• 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

不同厂家 CT 扫描仪的噪声纹理定量比较。

Quantitative comparison of noise texture across CT scanners from different manufacturers.

机构信息

Department of Radiology, Duke University Medical Center, Durham, NC 27705, USA.

出版信息

Med Phys. 2012 Oct;39(10):6048-55. doi: 10.1118/1.4752209.

DOI:10.1118/1.4752209
PMID:23039643
Abstract

PURPOSE

To quantitatively compare noise texture across computed tomography (CT) scanners from different manufacturers using the noise power spectrum (NPS).

METHODS

The American College of Radiology CT accreditation phantom (Gammex 464, Gammex, Inc., Middleton, WI) was imaged on two scanners: Discovery CT 750HD (GE Healthcare, Waukesha, WI), and SOMATOM Definition Flash (Siemens Healthcare, Germany), using a consistent acquisition protocol (120 kVp, 0.625∕0.6 mm slice thickness, 250 mAs, and 22 cm field of view). Images were reconstructed using filtered backprojection and a wide selection of reconstruction kernels. For each image set, the 2D NPS were estimated from the uniform section of the phantom. The 2D spectra were normalized by their integral value, radially averaged, and filtered by the human visual response function. A systematic kernel-by-kernel comparison across manufacturers was performed by computing the root mean square difference (RMSD) and the peak frequency difference (PFD) between the NPS from different kernels. GE and Siemens kernels were compared and kernel pairs that minimized the RMSD and |PFD| were identified.

RESULTS

The RMSD (|PFD|) values between the NPS of GE and Siemens kernels varied from 0.01 mm(2) (0.002 mm(-1)) to 0.29 mm(2) (0.74 mm(-1)). The GE kernels "Soft," "Standard," "Chest," and "Lung" closely matched the Siemens kernels "B35f," "B43f," "B41f," and "B80f" (RMSD < 0.05 mm(2), |PFD| < 0.02 mm(-1), respectively). The GE "Bone," "Bone+," and "Edge" kernels all matched most closely with Siemens "B75f" kernel but with sizeable RMSD and |PFD| values up to 0.18 mm(2) and 0.41 mm(-1), respectively. These sizeable RMSD and |PFD| values corresponded to visually perceivable differences in the noise texture of the images.

CONCLUSIONS

It is possible to use the NPS to quantitatively compare noise texture across CT systems. The degree to which similar texture across scanners could be achieved varies and is limited by the kernels available on each scanner.

摘要

目的

使用噪声功率谱(NPS)定量比较来自不同制造商的 CT 扫描仪之间的噪声纹理。

方法

使用一致的采集协议(120kVp、0.625/0.6mm 层厚、250mAs 和 22cm 视野)对美国放射学院 CT 认证体模(Gammex 464,Gammex,Inc.,威斯康星州 Middleton)在两台扫描仪上进行成像:Discovery CT 750HD(GE 医疗,威斯康星州 Waukesha)和 SOMATOM Definition Flash(西门子医疗,德国)。从体模的均匀部分估算每个图像集的二维 NPS。通过人眼视觉响应函数对二维谱进行归一化、径向平均和滤波。通过计算不同内核之间 NPS 的均方根差(RMSD)和峰值频率差(PFD),对制造商之间的系统内核进行比较。对 GE 和西门子内核进行比较,并确定最小化 RMSD 和|PFD|的内核对。

结果

GE 和西门子内核的 NPS 之间的 RMSD(|PFD|)值从 0.01mm²(0.002mm⁻¹)到 0.29mm²(0.74mm⁻¹)不等。GE 内核“Soft”、“Standard”、“Chest”和“Lung”与西门子内核“B35f”、“B43f”、“B41f”和“B80f”非常匹配(RMSD<0.05mm²,|PFD|<0.02mm⁻¹)。GE“Bone”、“Bone+”和“Edge”内核与西门子“B75f”内核最为匹配,但 RMSD 和|PFD|值较大,分别高达 0.18mm²和 0.41mm⁻¹。这些较大的 RMSD 和|PFD|值对应于图像噪声纹理的视觉可察觉差异。

结论

可以使用 NPS 定量比较 CT 系统之间的噪声纹理。在多大程度上可以在扫描仪之间实现相似的纹理受到每个扫描仪上可用内核的限制。

相似文献

1
Quantitative comparison of noise texture across CT scanners from different manufacturers.不同厂家 CT 扫描仪的噪声纹理定量比较。
Med Phys. 2012 Oct;39(10):6048-55. doi: 10.1118/1.4752209.
2
A method for characterizing and matching CT image quality across CT scanners from different manufacturers.一种跨不同制造商 CT 扫描仪的 CT 图像质量特征化和匹配方法。
Med Phys. 2017 Nov;44(11):5705-5717. doi: 10.1002/mp.12554. Epub 2017 Sep 30.
3
CT head-scan dosimetry in an anthropomorphic phantom and associated measurement of ACR accreditation-phantom imaging metrics under clinically representative scan conditions.在人体模型中进行 CT 头部扫描剂量测定,并在具有临床代表性的扫描条件下对符合 ACR 认证标准的人体模型成像指标进行相关测量。
Med Phys. 2013 Aug;40(8):081917. doi: 10.1118/1.4815964.
4
Application of fractal dimension for quantifying noise texture in computed tomography images.分形维数在计算机断层扫描图像噪声纹理量化中的应用。
Med Phys. 2018 Jun 9. doi: 10.1002/mp.13040.
5
Relationships of clinical protocols and reconstruction kernels with image quality and radiation dose in a 128-slice CT scanner: study with an anthropomorphic and water phantom.128 层 CT 扫描仪中临床方案和重建核与图像质量和辐射剂量的关系:用人体模型和水模进行的研究。
Eur J Radiol. 2012 May;81(5):e699-703. doi: 10.1016/j.ejrad.2011.01.078. Epub 2011 Feb 12.
6
Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography.用于计算机断层扫描定量研究的匹配和匀化卷积核。
Invest Radiol. 2019 May;54(5):288-295. doi: 10.1097/RLI.0000000000000540.
7
Comparison of noise-magnitude and noise-texture across two generations of iterative reconstruction algorithms from three manufacturers.比较来自三家制造商的两代迭代重建算法的噪声幅度和噪声纹理。
Diagn Interv Imaging. 2019 Jul-Aug;100(7-8):401-410. doi: 10.1016/j.diii.2019.04.006. Epub 2019 May 23.
8
A simple approach to measure computed tomography (CT) modulation transfer function (MTF) and noise-power spectrum (NPS) using the American College of Radiology (ACR) accreditation phantom.一种使用美国放射学院(ACR)认证体模测量计算机断层扫描(CT)调制传递函数(MTF)和噪声功率谱(NPS)的简单方法。
Med Phys. 2013 May;40(5):051907. doi: 10.1118/1.4800795.
9
Noise assessment across two generations of iterative reconstruction algorithms of three manufacturers using bone reconstruction kernel.使用骨重建内核评估三个制造商两代迭代重建算法的噪声。
Diagn Interv Imaging. 2019 Dec;100(12):763-770. doi: 10.1016/j.diii.2019.08.003. Epub 2019 Aug 28.
10
Technical Note: Development and validation of an open data format for CT projection data.技术说明:CT投影数据开放数据格式的开发与验证
Med Phys. 2015 Dec;42(12):6964-72. doi: 10.1118/1.4935406.

引用本文的文献

1
A comparison of the image quality between deep learning reconstruction algorithm and iDose4 using low dose abdominopelvic computed tomography for individuals with normal BMI.使用低剂量腹部盆腔计算机断层扫描对正常BMI个体进行深度学习重建算法与iDose4之间的图像质量比较。
SAGE Open Med. 2025 Aug 22;13:20503121251336046. doi: 10.1177/20503121251336046. eCollection 2025.
2
Deep learning CT image restoration using system blur and noise models.基于系统模糊和噪声模型的深度学习CT图像恢复
J Med Imaging (Bellingham). 2025 Jan;12(1):014003. doi: 10.1117/1.JMI.12.1.014003. Epub 2025 Feb 3.
3
Evaluation of SR-DLR in low-dose abdominal CT: superior image quality and noise reduction.
低剂量腹部CT中SR-DLR的评估:卓越的图像质量与降噪效果
Abdom Radiol (NY). 2025 May;50(5):2321-2332. doi: 10.1007/s00261-024-04686-x. Epub 2024 Nov 19.
4
Development, validation, and application of a generic image-based noise addition method for simulating reduced dose computed tomography images.一种用于模拟低剂量计算机断层扫描图像的基于通用图像的噪声添加方法的开发、验证及应用
Med Phys. 2025 Jan;52(1):171-187. doi: 10.1002/mp.17444. Epub 2024 Oct 10.
5
Artificial intelligence-driven volumetric CT outcome score in cystic fibrosis: longitudinal and multicenter validation with/without modulators treatment.人工智能驱动的囊性纤维化容积CT结局评分:有/无调节剂治疗的纵向和多中心验证
Eur Radiol. 2025 Feb;35(2):815-827. doi: 10.1007/s00330-024-11019-5. Epub 2024 Aug 16.
6
Standardization of scan protocols for RT CT simulator from different vendors using quantitative image quality technique.使用定量图像质量技术对不同供应商的 RT CT 模拟器进行扫描协议标准化。
J Appl Clin Med Phys. 2024 Oct;25(10):e14484. doi: 10.1002/acm2.14484. Epub 2024 Aug 13.
7
Optimization of Postprocessing parameters for abdominal Forensic CT scans.腹部法医CT扫描后处理参数的优化
Forensic Sci Int Synerg. 2024 May 14;8:100478. doi: 10.1016/j.fsisyn.2024.100478. eCollection 2024.
8
The impact of automatic tube current modulation related settings of a modern GE CT scanner on image quality and patient dose; details do matter.现代 GE CT 扫描仪自动管电流调制相关设置对图像质量和患者剂量的影响;细节决定成败。
J Appl Clin Med Phys. 2024 Jun;25(6):e14356. doi: 10.1002/acm2.14356. Epub 2024 Apr 24.
9
Development and validation of the effective CNR analysis method for evaluating the contrast resolution of CT images.开发并验证了一种有效的 CNR 分析方法,用于评估 CT 图像的对比分辨率。
Phys Eng Sci Med. 2024 Jun;47(2):717-727. doi: 10.1007/s13246-024-01400-5. Epub 2024 Mar 7.
10
The influence of dual-energy computed tomography image noise in proton therapy treatment planning.双能计算机断层扫描图像噪声在质子治疗计划中的影响。
Phys Imaging Radiat Oncol. 2023 Sep 20;28:100493. doi: 10.1016/j.phro.2023.100493. eCollection 2023 Oct.