Carlo simulations and phantom studies. The result of 3D reconstruction an improved axial resolution at the cost of a higher noise level. Iterative deconvolution gives the best compromise between resolution and noise.","PeriodicalId":409998,"journal":{"name":"1995 IEEE Nuclear Science Symposium and Medical Imaging Conference Record","volume":"133 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","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.1995.510490","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A 3D reconstruction method originally developed by the authors for 3D scanners has now been implemented for handling data from a 2D scanner. The scanner consists of 4 detector rings and gives 7 simultaneous planes including cross-planes. The axial sampling is improved by moving the patient couch. This will halve the plane separation, but there will be cross-talk between the planes. The axial sensitivity profile for each plane is, for the direct planes, fairly independent of radial position, but varies significantly for the cross-planes. The authors' 3D reconstruction technique is based on 2D reconstruction of transaxial planes and deconvolution of a position dependent axial spread function. The authors have tested two different methods for the deconvolution step; the iterative Landweber method and singular value decomposition. Evaluations were made with Monte Carlo simulations and phantom studies. The result of 3D reconstruction an improved axial resolution at the cost of a higher noise level. Iterative deconvolution gives the best compromise between resolution and noise.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过三维重建提高了二维PET的轴向分辨率
最初由作者为3D扫描仪开发的3D重建方法现已用于处理来自2D扫描仪的数据。该扫描仪由4个探测环组成,可同时给出包括交叉平面在内的7个平面。通过移动病人床,改善了轴向采样。这将使平面间隔减半,但平面之间会有串扰。对于直平面,每个平面的轴向灵敏度分布与径向位置无关,但对于交叉平面,轴向灵敏度分布变化很大。作者的三维重建技术是基于跨轴平面的二维重建和位置相关轴向扩展函数的反卷积。作者测试了反褶积步骤的两种不同方法;迭代Landweber法和奇异值分解。通过蒙特卡罗模拟和模拟研究进行了评估。三维重建的结果提高了轴向分辨率,但代价是更高的噪声水平。迭代反褶积给出了分辨率和噪声之间的最佳折衷。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The performance of the DELPHI Hadron Calorimeter at LEP AlGaAs/GaAs avalanche detector array -1 GBit/s X-ray receiver for timing measurements Parallelization of 3-D PET BpjF reconstruction on a DSP cluster Noise analysis of low noise, high count rate, PIN diode X-ray detectors Iterative reconstruction with attenuation compensation from cone-beam projections acquired via non-planar orbit
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1