Analytical Modeling of a Slit Collimator and Optimization for Small Animal Imaging Applications

Q3 Health Professions Frontiers in Biomedical Technologies Pub Date : 2023-12-26 DOI:10.18502/fbt.v11i1.14521
E. Malekzadeh
{"title":"Analytical Modeling of a Slit Collimator and Optimization for Small Animal Imaging Applications","authors":"E. Malekzadeh","doi":"10.18502/fbt.v11i1.14521","DOIUrl":null,"url":null,"abstract":"Purpose: The collimator design and optimization are essential in small animal molecular imaging for preclinical studies. In this study, a mathematical model was derived and used to optimize the slit collimator for small animal imaging applications. Materials and Methods: The geometric efficiency was formulated as a source-to-detector distance for a certain amount of the collimator resolution ( ). The first-order derivative of the derived formula gives the optimized parameters. The detector performance was modeled in terms of intrinsic resolution . Furthermore, the edge penetration effect was considered using the validated model. Results: Optimum source-to-detector distance  was found as . For an ideal detector, optimal , geometric efficiency  and slit aperture width  were found as ,  and , respectively. Where  and  are the source-to-collimator distance and detector length, respectively. For the fixed resolution of 1.0 mm, the sensitivity for different source-to-collimator distances of 50.0, 100.0, and 150.0 mm was calculated as , , and , respectively. In addition, for a sub-millimeter resolution of 0.5 mm at 15.0, 30.0, and 50.0 mm, the geometric efficiency was calculated as, , , and . For a typical source-to-collimator distance (15.0 mm), the optimal geometric efficiencies are , , , , and   for the resolutions of 0.25, 0.50, 1.0, 1.5, and 2.0 mm, respectively. Conclusion: Based on the analytic model predictions, the performance characteristics of the slit collimator in terms of geometric efficiency and resolution were extracted. The importance of the proposed model lies both in its speed and ease of application.","PeriodicalId":34203,"journal":{"name":"Frontiers in Biomedical Technologies","volume":"84 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Biomedical Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.18502/fbt.v11i1.14521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Health Professions","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: The collimator design and optimization are essential in small animal molecular imaging for preclinical studies. In this study, a mathematical model was derived and used to optimize the slit collimator for small animal imaging applications. Materials and Methods: The geometric efficiency was formulated as a source-to-detector distance for a certain amount of the collimator resolution ( ). The first-order derivative of the derived formula gives the optimized parameters. The detector performance was modeled in terms of intrinsic resolution . Furthermore, the edge penetration effect was considered using the validated model. Results: Optimum source-to-detector distance  was found as . For an ideal detector, optimal , geometric efficiency  and slit aperture width  were found as ,  and , respectively. Where  and  are the source-to-collimator distance and detector length, respectively. For the fixed resolution of 1.0 mm, the sensitivity for different source-to-collimator distances of 50.0, 100.0, and 150.0 mm was calculated as , , and , respectively. In addition, for a sub-millimeter resolution of 0.5 mm at 15.0, 30.0, and 50.0 mm, the geometric efficiency was calculated as, , , and . For a typical source-to-collimator distance (15.0 mm), the optimal geometric efficiencies are , , , , and   for the resolutions of 0.25, 0.50, 1.0, 1.5, and 2.0 mm, respectively. Conclusion: Based on the analytic model predictions, the performance characteristics of the slit collimator in terms of geometric efficiency and resolution were extracted. The importance of the proposed model lies both in its speed and ease of application.
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
狭缝准直器的分析建模和优化,用于小动物成像应用
目的:准直器的设计和优化对临床前研究中的小动物分子成像至关重要。本研究推导出一个数学模型,用于优化小动物成像应用中的狭缝准直器。 材料与方法:几何效率被表述为一定量准直器分辨率( )下光源到探测器的距离。推导公式的一阶导数给出了优化参数。探测器的性能是根据内在分辨率( )来建模的。此外,还利用验证模型考虑了边缘穿透效应。 结果发现最佳光源到探测器的距离为 .对于理想的探测器,最佳几何效率和狭缝孔径宽度分别为 、 和 。其中 , 和 分别是光源到准直器的距离和探测器的长度。对于 1.0 毫米的固定分辨率,计算出 50.0、100.0 和 150.0 毫米不同光源到准直器距离的灵敏度分别为、和。此外,对于 15.0、30.0 和 50.0 毫米处的 0.5 毫米亚毫米分辨率,几何效率分别计算为、、和。对于典型的光源到准直器距离(15.0 毫米),最佳几何效率分别为、、、和,分辨率分别为 0.25、0.50、1.0、1.5 和 2.0 毫米。 结论根据分析模型的预测,提取了狭缝准直器在几何效率和分辨率方面的性能特征。所提模型的重要性在于其快速性和易用性。
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
Frontiers in Biomedical Technologies
Frontiers in Biomedical Technologies Health Professions-Medical Laboratory Technology
CiteScore
0.80
自引率
0.00%
发文量
34
审稿时长
12 weeks
期刊最新文献
AI in Nuclear Medical Applications: Challenges and Opportunities Evaluation of Eye-Blinking Dynamics in Human Emotion Recognition Using Weighted Visibility Graph Assessment of SPECT Image Reconstruction in Liver Scanning Using 99mTc/ EDDA/ HYNIC-TOCAssessment of SPECT Image Reconstruction in Liver Scanning Using 99mTc/ EDDA/ HYNIC-TOC Analysis of the Prevalence of Lumbar Annular Tears in Adult Patients Using Magnetic Resonance Imaging Data Grading the Dominant Pathological Indices in Liver Diseases from Pathological Images Using Radiomics Methods
×
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