• 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

深度学习增强的加速二维快速自旋回波成像和三维超分辨率狄克逊快速自旋回波成像用于膝关节快速综合评估

Deep Learning-Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment.

作者信息

Smekens Céline, Beirinckx Quinten, Bosmans Frederik, Vanhevel Floris, Snoeckx Annemiek, Sijbers Jan, Jeurissen Ben, Janssens Thomas, Van Dyck Pieter

机构信息

From the imec-Vision Lab, Department of Physics, University of Antwerp, Antwerp, Belgium (C.S., Q.B., J.S., B.J.); Siemens Healthcare NV/SA, Groot-Bijgaarden, Belgium (C.S., T.J.); Department of Radiology, Antwerp University Hospital, Antwerp, Belgium (F.B., F.V., A.S., P.V.D.); and MIRA, Faculty of Medicine and Health Sciences, University of Antwerp, Antwerp, Belgium (A.S., P.V.D.).

出版信息

Invest Radiol. 2025 Mar 1;60(3):220-233. doi: 10.1097/RLI.0000000000001118. Epub 2024 Aug 28.

DOI:10.1097/RLI.0000000000001118
PMID:39190787
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11801463/
Abstract

OBJECTIVES

The aim of this study was to evaluate the use of a multicontrast deep learning (DL)-reconstructed 4-fold accelerated 2-dimensional (2D) turbo spin echo (TSE) protocol and the feasibility of 3-dimensional (3D) superresolution reconstruction (SRR) of DL-enhanced 6-fold accelerated 2D Dixon TSE magnetic resonance imaging (MRI) for comprehensive knee joint assessment, by comparing image quality and diagnostic performance with a conventional 2-fold accelerated 2D TSE knee MRI protocol.

MATERIALS AND METHODS

This prospective, ethics-approved study included 19 symptomatic adult subjects who underwent knee MRI on a clinical 3 T scanner. Every subject was scanned with 3 DL-enhanced acquisition protocols in a single session: a clinical standard 2-fold in-plane parallel imaging (PI) accelerated 2D TSE-based protocol (5 sequences, 11 minutes 23 seconds) that served as a reference, a DL-reconstructed 4-fold accelerated 2D TSE protocol combining 2-fold PI and 2-fold simultaneous multislice acceleration (5 sequences, 6 minutes 24 seconds), and a 3D SRR protocol based on DL-enhanced 6-fold accelerated (ie, 3-fold PI and 2-fold simultaneous multislice) 2D Dixon TSE MRI (6 anisotropic 2D Dixon TSE acquisitions rotated around the phase-encoding axis, 6 minutes 24 seconds). This resulted in a total of 228 knee MRI scans comprising 21,204 images. Three readers evaluated all pseudonymized and randomized images in terms of image quality using a 5-point Likert scale. Two of the readers (musculoskeletal radiologists) additionally evaluated anatomical visibility and diagnostic confidence to assess normal and pathological knee structures with a 5-point Likert scale. They recorded the presence and location of internal knee derangements, including cartilage defects, meniscal tears, tears of ligaments, tendons and muscles, and bone injuries. The statistical analysis included nonparametric Friedman tests, and interreader and intrareader agreement assessment using the weighted Fleiss-Cohen kappa (κ) statistic. P values of less than 0.05 were considered statistically significant.

RESULTS

The evaluated DL-enhanced 4-fold accelerated 2D TSE protocol provided very similar image quality and anatomical visibility to the standard 2D TSE protocol, whereas the 3D SRR Dixon TSE protocol scored less in terms of overall image quality due to reduced edge sharpness and the presence of artifacts ( P < 0.001). Subjective signal-to-noise ratio, contrast resolution, fluid brightness, and fat suppression were good to excellent for all protocols. For 1 reader, the Dixon method of the 3D SRR protocol provided significantly better fat suppression than the spectral fat saturation applied in the standard 2D TSE protocol ( P < 0.05). The visualization of knee structures with 3D SRR Dixon TSE was very similar to the standard protocol, except for cartilage, tendons, and bone, which were affected by the presence of reconstruction and aliasing artifacts ( P < 0.001). The diagnostic confidence of both readers was high for all protocols and all knee structures, except for cartilage and tendons. The standard 2D TSE protocol showed a significantly higher diagnostic confidence for assessing tendons than 3D SRR Dixon TSE MRI ( P < 0.01). The interreader and intrareader agreement for the assessment of internal knee derangements using any of the 3 protocols was substantial to almost perfect (κ = 0.67-1.00). For cartilage, the interreader agreement was substantial for DL-enhanced accelerated 2D TSE (κ = 0.79) and almost perfect for standard 2D TSE (κ = 0.98) and 3D SRR Dixon TSE (κ = 0.87). For menisci, the interreader agreement was substantial for 3D SRR Dixon TSE (κ = 0.70-0.80) and substantial to almost perfect for standard 2D TSE (κ = 0.80-0.99) and DL-enhanced 2D TSE (κ = 0.87-1.00). Moreover, the total acquisition time was reduced by 44% when using the DL-enhanced accelerated 2D TSE or 3D SRR Dixon TSE protocol instead of the conventional 2D TSE protocol.

CONCLUSIONS

The presented DL-enhanced 4-fold accelerated 2D TSE protocol provides image quality and diagnostic performance similar to the standard 2D protocol. Moreover, the 3D SRR of DL-enhanced 6-fold accelerated 2D Dixon TSE MRI is feasible for multicontrast 3D knee MRI as its diagnostic performance is comparable to standard 2-fold accelerated 2D knee MRI. However, reconstruction and aliasing artifacts need to be further addressed to guarantee a more reliable visualization and assessment of cartilage, tendons, and bone. Both the 2D and 3D SRR DL-enhanced protocols enable a 44% faster examination compared with conventional 2-fold accelerated routine 2D TSE knee MRI and thus open new paths for more efficient clinical 2D and 3D knee MRI.

摘要

目的

本研究旨在通过将多对比度深度学习(DL)重建的4倍加速二维(2D)快速自旋回波(TSE)协议以及DL增强的6倍加速二维狄克逊TSE磁共振成像(MRI)的三维(3D)超分辨率重建(SRR)的可行性与传统的2倍加速二维TSE膝关节MRI协议进行图像质量和诊断性能比较,以用于膝关节综合评估。

材料与方法

这项前瞻性、经伦理批准的研究纳入了19名有症状的成年受试者,他们在临床3T扫描仪上接受了膝关节MRI检查。每位受试者在一次检查中使用3种DL增强采集协议进行扫描:一种临床标准的2倍平面并行成像(PI)加速基于2D TSE的协议(5个序列,11分23秒)作为参考,一种结合2倍PI和2倍同时多层加速的DL重建4倍加速2D TSE协议(5个序列,6分24秒),以及一种基于DL增强6倍加速(即3倍PI和2倍同时多层)二维狄克逊TSE MRI的3D SRR协议(6个各向异性二维狄克逊TSE采集围绕相位编码轴旋转,6分24秒)。这总共产生了228次膝关节MRI扫描,包括21204幅图像。三位阅片者使用5分李克特量表对所有匿名和随机化的图像进行图像质量评估。其中两位阅片者(肌肉骨骼放射科医生)还使用5分李克特量表评估解剖结构的可视性和诊断信心,以评估正常和病理性膝关节结构。他们记录了膝关节内部紊乱的存在和位置,包括软骨缺损、半月板撕裂、韧带、肌腱和肌肉撕裂以及骨损伤。统计分析包括非参数弗里德曼检验,以及使用加权弗莱iss - 科恩kappa(κ)统计量进行阅片者间和阅片者内一致性评估。P值小于0.05被认为具有统计学意义。

结果

评估的DL增强4倍加速2D TSE协议提供了与标准2D TSE协议非常相似的图像质量和解剖结构可视性,而3D SRR狄克逊TSE协议由于边缘清晰度降低和伪影的存在,在整体图像质量方面得分较低(P < 0.001)。所有协议的主观信噪比、对比分辨率、液体亮度和脂肪抑制均为良好至优秀。对于一位阅片者,3D SRR协议的狄克逊方法提供的脂肪抑制明显优于标准2D TSE协议中应用的频谱脂肪饱和(P < 0.05)。3D SRR狄克逊TSE对膝关节结构的可视化与标准协议非常相似,除了软骨、肌腱和骨骼,它们受到重建和混叠伪影的影响(P < 0.001)。两位阅片者对所有协议和所有膝关节结构的诊断信心都很高,除了软骨和肌腱。标准2D TSE协议在评估肌腱方面的诊断信心明显高于3D SRR狄克逊TSE MRI(P < 0.01)。使用这3种协议中的任何一种评估膝关节内部紊乱时,阅片者间和阅片者内的一致性为实质性至几乎完美(κ = 0.67 - 1.00)。对于软骨,DL增强加速2D TSE的阅片者间一致性为实质性(κ = 0.79),标准2D TSE(κ = 0.98)和3D SRR狄克逊TSE(κ = 0.87)为几乎完美。对于半月板,3D SRR狄克逊TSE的阅片者间一致性为实质性(κ = 0.70 - 0.80),标准2D TSE(κ = 0.80 - 0.99)和DL增强2D TSE(κ = 0.87 - 1.00)为实质性至几乎完美。此外,与传统2D TSE协议相比,使用DL增强加速2D TSE或3D SRR狄克逊TSE协议时,总采集时间减少了44%。

结论

所呈现的DL增强4倍加速2D TSE协议提供了与标准2D协议相似的图像质量和诊断性能。此外,DL增强6倍加速二维狄克逊TSE MRI的3D SRR对于多对比度3D膝关节MRI是可行的,因为其诊断性能与标准2倍加速二维膝关节MRI相当。然而,需要进一步解决重建和混叠伪影问题,以确保对软骨、肌腱和骨骼进行更可靠的可视化和评估。与传统的2倍加速常规二维TSE膝关节MRI相比,二维和3D SRR DL增强协议都能使检查速度加快44%,从而为更高效的临床二维和3D膝关节MRI开辟了新途径。

相似文献

1
Deep Learning-Enhanced Accelerated 2D TSE and 3D Superresolution Dixon TSE for Rapid Comprehensive Knee Joint Assessment.深度学习增强的加速二维快速自旋回波成像和三维超分辨率狄克逊快速自旋回波成像用于膝关节快速综合评估
Invest Radiol. 2025 Mar 1;60(3):220-233. doi: 10.1097/RLI.0000000000001118. Epub 2024 Aug 28.
2
Super-Resolution Magnetic Resonance Imaging of the Knee Using 2-Dimensional Turbo Spin Echo Imaging.使用二维涡轮自旋回波成像的膝关节超分辨率磁共振成像。
Invest Radiol. 2020 Aug;55(8):481-493. doi: 10.1097/RLI.0000000000000676.
3
Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol.基于深度学习图像重建的加速 2D 多对比度膝关节 MRI 方案的可行性:与标准 MRI 方案的前瞻性个体内比较。
Eur Radiol. 2022 Sep;32(9):6215-6229. doi: 10.1007/s00330-022-08753-z. Epub 2022 Apr 7.
4
Three-Dimensional CAIPIRINHA SPACE TSE for 5-Minute High-Resolution MRI of the Knee.用于膝关节5分钟高分辨率MRI的三维CAIPIRINHA空间快速自旋回波序列
Invest Radiol. 2016 Oct;51(10):609-17. doi: 10.1097/RLI.0000000000000287.
5
Six-Fold Acceleration of High-Spatial Resolution 3D SPACE MRI of the Knee Through Incoherent k-Space Undersampling and Iterative Reconstruction-First Experience.通过非相干k空间欠采样和迭代重建实现膝关节高空间分辨率3D SPACE MRI六倍加速——首次经验
Invest Radiol. 2016 Jun;51(6):400-9. doi: 10.1097/RLI.0000000000000240.
6
Simultaneous Multislice Accelerated Turbo Spin Echo Magnetic Resonance Imaging: Comparison and Combination With In-Plane Parallel Imaging Acceleration for High-Resolution Magnetic Resonance Imaging of the Knee.同步多层面加速快速自旋回波磁共振成像:与平面内并行成像加速技术在膝关节高分辨率磁共振成像中的比较与联合应用
Invest Radiol. 2017 Sep;52(9):529-537. doi: 10.1097/RLI.0000000000000376.
7
Accelerated High-Resolution Deep Learning Reconstruction Turbo Spin Echo MRI of the Knee at 7 T.7T 膝关节加速高分辨率深度学习重建 Turbo 自旋回波 MRI。
Invest Radiol. 2024 Dec 1;59(12):831-837. doi: 10.1097/RLI.0000000000001095. Epub 2024 Jul 4.
8
Deep Learning Reconstruction of Prospectively Accelerated MRI of the Pancreas: Clinical Evaluation of Shortened Breath-Hold Examinations With Dixon Fat Suppression.胰腺前瞻性加速磁共振成像的深度学习重建:采用狄克逊脂肪抑制技术的缩短屏气检查的临床评估
Invest Radiol. 2025 Feb 1;60(2):123-130. doi: 10.1097/RLI.0000000000001110. Epub 2024 Jul 23.
9
3D CAIPIRINHA SPACE versus standard 2D TSE for routine knee MRI: a large-scale interchangeability study.3D CAIPIRINHA SPACE 与标准 2D TSE 用于常规膝关节 MRI:一项大规模的可互换性研究。
Eur Radiol. 2022 Sep;32(9):6456-6467. doi: 10.1007/s00330-022-08715-5. Epub 2022 Mar 30.
10
Fully Automated 10-Minute 3D CAIPIRINHA SPACE TSE MRI of the Knee in Adults: A Multicenter, Multireader, Multifield-Strength Validation Study.成人膝关节全自动 10 分钟 3D CAIPIRINHA SPACE TSE MRI:一项多中心、多读者、多场强验证研究。
Invest Radiol. 2018 Nov;53(11):689-697. doi: 10.1097/RLI.0000000000000493.

引用本文的文献

1
Evaluation of deep learning reconstruction in accelerated knee MRI: comparison of visual and diagnostic performance metrics.加速膝关节磁共振成像中深度学习重建的评估:视觉与诊断性能指标的比较
Radiologie (Heidelb). 2025 Jun 23. doi: 10.1007/s00117-025-01464-8.

本文引用的文献

1
Reconstruction of 3D knee MRI using deep learning and compressed sensing: a validation study on healthy volunteers.利用深度学习和压缩感知重建三维膝关节磁共振成像:一项针对健康志愿者的验证研究
Eur Radiol Exp. 2024 Apr 15;8(1):47. doi: 10.1186/s41747-024-00446-0.
2
ESR essentials: MRI of the knee-practice recommendations by ESSR.ESR 精华:膝关节 MRI——ESR 实践推荐。
Eur Radiol. 2024 Oct;34(10):6590-6599. doi: 10.1007/s00330-024-10706-7. Epub 2024 Mar 27.
3
Five-minute knee MRI: An AI-based super resolution reconstruction approach for compressed sensing. A validation study on healthy volunteers.
五分钟膝关节 MRI:基于 AI 的压缩感知超分辨率重建方法。一项针对健康志愿者的验证研究。
Eur J Radiol. 2024 Jun;175:111418. doi: 10.1016/j.ejrad.2024.111418. Epub 2024 Mar 9.
4
Highly accelerated knee magnetic resonance imaging using deep neural network (DNN)-based reconstruction: prospective, multi-reader, multi-vendor study.基于深度神经网络(DNN)重建的高速膝关节磁共振成像:前瞻性、多读者、多供应商研究。
Sci Rep. 2023 Oct 12;13(1):17264. doi: 10.1038/s41598-023-44248-7.
5
Deep Learning Reconstruction Enables Prospectively Accelerated Clinical Knee MRI.深度学习重建可实现前瞻性加速临床膝关节 MRI。
Radiology. 2023 Apr;307(2):e220425. doi: 10.1148/radiol.220425. Epub 2023 Jan 17.
6
To shift or to rotate? Comparison of acquisition strategies for multi-slice super-resolution magnetic resonance imaging.平移还是旋转?多层超分辨率磁共振成像采集策略的比较。
Front Neurosci. 2022 Nov 11;16:1044510. doi: 10.3389/fnins.2022.1044510. eCollection 2022.
7
Artificial Intelligence-Driven Ultra-Fast Superresolution MRI: 10-Fold Accelerated Musculoskeletal Turbo Spin Echo MRI Within Reach.人工智能驱动的超快速超分辨率磁共振成像:10倍加速的肌肉骨骼快速自旋回波磁共振成像指日可待。
Invest Radiol. 2023 Jan 1;58(1):28-42. doi: 10.1097/RLI.0000000000000928. Epub 2022 Nov 2.
8
Model-based super-resolution reconstruction with joint motion estimation for improved quantitative MRI parameter mapping.基于模型的运动估计联合超分辨率重建技术用于改善定量 MRI 参数图的质量。
Comput Med Imaging Graph. 2022 Sep;100:102071. doi: 10.1016/j.compmedimag.2022.102071. Epub 2022 May 10.
9
Deep Learning-Enhanced Parallel Imaging and Simultaneous Multislice Acceleration Reconstruction in Knee MRI.深度学习增强的膝关节 MRI 并行成像和同时多层加速重建。
Invest Radiol. 2022 Dec 1;57(12):826-833. doi: 10.1097/RLI.0000000000000900. Epub 2022 Jul 1.
10
Feasibility of an accelerated 2D-multi-contrast knee MRI protocol using deep-learning image reconstruction: a prospective intraindividual comparison with a standard MRI protocol.基于深度学习图像重建的加速 2D 多对比度膝关节 MRI 方案的可行性:与标准 MRI 方案的前瞻性个体内比较。
Eur Radiol. 2022 Sep;32(9):6215-6229. doi: 10.1007/s00330-022-08753-z. Epub 2022 Apr 7.