• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

新一代数字化锗铋氧化物 PET/CT 系统(奥米龙 32 型)的性能特征,符合 NEMA NU 2-2018 标准。

Performance Characteristics of a New-Generation Digital Bismuth Germanium Oxide PET/CT System, Omni Legend 32, According to NEMA NU 2-2018 Standards.

机构信息

Center of Radiology and Diagnostic Imaging, Aizawa Hospital, Nagano, Japan; and.

Department of Radiological Sciences, School of Health Sciences, Fukushima Medical University, Fukushima, Japan

出版信息

J Nucl Med. 2023 Dec 1;64(12):1990-1997. doi: 10.2967/jnumed.123.266140.

DOI:10.2967/jnumed.123.266140
PMID:37857503
Abstract

The Omni Legend 32 PET/CT system features silicon photomultiplier (SiPM)-based detectors with bismuth germanium oxide crystals and a 32-cm axial field of view (FOV). The present study aimed to determine the performance characteristics of the Omni Legend 32 PET/CT system according to National Electrical Manufacturers Association (NEMA) NU 2-2018 standards. The PET component of this system comprises 22 detector modules; each module contains 24 detector blocks with 72 bismuth germanium oxide crystals with a volume of 4.1 × 4.1 × 30 mm coupled to 18 SiPM devices with a 6 × 6 mm area, resulting in an axial FOV of 32 cm. The spatial resolution, sensitivity, count rate performance, and image quality delivered by PET were evaluated using the NEMA NU 2-2018 standard. PET images of 2 patients were evaluated to get a visual first impression of the Omni Legend 32 PET/CT system together with Precision DL. The average spatial resolution at 1, 10, and 20 cm from the central axis was 4.3, 5.3, and 6.2 mm, respectively, for filtered backprojection and 3.7, 4.3, and 5.1 mm, respectively, for ordered-subset expectation maximization. The NEMA sensitivity was 47.30 and 47.05 cps/kBq at the axial center of the FOV and at a 10-cm radial offset, respectively. The scatter fraction, count rate accuracy, and peak noise-equivalent count rates were 35.4%, 1.7%, and 501.7 kcps, respectively, at 15.7 kBq/mL. Contrast recovery for the NEMA body phantom from the smallest to the largest sphere ranged from 61.3% to 93.0%, with a background variability of 5.4%-11.7% and a lung error of 5.1% for Q.Clear (β-value, 50). Good patient image quality was obtained with the Omni Legend 32. The Omni Legend 32 has class-leading sensitivity and count rates within the category of whole-body PET systems while maintaining spatial resolution broadly comparable to that of other current SiPM-based PET/CT systems. This combination of properties results in a very good image quality.

摘要

奥米尼传奇 32 PET/CT 系统采用基于硅光电倍增管(SiPM)的探测器,搭配锗酸铋晶体,以及 32cm 的轴向视野(FOV)。本研究旨在根据美国电器制造商协会(NEMA)NU 2-2018 标准,确定奥米尼传奇 32 PET/CT 系统的性能特点。该系统的 PET 组件由 22 个探测器模块组成;每个模块包含 24 个探测器块,每个块包含 72 个锗酸铋晶体,晶体体积为 4.1×4.1×30mm,与 18 个具有 6×6mm 面积的 SiPM 器件耦合,从而实现 32cm 的轴向 FOV。采用 NEMA NU 2-2018 标准评估 PET 的空间分辨率、灵敏度、计数率性能和图像质量。使用 NEMA NU 2-2018 标准对 2 名患者的 PET 图像进行评估,以获得对奥米尼传奇 32 PET/CT 系统和 Precision DL 的直观第一印象。在距中心轴 1、10 和 20cm 处的平均空间分辨率分别为过滤反投影的 4.3、5.3 和 6.2mm,有序子集期望最大化的分别为 3.7、4.3 和 5.1mm。在 FOV 轴中心和 10cm 半径偏移处的 NEMA 灵敏度分别为 47.30 和 47.05cps/kBq。在 15.7kBq/mL 时,散射分数、计数率精度和峰值噪声等效计数率分别为 35.4%、1.7%和 501.7kcps。NEMA 体模的对比恢复范围从小球到最大球分别为 61.3%到 93.0%,背景变异性为 5.4%-11.7%,Q.Clear(β 值,50)的肺部误差为 5.1%。奥米尼传奇 32 获得了良好的患者图像质量。奥米尼传奇 32 在全身 PET 系统类别中具有领先的灵敏度和计数率,同时保持与其他当前基于 SiPM 的 PET/CT 系统大致相当的空间分辨率。这种特性组合带来了非常好的图像质量。

相似文献

1
Performance Characteristics of a New-Generation Digital Bismuth Germanium Oxide PET/CT System, Omni Legend 32, According to NEMA NU 2-2018 Standards.新一代数字化锗铋氧化物 PET/CT 系统(奥米龙 32 型)的性能特征,符合 NEMA NU 2-2018 标准。
J Nucl Med. 2023 Dec 1;64(12):1990-1997. doi: 10.2967/jnumed.123.266140.
2
An extended bore length solid-state digital-BGO PET/CT system: design, preliminary experience, and performance characteristics.一种扩展孔径长度的固态数字 BGO PET/CT 系统:设计、初步经验和性能特点。
Eur J Nucl Med Mol Imaging. 2024 Mar;51(4):954-964. doi: 10.1007/s00259-023-06514-8. Epub 2023 Nov 28.
3
NEMA NU 2-2018 evaluation and image quality optimization of a new generation digital 32-cm axial field-of-view Omni Legend PET-CT using a genetic evolutionary algorithm.NEMA NU 2-2018 评估和使用遗传进化算法优化新一代 32 厘米轴向视野 Omni Legend PET-CT 的图像质量。
Biomed Phys Eng Express. 2024 Feb 20;10(2). doi: 10.1088/2057-1976/ad286c.
4
Performance Characteristics of the Digital Biograph Vision PET/CT System.Digital Biograph Vision PET/CT 系统的性能特点。
J Nucl Med. 2019 Jul;60(7):1031-1036. doi: 10.2967/jnumed.118.215418. Epub 2019 Jan 10.
5
NEMA NU-04-based performance characteristics of the LabPET-8™ small animal PET scanner.基于 NEMA NU-04 的 LabPET-8™ 小动物 PET 扫描仪性能特征。
Phys Med Biol. 2011 Oct 21;56(20):6649-64. doi: 10.1088/0031-9155/56/20/009. Epub 2011 Sep 23.
6
Technical Note: Performance evaluation of a small-animal PET/CT system based on NEMA NU 4-2008 standards.技术说明:基于 NEMA NU 4-2008 标准的小动物 PET/CT 系统性能评估。
Med Phys. 2021 Sep;48(9):5272-5282. doi: 10.1002/mp.15088. Epub 2021 Jul 26.
7
Performance evaluation of the 5-Ring GE Discovery MI PET/CT system using the national electrical manufacturers association NU 2-2012 Standard.采用国家电器制造商协会 NU 2-2012 标准对 5 环 GE Discovery MI PET/CT 系统进行性能评估。
Med Phys. 2019 Jul;46(7):3025-3033. doi: 10.1002/mp.13576. Epub 2019 May 31.
8
Studies of a Next-Generation Silicon-Photomultiplier-Based Time-of-Flight PET/CT System.基于下一代硅光电倍增管的飞行时间PET/CT系统的研究。
J Nucl Med. 2017 Sep;58(9):1511-1518. doi: 10.2967/jnumed.117.189514. Epub 2017 Apr 27.
9
Monte Carlo evaluation of hypothetical long axial field-of-view PET scanner using GE Discovery MI PET front-end architecture.使用 GE Discovery MI PET 前端架构对假设的长轴向视野 PET 扫描仪进行蒙特卡罗评估。
Med Phys. 2022 Feb;49(2):1139-1152. doi: 10.1002/mp.15422. Epub 2022 Jan 10.
10
NEMA NU 2-2018 performance evaluation of a new generation 30-cm axial field-of-view Discovery MI PET/CT.NEMA NU 2-2018 新一代 30cm 轴向视野 Discovery MI PET/CT 的性能评估。
Eur J Nucl Med Mol Imaging. 2022 Jul;49(9):3023-3032. doi: 10.1007/s00259-022-05751-7. Epub 2022 Mar 14.

引用本文的文献

1
Evaluation of a digital bismuth germanium oxide PET/CT system according to the Japanese brain tumor phantom test for F-fluciclovine imaging.根据日本脑肿瘤体模测试对数字氧化铋锗正电子发射断层显像/计算机断层扫描(PET/CT)系统进行¹⁸F-氟代脱氧胸苷(¹⁸F-FLT)成像评估。
Phys Eng Sci Med. 2025 Jul 22. doi: 10.1007/s13246-025-01608-z.
2
Innovations in clinical PET image reconstruction: advances in Bayesian penalized likelihood algorithm and deep learning.临床正电子发射断层显像(PET)图像重建的创新:贝叶斯惩罚似然算法与深度学习的进展
Ann Nucl Med. 2025 Jul 18. doi: 10.1007/s12149-025-02088-7.
3
Dual-ended readout TOF-DOI PET detectors based on 3.2 mm and 1.6 mm pitch LYSO arrays.
基于3.2毫米和1.6毫米间距LYSO阵列的双端读出TOF-DOI PET探测器。
EJNMMI Phys. 2025 May 27;12(1):51. doi: 10.1186/s40658-025-00759-y.
4
Quantitative PET imaging and modeling of molecular blood-brain barrier permeability.分子血脑屏障通透性的定量PET成像与建模
Nat Commun. 2025 Mar 30;16(1):3076. doi: 10.1038/s41467-025-58356-7.
5
Effects of a deep learning-based image quality enhancement method on a digital-BGO PET/CT system for F-FDG whole-body examination.基于深度学习的图像质量增强方法对用于F-FDG全身检查的数字化BGO PET/CT系统的影响。
EJNMMI Phys. 2025 Mar 28;12(1):29. doi: 10.1186/s40658-025-00742-7.
6
Time to shift to Digital PET/CT?是时候转向数字PET/CT了吗?
Nucl Med Mol Imaging. 2025 Apr;59(2):100-102. doi: 10.1007/s13139-024-00900-2. Epub 2024 Dec 24.
7
Deep learning-based time-of-flight (ToF) enhancement of non-ToF PET scans for different radiotracers.基于深度学习的非飞行时间(ToF)正电子发射断层扫描(PET)扫描对不同放射性示踪剂的飞行时间(ToF)增强
Eur J Nucl Med Mol Imaging. 2025 Feb 18. doi: 10.1007/s00259-025-07119-z.
8
Total Body PET/CT: Future Aspects.全身正电子发射断层显像/计算机断层扫描:未来展望。
Semin Nucl Med. 2025 Jan;55(1):107-115. doi: 10.1053/j.semnuclmed.2024.10.011. Epub 2024 Nov 13.
9
Performance Characteristics of a New Generation 148-cm Axial Field-of-View uMI Panorama GS PET/CT System with Extended NEMA NU 2-2018 and EARL Standards.新一代148厘米轴向视野uMI全景GS PET/CT系统符合扩展的NEMA NU 2-2018和EARL标准的性能特征
J Nucl Med. 2024 Dec 3;65(12):1974-1982. doi: 10.2967/jnumed.124.267963.
10
Assessing the deep learning based image quality enhancements for the BGO based GE omni legend PET/CT.评估基于深度学习的针对通用电气(GE)全数字传奇PET/CT的BGO探测器的图像质量增强效果。
EJNMMI Phys. 2024 Oct 16;11(1):86. doi: 10.1186/s40658-024-00688-2.