临床mri兼容SPECT插入物DOI估计

I. D'Adda, M. Carminati, A. Cerrato, A. Morahan, K. Erlandsson, B. Hutton, C. Fiorini
{"title":"临床mri兼容SPECT插入物DOI估计","authors":"I. D'Adda, M. Carminati, A. Cerrato, A. Morahan, K. Erlandsson, B. Hutton, C. Fiorini","doi":"10.1109/NSS/MIC42677.2020.9507786","DOIUrl":null,"url":null,"abstract":"The estimation of the Depth-of-Interaction (DOI) of detected gamma photons is especially challenging for thick scintillators, yet relevant for moderately thin ones (8 mm CsI(Tl) in our case) employed in nuclear imaging. In SPECT, in particular using pinhole or slit-slat collimation, the parallax error produced by photons passing through the collimator holes, with trajectories non orthogonal to the crystal surface, can be reduced by including the DOI information into the tomographic reconstruction. We present an algorithm based on maximum likelihood that classifies into 4 layers the events absorbed in the scintillator. A novel initialization signal (a ring footprint surrounding the channel detecting the highest intensity) is proposed, only requiring a flood field irradiation as training. The algorithm is experimentally validated by means of a tilted collimated beam on a single camera. The DOI information will be applied in a stationary clinical MRI-compatible SPECT insert which is composed of 20 identical modules mounted in a partial ring.","PeriodicalId":6760,"journal":{"name":"2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","volume":"19 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DOI Estimation for a Clinical MRI-Compatible SPECT Insert\",\"authors\":\"I. D'Adda, M. Carminati, A. Cerrato, A. Morahan, K. Erlandsson, B. Hutton, C. Fiorini\",\"doi\":\"10.1109/NSS/MIC42677.2020.9507786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The estimation of the Depth-of-Interaction (DOI) of detected gamma photons is especially challenging for thick scintillators, yet relevant for moderately thin ones (8 mm CsI(Tl) in our case) employed in nuclear imaging. In SPECT, in particular using pinhole or slit-slat collimation, the parallax error produced by photons passing through the collimator holes, with trajectories non orthogonal to the crystal surface, can be reduced by including the DOI information into the tomographic reconstruction. We present an algorithm based on maximum likelihood that classifies into 4 layers the events absorbed in the scintillator. A novel initialization signal (a ring footprint surrounding the channel detecting the highest intensity) is proposed, only requiring a flood field irradiation as training. The algorithm is experimentally validated by means of a tilted collimated beam on a single camera. The DOI information will be applied in a stationary clinical MRI-compatible SPECT insert which is composed of 20 identical modules mounted in a partial ring.\",\"PeriodicalId\":6760,\"journal\":{\"name\":\"2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)\",\"volume\":\"19 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NSS/MIC42677.2020.9507786\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NSS/MIC42677.2020.9507786","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

估计探测到的伽马光子的相互作用深度(DOI)对于厚闪烁体来说尤其具有挑战性,但对于核成像中使用的中等厚度的闪烁体(在我们的情况下为8 mm CsI(Tl))是相关的。在SPECT中,特别是使用针孔或缝条准直时,光子通过准直器孔产生的视差误差可以通过将DOI信息包含到层析重建中来减小,其轨迹与晶体表面不正交。我们提出了一种基于极大似然的算法,将闪烁体吸收的事件划分为4层。提出了一种新的初始化信号(在检测最高强度的通道周围的环形足迹),只需要洪水场照射作为训练。该算法在单相机上进行了倾斜准直光束的实验验证。DOI信息将应用于固定的临床mri兼容SPECT插入物,该插入物由安装在部分环中的20个相同模块组成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DOI Estimation for a Clinical MRI-Compatible SPECT Insert
The estimation of the Depth-of-Interaction (DOI) of detected gamma photons is especially challenging for thick scintillators, yet relevant for moderately thin ones (8 mm CsI(Tl) in our case) employed in nuclear imaging. In SPECT, in particular using pinhole or slit-slat collimation, the parallax error produced by photons passing through the collimator holes, with trajectories non orthogonal to the crystal surface, can be reduced by including the DOI information into the tomographic reconstruction. We present an algorithm based on maximum likelihood that classifies into 4 layers the events absorbed in the scintillator. A novel initialization signal (a ring footprint surrounding the channel detecting the highest intensity) is proposed, only requiring a flood field irradiation as training. The algorithm is experimentally validated by means of a tilted collimated beam on a single camera. The DOI information will be applied in a stationary clinical MRI-compatible SPECT insert which is composed of 20 identical modules mounted in a partial ring.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信