• 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

一项采用主观和客观方法对计算机断层扫描自适应统计迭代重建脑图像的图像质量进行的研究。

A STUDY OF THE IMAGE QUALITY OF COMPUTED TOMOGRAPHY ADAPTIVE STATISTICAL ITERATIVE RECONSTRUCTED BRAIN IMAGES USING SUBJECTIVE AND OBJECTIVE METHODS.

作者信息

Mangat J, Morgan J, Benson E, Båth M, Lewis M, Reilly A

机构信息

Cardiac CT Department, Barts Heart Centre, Bartshealth NHS Trust, London, UK

Radiography Department, School of Health Sciences, City University, London, UK.

出版信息

Radiat Prot Dosimetry. 2016 Jun;169(1-4):92-9. doi: 10.1093/rpd/ncw084. Epub 2016 Apr 21.

DOI:10.1093/rpd/ncw084
PMID:27103646
Abstract

The recent reintroduction of iterative reconstruction in computed tomography has facilitated the realisation of major dose saving. The aim of this article was to investigate the possibility of achieving further savings at a site with well-established Adaptive Statistical iterative Reconstruction (ASiR™) (GE Healthcare) brain protocols. An adult patient study was conducted with observers making visual grading assessments using image quality criteria, which were compared with the frequency domain metrics, noise power spectrum and modulation transfer function. Subjective image quality equivalency was found in the 40-70% ASiR™ range, leading to the proposal of ranges for the objective metrics defining acceptable image quality. Based on the findings of both the patient-based and objective studies of the ASiR™/tube-current combinations tested, 60%/305 mA was found to fall within all, but one, of these ranges. Therefore, it is recommended that an ASiR™ level of 60%, with a noise index of 12.20, is a viable alternative to the currently used protocol featuring a 40% ASiR™ level and a noise index of 11.20, potentially representing a 16% dose saving.

摘要

近期计算机断层扫描中迭代重建技术的重新引入有助于实现大幅剂量节省。本文的目的是研究在一个已建立成熟的自适应统计迭代重建(ASiR™)(通用电气医疗集团)脑部扫描方案的场所进一步节省剂量的可能性。进行了一项成年患者研究,由观察者使用图像质量标准进行视觉分级评估,并将其与频域指标、噪声功率谱和调制传递函数进行比较。在40 - 70% ASiR™范围内发现主观图像质量相当,从而提出了定义可接受图像质量的客观指标范围。基于对所测试的ASiR™/管电流组合的患者研究和客观研究结果,发现60%/305 mA除了一个范围外,均落在所有这些范围内。因此,建议采用ASiR™水平为60%、噪声指数为12.20的方案,作为当前使用的ASiR™水平为40%、噪声指数为11.20方案的可行替代方案,这可能意味着剂量节省16%。

相似文献

1
A STUDY OF THE IMAGE QUALITY OF COMPUTED TOMOGRAPHY ADAPTIVE STATISTICAL ITERATIVE RECONSTRUCTED BRAIN IMAGES USING SUBJECTIVE AND OBJECTIVE METHODS.一项采用主观和客观方法对计算机断层扫描自适应统计迭代重建脑图像的图像质量进行的研究。
Radiat Prot Dosimetry. 2016 Jun;169(1-4):92-9. doi: 10.1093/rpd/ncw084. Epub 2016 Apr 21.
2
COMPARISON OF ADAPTIVE STATISTICAL ITERATIVE RECONSTRUCTION (ASIR™) AND MODEL-BASED ITERATIVE RECONSTRUCTION (VEO™) FOR PAEDIATRIC ABDOMINAL CT EXAMINATIONS: AN OBSERVER PERFORMANCE STUDY OF DIAGNOSTIC IMAGE QUALITY.自适应统计迭代重建(ASIR™)与基于模型的迭代重建(VEO™)在儿科腹部CT检查中的比较:诊断图像质量的观察者性能研究
Radiat Prot Dosimetry. 2016 Jun;169(1-4):107-14. doi: 10.1093/rpd/ncv557. Epub 2016 Feb 11.
3
Characterization of adaptive statistical iterative reconstruction algorithm for dose reduction in CT: A pediatric oncology perspective.描述适用于 CT 剂量降低的自适应统计迭代重建算法:儿科肿瘤学视角。
Med Phys. 2012 Sep;39(9):5520-31. doi: 10.1118/1.4745563.
4
ASSESSMENT OF CLINICAL IMAGE QUALITY IN PAEDIATRIC ABDOMINAL CT EXAMINATIONS: DEPENDENCY ON THE LEVEL OF ADAPTIVE STATISTICAL ITERATIVE RECONSTRUCTION (ASiR) AND THE TYPE OF CONVOLUTION KERNEL.儿科腹部CT检查中临床图像质量评估:取决于自适应统计迭代重建(ASiR)水平和卷积核类型
Radiat Prot Dosimetry. 2016 Jun;169(1-4):123-9. doi: 10.1093/rpd/ncw017. Epub 2016 Feb 27.
5
Improvements to image quality using hybrid and model-based iterative reconstructions: a phantom study.使用混合及基于模型的迭代重建改善图像质量:一项体模研究。
Acta Radiol. 2017 Jan;58(1):53-61. doi: 10.1177/0284185116631180. Epub 2016 Feb 27.
6
MODEL-BASED ITERATIVE RECONSTRUCTION ENABLES THE EVALUATION OF THIN-SLICE COMPUTED TOMOGRAPHY IMAGES WITHOUT DEGRADING IMAGE QUALITY OR INCREASING RADIATION DOSE.基于模型的迭代重建技术能够在不降低图像质量或增加辐射剂量的情况下,实现对薄层计算机断层扫描图像的评估。
Radiat Prot Dosimetry. 2016 Jun;169(1-4):100-6. doi: 10.1093/rpd/ncv474. Epub 2015 Nov 20.
7
Initial phantom study comparing image quality in computed tomography using adaptive statistical iterative reconstruction and new adaptive statistical iterative reconstruction v.使用自适应统计迭代重建和新型自适应统计迭代重建v进行计算机断层扫描图像质量比较的初始体模研究
J Comput Assist Tomogr. 2015 May-Jun;39(3):443-8. doi: 10.1097/RCT.0000000000000216.
8
Computed tomography depiction of small pediatric vessels with model-based iterative reconstruction.基于模型的迭代重建技术对小儿小血管的计算机断层扫描成像
Pediatr Radiol. 2014 Jul;44(7):787-94. doi: 10.1007/s00247-014-2899-y. Epub 2014 Feb 16.
9
THE EFFECT OF ADAPTIVE STATISTICAL ITERATIVE RECONSTRUCTION ON THE ASSESSMENT OF DIAGNOSTIC IMAGE QUALITY AND VISUALISATION OF ANATOMICAL STRUCTURES IN PAEDIATRIC CEREBRAL CT EXAMINATIONS.自适应统计迭代重建对儿科脑CT检查中诊断图像质量评估及解剖结构可视化的影响
Radiat Prot Dosimetry. 2016 Jun;169(1-4):115-22. doi: 10.1093/rpd/ncv558. Epub 2016 Feb 11.
10
A Comparison of the Image Quality and Radiation Dose Using 100-kVp Combination of Different Noise Index and 120-kVp in Computed Tomography Pulmonary Angiography.100千伏峰值下不同噪声指数组合与120千伏峰值在计算机断层扫描肺动脉造影中图像质量和辐射剂量的比较
J Comput Assist Tomogr. 2016 Sep-Oct;40(5):784-90. doi: 10.1097/RCT.0000000000000488.

引用本文的文献

1
A personalized deep learning denoising strategy for low-count PET images.一种用于低计数 PET 图像的个性化深度学习去噪策略。
Phys Med Biol. 2022 Jul 13;67(14). doi: 10.1088/1361-6560/ac783d.