Pragmatic image reconstruction for the MiCES Fully-3D mouse imaging PET scanner

2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515) Pub Date : 2003-10-19 DOI:10.1109/NSSMIC.2003.1352414

K. Lee, Paul Kinahan, J. Fessler, R. Miyaoka, T. Lewellen

{"title":"Pragmatic image reconstruction for the MiCES Fully-3D mouse imaging PET scanner","authors":"K. Lee, Paul Kinahan, J. Fessler, R. Miyaoka, T. Lewellen","doi":"10.1109/NSSMIC.2003.1352414","DOIUrl":null,"url":null,"abstract":"We present a pragmatic approach to image reconstruction for data from the MiCES fully-3D mouse imaging PET scanner under construction at the University of Washington. Our approach is modeled on fully-3D image reconstruction used in clinical PET scanners, which is based on Fourier rebinning (FORE) followed by 2D iterative image reconstruction. The use of iterative methods allows modeling the effects of statistical noise and attenuation etc., while FORE accelerates the reconstruction process by reducing the fully-3D data to a stacked set of independent 2D sinograms. Preliminary investigations have indicated that nonstationary detector point-spread response effects, which are ignored for clinical imaging, significantly impact image quality for the MiCES scanner geometry. To model the effect of nonstationary detector point spread response, we have added a factorized system matrix to the ASPIRE reconstruction library. The current implementation uses FORE+AWOSEM followed by postreconstruction 3D Gaussian smoothing. The results indicate that the proposed approach produces a dramatic improvement in resolution without undue increases in noise.","PeriodicalId":186175,"journal":{"name":"2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSSMIC.2003.1352414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 16

Abstract

We present a pragmatic approach to image reconstruction for data from the MiCES fully-3D mouse imaging PET scanner under construction at the University of Washington. Our approach is modeled on fully-3D image reconstruction used in clinical PET scanners, which is based on Fourier rebinning (FORE) followed by 2D iterative image reconstruction. The use of iterative methods allows modeling the effects of statistical noise and attenuation etc., while FORE accelerates the reconstruction process by reducing the fully-3D data to a stacked set of independent 2D sinograms. Preliminary investigations have indicated that nonstationary detector point-spread response effects, which are ignored for clinical imaging, significantly impact image quality for the MiCES scanner geometry. To model the effect of nonstationary detector point spread response, we have added a factorized system matrix to the ASPIRE reconstruction library. The current implementation uses FORE+AWOSEM followed by postreconstruction 3D Gaussian smoothing. The results indicate that the proposed approach produces a dramatic improvement in resolution without undue increases in noise.

查看原文本刊更多论文

实用的图像重建的mice全三维鼠标成像PET扫描仪

我们提出了一种实用的方法，对华盛顿大学正在建造的MiCES全3d小鼠成像PET扫描仪的数据进行图像重建。我们的方法以临床PET扫描仪中使用的全3d图像重建为模型，该方法基于傅里叶重建(FORE)，然后是二维迭代图像重建。使用迭代方法可以对统计噪声和衰减等影响进行建模，而FORE通过将全3d数据减少到一组堆叠的独立2D图来加速重建过程。初步研究表明，在临床成像中被忽略的非平稳探测器点扩展响应效应，会显著影响MiCES扫描仪几何形状的图像质量。为了模拟非平稳探测器点扩展响应的影响，我们在ASPIRE重建库中加入了一个分解的系统矩阵。目前的实现使用FORE+AWOSEM，然后是后期的3D高斯平滑。结果表明，该方法在不增加噪声的情况下显著提高了分辨率。

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分钟内获得全文求助全文

来源期刊

2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515)

自引率

0.00%

发文量