• 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

基于深度学习的重建和 3T 时 MRCP 的三维混合轮廓序技术:图像质量和采集时间的评估。

Deep learning-based reconstruction and 3D hybrid profile order technique for MRCP at 3T: evaluation of image quality and acquisition time.

机构信息

Department of Diagnostic Radiology, Graduate School of Medical Sciences, Kumamoto University, Honjo 1-1-1, Kumamoto, 860-8556, Japan.

Department of Radiology, Kumamoto University Hospital, Kumamoto, Japan, Honjo 1-1-1, Kumamoto, Japan.

出版信息

Eur Radiol. 2023 Nov;33(11):7585-7594. doi: 10.1007/s00330-023-09703-z. Epub 2023 May 13.

DOI:10.1007/s00330-023-09703-z
PMID:37178197
Abstract

OBJECTIVES

To evaluate the image quality of the 3D hybrid profile order technique and deep-learning-based reconstruction (DLR) for 3D magnetic resonance cholangiopancreatography (MRCP) within a single breath-hold (BH) at 3 T magnetic resonance imaging (MRI).

METHODS

This retrospective study included 32 patients with biliary and pancreatic disorders. BH images were reconstructed with and without DLR. The signal-to-noise ratio (SNR), contrast, contrast-to-noise ratio (CNR) between the common bile duct (CBD) and periductal tissues, and full width at half maximum (FWHM) of CBD on 3D-MRCP were evaluated quantitatively. Two radiologists scored image noise, contrast, artifacts, blur, and overall image quality of the three image types using a 4-point scale. Quantitative and qualitative scores were compared using the Friedman test and post hoc Nemenyi test.

RESULTS

The SNR and CNR were not significantly different when under respiratory gating- and BH-MRCP without DLR. However, they were significantly higher under BH with DLR than under respiratory gating (SNR, p = 0.013; CNR, p = 0.027). The contrast and FWHM of MRCP under BH with and without DLR were lower than those under respiratory gating (contrast, p < 0.001; FWHM, p = 0.015). Qualitative scores for noise, blur, and overall image quality were higher under BH with DLR than those under respiratory gating (blur, p = 0.003; overall, p = 0.008).

CONCLUSIONS

The combination of the 3D hybrid profile order technique and DLR is useful for MRCP within a single BH and does not lead to the deterioration of image quality and space resolution at 3 T MRI.

CLINICAL RELEVANCE STATEMENT

Considering its advantages, this sequence might become the standard protocol for MRCP in clinical practice, at least at 3.0 T.

KEY POINTS

• The 3D hybrid profile order can achieve MRCP within a single breath-hold without a decrease in spatial resolution. • The DLR significantly improved the CNR and SNR of BH-MRCP. • The 3D hybrid profile order technique with DLR reduces the deterioration of image quality in MRCP within a single breath-hold.

摘要

目的

在 3T 磁共振成像(MRI)中,评估 3D 混合轮廓序技术和基于深度学习的重建(DLR)在单次屏气(BH)下用于 3D 磁共振胰胆管成像(MRCP)的图像质量。

方法

本回顾性研究纳入了 32 例胆道和胰腺疾病患者。分别用有无 DLR 重建 BH 图像。定量评估 3D-MRCP 中胆总管(CBD)的信噪比(SNR)、对比、CBD 与周围组织的对比噪声比(CNR)、CBD 的全宽半最大值(FWHM)。两名放射科医生使用 4 分制对三种图像类型的图像噪声、对比度、伪影、模糊和整体图像质量进行评分。采用 Friedman 检验和事后 Nemenyi 检验比较定量和定性评分。

结果

在呼吸门控和无 DLR 的 BH-MRCP 下,SNR 和 CNR 无显著差异。然而,在 BH 加 DLR 下,SNR 和 CNR 显著高于呼吸门控(SNR,p=0.013;CNR,p=0.027)。在 BH 加和不加 DLR 下,MRCP 的对比度和 FWHM 均低于呼吸门控(对比度,p<0.001;FWHM,p=0.015)。在 BH 加 DLR 下,噪声、模糊和整体图像质量的定性评分均高于呼吸门控(模糊,p=0.003;整体,p=0.008)。

结论

3D 混合轮廓序技术和 DLR 的结合可用于单次 BH 的 MRCP,且不会导致 3T MRI 图像质量和空间分辨率恶化。

临床相关性声明

考虑到其优势,该序列可能成为临床实践中 MRCP 的标准方案,至少在 3.0T 时是这样。

关键点

  1. 3D 混合轮廓序可以在不降低空间分辨率的情况下实现单次屏气的 MRCP。

  2. DLR 显著提高了 BH-MRCP 的 CNR 和 SNR。

  3. 3D 混合轮廓序技术加 DLR 可减少单次屏气 MRCP 中图像质量的恶化。

相似文献

1
Deep learning-based reconstruction and 3D hybrid profile order technique for MRCP at 3T: evaluation of image quality and acquisition time.基于深度学习的重建和 3T 时 MRCP 的三维混合轮廓序技术:图像质量和采集时间的评估。
Eur Radiol. 2023 Nov;33(11):7585-7594. doi: 10.1007/s00330-023-09703-z. Epub 2023 May 13.
2
Rapid 3D breath-hold MR cholangiopancreatography using deep learning-constrained compressed sensing reconstruction.基于深度学习约束压缩感知重建的快速 3D 屏气 MR 胰胆管成像。
Eur Radiol. 2023 Apr;33(4):2500-2509. doi: 10.1007/s00330-022-09227-y. Epub 2022 Nov 10.
3
Usefulness of 3D hybrid profile order technique with 3T magnetic resonance cholangiography: Comparison of image quality and acquisition time.3T磁共振胆胰管造影术的3D混合轮廓排序技术的效用:图像质量与采集时间的比较
J Magn Reson Imaging. 2016 Nov;44(5):1346-1353. doi: 10.1002/jmri.25289. Epub 2016 Apr 30.
4
Three-Dimensional Breath-Hold MRCP Using SPACE Pulse Sequence at 3 T: Comparison With Conventional Navigator-Triggered Technique.3T 下采用 SPACE 脉冲序列的三维屏气磁共振胰胆管成像:与常规导航触发技术的比较。
AJR Am J Roentgenol. 2019 Dec;213(6):1247-1252. doi: 10.2214/AJR.19.21399. Epub 2019 Aug 6.
5
Breath-hold 3D magnetic resonance cholangiopancreatography at 1.5 T using a deep learning-based noise-reduction approach: Comparison with the conventional respiratory-triggered technique.基于深度学习的降噪方法在 1.5T 磁共振上进行屏气 3D 胰胆管成像:与传统呼吸触发技术的比较。
Eur J Radiol. 2021 Nov;144:109994. doi: 10.1016/j.ejrad.2021.109994. Epub 2021 Oct 5.
6
Feasibility of 3D Breath-Hold MR Cholangiopancreatography with a Spatially Selective Radiofrequency Excitation Pulse: Prospective Comparison with Parallel Imaging Technique and Compressed Sensing Method.3D 屏气式磁共振胰胆管成像中采用空间选择性射频激发脉冲的可行性:与并行成像技术和压缩感知方法的前瞻性比较。
Acad Radiol. 2022 Dec;29(12):e289-e295. doi: 10.1016/j.acra.2022.03.006. Epub 2022 Mar 31.
7
Comparing compressed sensing breath-hold 3D MR cholangiopancreatography with two parallel imaging MRCP strategies in main pancreatic duct and common bile duct.比较压缩感知屏气 3D MR 胆胰管成像与两种主胰管和胆总管并行成像 MRCP 策略。
Eur J Radiol. 2021 Sep;142:109833. doi: 10.1016/j.ejrad.2021.109833. Epub 2021 Jun 24.
8
GRASE Revisited: breath-hold three-dimensional (3D) magnetic resonance cholangiopancreatography using a Gradient and Spin Echo (GRASE) technique at 3T.重新探讨梯度和自旋回波(GRASE)技术在 3T 下用于屏气三维(3D)磁共振胰胆管成像
Eur Radiol. 2018 Sep;28(9):3721-3728. doi: 10.1007/s00330-017-5275-0. Epub 2018 Feb 1.
9
Rapid 3D navigator-triggered MR cholangiopancreatography with SPACE sequence at 3T: only one-third acquisition time of conventional 3D SPACE navigator-triggered MRCP.3T 下快速 3D 导航触发磁共振胰胆管成像 SPACE 序列:常规 3D SPACE 导航触发 MRCP 的采集时间仅为其三分之一。
Abdom Radiol (NY). 2020 Jan;45(1):134-140. doi: 10.1007/s00261-019-02342-3.
10
Super-resolution deep learning reconstruction approach for enhanced visualization in lumbar spine MR bone imaging.用于增强腰椎 MR 骨成像中可视化的超分辨率深度学习重建方法。
Eur J Radiol. 2024 Sep;178:111587. doi: 10.1016/j.ejrad.2024.111587. Epub 2024 Jul 3.

引用本文的文献

1
Super-resolution deep learning reconstruction to evaluate lumbar spinal stenosis status on magnetic resonance myelography.超分辨率深度学习重建用于评估磁共振脊髓造影上的腰椎管狭窄状态。
Jpn J Radiol. 2025 Apr 23. doi: 10.1007/s11604-025-01787-5.
2
Accelerated Abdominal MRI: A Review of Current Methods and Applications.腹部快速磁共振成像:当前方法与应用综述
J Magn Reson Imaging. 2025 Sep;62(3):654-672. doi: 10.1002/jmri.29750. Epub 2025 Mar 18.
3
High-precision MRI of liver and hepatic lesions on gadoxetic acid-enhanced hepatobiliary phase using a deep learning technique.

本文引用的文献

1
Comparing compressed sensing breath-hold 3D MR cholangiopancreatography with two parallel imaging MRCP strategies in main pancreatic duct and common bile duct.比较压缩感知屏气 3D MR 胆胰管成像与两种主胰管和胆总管并行成像 MRCP 策略。
Eur J Radiol. 2021 Sep;142:109833. doi: 10.1016/j.ejrad.2021.109833. Epub 2021 Jun 24.
2
Novel deep learning-based noise reduction technique for prostate magnetic resonance imaging.基于新型深度学习的前列腺磁共振成像降噪技术。
Abdom Radiol (NY). 2021 Jul;46(7):3378-3386. doi: 10.1007/s00261-021-02964-6. Epub 2021 Feb 12.
3
Thin-Slice Pituitary MRI with Deep Learning-based Reconstruction: Diagnostic Performance in a Postoperative Setting.
使用深度学习技术对钆塞酸增强肝胆期肝脏及肝脏病变进行高精度磁共振成像。
Jpn J Radiol. 2025 Apr;43(4):649-655. doi: 10.1007/s11604-024-01693-2. Epub 2024 Nov 11.
4
Image quality in three-dimensional (3D) contrast-enhanced dynamic magnetic resonance imaging of the abdomen using deep learning denoising technique: intraindividual comparison between T1-weighted sequences with compressed sensing and with a modified Fast 3D mode wheel.使用深度学习去噪技术的腹部三维(3D)对比增强动态磁共振成像中的图像质量:具有压缩感知的T1加权序列与改良快速3D模式轮之间的个体内比较。
Jpn J Radiol. 2025 Mar;43(3):455-462. doi: 10.1007/s11604-024-01687-0. Epub 2024 Nov 6.
5
Comparison of image quality and lesion conspicuity between conventional and deep learning reconstruction in gadoxetic acid-enhanced liver MRI.钆塞酸二钠增强肝脏磁共振成像中传统重建与深度学习重建的图像质量及病变显示度比较
Insights Imaging. 2024 Oct 28;15(1):257. doi: 10.1186/s13244-024-01825-2.
6
Modified respiratory-triggered SPACE sequences for magnetic resonance cholangiopancreatography.用于磁共振胰胆管造影的改良呼吸触发SPACE序列
Eur J Radiol Open. 2024 Apr 20;12:100564. doi: 10.1016/j.ejro.2024.100564. eCollection 2024 Jun.
7
Super-resolution Deep Learning Reconstruction Cervical Spine 1.5T MRI: Improved Interobserver Agreement in Evaluations of Neuroforaminal Stenosis Compared to Conventional Deep Learning Reconstruction.基于超分辨率深度学习的颈椎 1.5T MRI 重建:与传统深度学习重建相比,在评估神经孔狭窄方面提高了观察者间的一致性。
J Imaging Inform Med. 2024 Oct;37(5):2466-2473. doi: 10.1007/s10278-024-01112-y. Epub 2024 Apr 26.
8
Deep learning reconstruction for high-resolution computed tomography images of the temporal bone: comparison with hybrid iterative reconstruction.深度学习重建颞骨高分辨率 CT 图像:与混合迭代重建的比较。
Neuroradiology. 2024 Jul;66(7):1105-1112. doi: 10.1007/s00234-024-03330-1. Epub 2024 Mar 22.
基于深度学习重建的垂体薄层 MRI:在术后环境中的诊断性能。
Radiology. 2021 Jan;298(1):114-122. doi: 10.1148/radiol.2020200723. Epub 2020 Nov 3.
4
A preliminary study of deep learning-based reconstruction specialized for denoising in high-frequency domain: usefulness in high-resolution three-dimensional magnetic resonance cisternography of the cerebellopontine angle.基于深度学习的针对高频域去噪的重建方法的初步研究:在高分辨率三维磁共振桥小脑角池成像中的应用。
Neuroradiology. 2021 Jan;63(1):63-71. doi: 10.1007/s00234-020-02513-w. Epub 2020 Aug 13.
5
Usefulness of breath-hold compressed sensing accelerated three-dimensional magnetic resonance cholangiopancreatography (MRCP) added to respiratory-gating conventional MRCP.屏息压缩感知三维磁共振胆胰管成像(MRCP)在呼吸门控常规 MRCP 基础上的应用价值。
Eur J Radiol. 2020 Jan;122:108765. doi: 10.1016/j.ejrad.2019.108765. Epub 2019 Nov 22.
6
Gradient- and spin-echo (GRASE) MR imaging: a long-existing technology that may find wide applications in modern era.梯度与自旋回波(GRASE)磁共振成像:一项长期存在的技术,可能在现代得到广泛应用。
Quant Imaging Med Surg. 2019 Sep;9(9):1477-1484. doi: 10.21037/qims.2019.09.13.
7
Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers.基于深度学习的脑磁共振成像降噪:在体模和健康志愿者上的测试。
Magn Reson Med Sci. 2020 Aug 3;19(3):195-206. doi: 10.2463/mrms.mp.2019-0018. Epub 2019 Sep 4.
8
Magnetic resonance cholangiopancreatography at 3 Tesla: Image quality comparison between 3D compressed sensing and 2D single-shot acquisitions.3T 磁共振胰胆管成像:3D 压缩感知与 2D 单次激发采集的图像质量比较。
Eur J Radiol. 2019 Jun;115:53-58. doi: 10.1016/j.ejrad.2019.04.002. Epub 2019 Apr 15.
9
Magnetic resonance cholangiopancreatography with GRASE sequence at 3.0T: does it improve image quality and acquisition time as compared with 3D TSE?3.0T 梯度回波重聚序列磁共振胰胆管成像:与 3D TSE 相比,其是否能提高图像质量和采集时间?
Eur Radiol. 2018 Jun;28(6):2436-2443. doi: 10.1007/s00330-017-5240-y. Epub 2018 Jan 15.
10
3D hybrid profile order technique in a single breath-hold 3D T2-weighted fast spin-echo sequence: Usefulness in diagnosis of small liver lesions.三维混合轮廓采集技术在单次屏气三维 T2 加权快速自旋回波序列中的应用:对小肝病变诊断的有用性。
Eur J Radiol. 2018 Jan;98:113-117. doi: 10.1016/j.ejrad.2017.11.009. Epub 2017 Nov 20.