• 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

在肝脏血管造影计算机断层扫描中使用带噪声功率谱模型的混合迭代重建提高图像质量

Improvement of Image Quality Using Hybrid Iterative Reconstruction with Noise Power Spectrum Model in Computed Tomography During Hepatic Arteriography.

作者信息

Hamasaki Hiroshi, Shirasaka Takashi, Ushijima Yasuhiro, Akamine Hiroshi, Takayama Yukihisa, Kubo Yuichiro, Ishimatsu Keisuke, Nishie Akihiro, Kato Toyoyuki

机构信息

Division of Radiology, Department of Medical Technology, Kyushu University Hospital, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan.

出版信息

J Belg Soc Radiol. 2021 Sep 14;105(1):43. doi: 10.5334/jbsr.2444. eCollection 2021.

DOI:10.5334/jbsr.2444
PMID:34611577
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8447979/
Abstract

OBJECTIVES

In CT during hepatic arteriography (CTHA), the addition of a noise power spectrum (NPS) model to conventional hybrid iterative reconstruction (HIR) may improve spatial resolution and reduce image noise. This study aims at assessing the image quality provided by HIR with a NPS model at CTHA.

METHODS

This institutional review board-approved retrospective analysis included 26 patients with hepatocellular carcinomas (HCCs) who underwent CTHA. In all acquisitions, images were reconstructed with filtered back projection (FBP), adaptive iterative dose reduction 3D (AIDR), and AIDR enhanced (eAIDR) with the NPS model. Four radiologists analyzed the signal-to-noise ratio (SNR) of HCC nodules and its associated feeding arteries. The radiologists used a semiquantitative scale (-3 to +3) to rate the subjective image quality comparing both the FBP and eAIDR images with the AIDR images.

RESULTS

The feeding arteries' attenuation was significantly higher in eAIDR compared to AIDR [514.3 ± 121.4 and 448.3 ± 107.3 Hounsfield units (HU), p < 0.05]. The image noise of eAIDR was significantly lower than that of FBP (15.2 ± 2.2 and 28.5 ± 4.8 HU, p < 0.05) and comparable to that of AIDR. The SNR of feeding arteries on eAIDR was significantly higher than on AIDR (34.1 ± 7.9 and 27.4 ± 6.3, p < 0.05). Subjective assessment scores showed that eAIDR provided better visibility of feeding arteries and overall image quality compared to AIDR (p < 0.05). The HCC nodule visibility was not significantly different among the three reconstructions.

CONCLUSION

In CTHA, eAIDR improved the visibility of feeding arteries associated with HCC nodules without compromising nodule detection.

摘要

目的

在肝动脉造影CT(CTHA)中,将噪声功率谱(NPS)模型添加到传统的混合迭代重建(HIR)中可能会提高空间分辨率并降低图像噪声。本研究旨在评估CTHA中使用NPS模型的HIR所提供的图像质量。

方法

这项经机构审查委员会批准的回顾性分析纳入了26例接受CTHA的肝细胞癌(HCC)患者。在所有采集过程中,图像均采用滤波反投影(FBP)、自适应迭代剂量降低3D(AIDR)以及带有NPS模型的AIDR增强(eAIDR)进行重建。四名放射科医生分析了HCC结节及其相关供血动脉的信噪比(SNR)。放射科医生使用半定量量表(-3至+3)对主观图像质量进行评分,将FBP和eAIDR图像与AIDR图像进行比较。

结果

与AIDR相比,eAIDR中供血动脉的衰减明显更高[514.3±121.4和448.3±107.3亨氏单位(HU),p<0.05]。eAIDR的图像噪声明显低于FBP(15.2±2.2和28.5±4.8 HU,p<0.05),与AIDR相当。eAIDR上供血动脉的SNR明显高于AIDR(34.1±7.9和27.4±6.3,p<0.05)。主观评估得分显示,与AIDR相比,eAIDR提供了更好的供血动脉可见性和整体图像质量(p<0.05)。三种重建方法之间HCC结节的可见性没有显著差异。

结论

在CTHA中,eAIDR提高了与HCC结节相关的供血动脉的可见性,而不影响结节的检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b045/8447979/5ef23881a41e/jbsr-105-1-2444-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b045/8447979/9d58aa0dac28/jbsr-105-1-2444-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b045/8447979/d28bc023f505/jbsr-105-1-2444-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b045/8447979/ae5c145e037e/jbsr-105-1-2444-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b045/8447979/5ef23881a41e/jbsr-105-1-2444-g4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b045/8447979/9d58aa0dac28/jbsr-105-1-2444-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b045/8447979/d28bc023f505/jbsr-105-1-2444-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b045/8447979/ae5c145e037e/jbsr-105-1-2444-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b045/8447979/5ef23881a41e/jbsr-105-1-2444-g4.jpg

相似文献

1
Improvement of Image Quality Using Hybrid Iterative Reconstruction with Noise Power Spectrum Model in Computed Tomography During Hepatic Arteriography.在肝脏血管造影计算机断层扫描中使用带噪声功率谱模型的混合迭代重建提高图像质量
J Belg Soc Radiol. 2021 Sep 14;105(1):43. doi: 10.5334/jbsr.2444. eCollection 2021.
2
Effects of contrast enhancement boost postprocessing technique in combination with different reconstruction algorithms on the image quality of abdominal CT angiography.增强对比剂后处理技术联合不同重建算法对腹部 CT 血管成像图像质量的影响。
Eur J Radiol. 2022 Sep;154:110388. doi: 10.1016/j.ejrad.2022.110388. Epub 2022 Jun 2.
3
[Improvement of Image Quality in the Axial Section Using High-resolution Scan Mode and Hybrid Iterative Reconstruction in Ultra-high-resolution Computed Tomography].[超高分辨率计算机断层扫描中使用高分辨率扫描模式和混合迭代重建改善轴向截面图像质量]
Nihon Hoshasen Gijutsu Gakkai Zasshi. 2018 Dec;74(12):1419-1427. doi: 10.6009/jjrt.2018_JSRT_74.12.1419.
4
CT image quality improvement using Adaptive Iterative Dose Reduction with wide-volume acquisition on 320-detector CT.利用 320 排探测器 CT 宽体采集自适应迭代剂量降低技术改善 CT 图像质量。
Eur Radiol. 2012 Feb;22(2):295-301. doi: 10.1007/s00330-011-2271-7. Epub 2011 Sep 17.
5
Quantitative and qualitative evaluation of hybrid iterative reconstruction, with and without noise power spectrum models: A phantom study.使用和不使用噪声功率谱模型的混合迭代重建的定量和定性评估:体模研究
J Appl Clin Med Phys. 2018 May;19(3):318-325. doi: 10.1002/acm2.12304. Epub 2018 Feb 28.
6
Dose reduction in chest CT: comparison of the adaptive iterative dose reduction 3D, adaptive iterative dose reduction, and filtered back projection reconstruction techniques.胸部 CT 剂量降低:自适应迭代剂量降低 3D、自适应迭代剂量降低和滤波反投影重建技术的比较。
Eur J Radiol. 2012 Dec;81(12):4185-95. doi: 10.1016/j.ejrad.2012.07.013. Epub 2012 Aug 9.
7
Image quality of adaptive iterative dose reduction 3D of coronary CT angiography of 640-slice CT: comparison with filtered back-projection.640 层 CT 自适应迭代剂量降低 3D 冠状动脉 CT 血管成像的图像质量:与滤波反投影的比较。
Int J Cardiovasc Imaging. 2013 Mar;29(3):669-76. doi: 10.1007/s10554-012-0113-6. Epub 2012 Aug 26.
8
Adaptive iterative dose reduction algorithm in CT: effect on image quality compared with filtered back projection in body phantoms of different sizes.CT 中的自适应迭代剂量降低算法:与不同大小体模的滤波反投影相比对图像质量的影响。
Korean J Radiol. 2014 Mar-Apr;15(2):195-204. doi: 10.3348/kjr.2014.15.2.195. Epub 2014 Mar 7.
9
Forward-Projected Model-Based Iterative Reconstruction in Screening Low-Dose Chest CT: Comparison With Adaptive Iterative Dose Reduction 3D.基于正向预测模型的迭代重建在低剂量胸部 CT 筛查中的应用:与自适应迭代剂量降低 3D 的比较
AJR Am J Roentgenol. 2018 Sep;211(3):548-556. doi: 10.2214/AJR.17.19245. Epub 2018 Jul 24.
10
Performance of adaptive iterative dose reduction 3D integrated with automatic tube current modulation in radiation dose and image noise reduction compared with filtered-back projection for 80-kVp abdominal CT: Anthropomorphic phantom and patient study.80千伏峰值电压腹部CT中自适应迭代剂量降低3D与自动管电流调制相结合在辐射剂量和图像降噪方面的性能与滤波反投影法的比较:仿真人体模型和患者研究
Eur J Radiol. 2016 Sep;85(9):1666-72. doi: 10.1016/j.ejrad.2016.07.002. Epub 2016 Jul 12.

引用本文的文献

1
Improved Image Quality of Virtual Monochromatic Images with Deep Learning Image Reconstruction Algorithm on Dual-Energy CT in Patients with Pancreatic Ductal Adenocarcinoma.深度学习图像重建算法用于提高胰腺导管腺癌患者双能CT虚拟单色图像的质量
J Imaging Inform Med. 2025 Apr 30. doi: 10.1007/s10278-025-01514-6.

本文引用的文献

1
Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.深度学习重建可提高腹部超高分辨率 CT 的图像质量。
Eur Radiol. 2019 Nov;29(11):6163-6171. doi: 10.1007/s00330-019-06170-3. Epub 2019 Apr 11.
2
Deep learning-based image restoration algorithm for coronary CT angiography.基于深度学习的冠状动脉 CT 血管造影图像恢复算法。
Eur Radiol. 2019 Oct;29(10):5322-5329. doi: 10.1007/s00330-019-06183-y. Epub 2019 Apr 8.
3
Quantitative and qualitative evaluation of hybrid iterative reconstruction, with and without noise power spectrum models: A phantom study.
使用和不使用噪声功率谱模型的混合迭代重建的定量和定性评估:体模研究
J Appl Clin Med Phys. 2018 May;19(3):318-325. doi: 10.1002/acm2.12304. Epub 2018 Feb 28.
4
Statistical model based iterative reconstruction (MBIR) in clinical CT systems: experimental assessment of noise performance.临床CT系统中基于统计模型的迭代重建(MBIR):噪声性能的实验评估
Med Phys. 2014 Apr;41(4):041906. doi: 10.1118/1.4867863.
5
Model-based iterative reconstruction and adaptive statistical iterative reconstruction techniques in abdominal CT: comparison of image quality in the detection of colorectal liver metastases.基于模型的迭代重建和自适应统计迭代重建技术在腹部 CT 中的应用:在检测结直肠癌肝转移中的图像质量比较。
Radiology. 2013 Nov;269(2):469-74. doi: 10.1148/radiol.13130002. Epub 2013 Jul 11.
6
Filtered back projection, adaptive statistical iterative reconstruction, and a model-based iterative reconstruction in abdominal CT: an experimental clinical study.滤波反投影、自适应统计迭代重建和基于模型的迭代重建在腹部 CT 中的应用:一项实验性临床研究。
Radiology. 2013 Jan;266(1):197-206. doi: 10.1148/radiol.12112707. Epub 2012 Nov 20.
7
Towards task-based assessment of CT performance: system and object MTF across different reconstruction algorithms.面向 CT 性能的基于任务的评估:不同重建算法下的系统和物体调制传递函数。
Med Phys. 2012 Jul;39(7):4115-22. doi: 10.1118/1.4725171.
8
Model-based iterative reconstruction technique for radiation dose reduction in chest CT: comparison with the adaptive statistical iterative reconstruction technique.基于模型的迭代重建技术在胸部 CT 中的应用:与自适应统计迭代重建技术的比较。
Eur Radiol. 2012 Aug;22(8):1613-23. doi: 10.1007/s00330-012-2452-z. Epub 2012 Apr 27.
9
Efficacy of selective transarterial chemoembolization in inducing tumor necrosis in small (<5 cm) hepatocellular carcinomas.选择性经动脉化疗栓塞术诱导小(<5cm)肝癌肿瘤坏死的疗效。
Hepatology. 2011 May;53(5):1580-9. doi: 10.1002/hep.24246.
10
Identifying feeding arteries during TACE of hepatic tumors: comparison of C-arm CT and digital subtraction angiography.肝肿瘤经动脉化疗栓塞术(TACE)中供血动脉的识别:C臂CT与数字减影血管造影的比较
AJR Am J Roentgenol. 2009 Apr;192(4):1057-63. doi: 10.2214/AJR.08.1285.