• 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

利用三维磁共振指纹成像技术测量人脑形态的可重复性和可再现性。

Repeatability and reproducibility of human brain morphometry using three-dimensional magnetic resonance fingerprinting.

机构信息

Department of Radiology, Juntendo University, Tokyo, Japan.

Department of Radiology, The University of Tokyo, Tokyo, Japan.

出版信息

Hum Brain Mapp. 2021 Feb 1;42(2):275-285. doi: 10.1002/hbm.25232. Epub 2020 Oct 22.

DOI:10.1002/hbm.25232
PMID:33089962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7775993/
Abstract

Three-dimensional (3D) Magnetic resonance fingerprinting (MRF) permits whole-brain volumetric quantification of T1 and T2 relaxation values, potentially replacing conventional T1-weighted structural imaging for common brain imaging analysis. The aim of this study was to evaluate the repeatability and reproducibility of 3D MRF in evaluating brain cortical thickness and subcortical volumetric analysis in healthy volunteers using conventional 3D T1-weighted images as a reference standard. Scan-rescan tests of both 3D MRF and conventional 3D fast spoiled gradient recalled echo (FSPGR) were performed. For each sequence, the regional cortical thickness and volume of the subcortical structures were measured using standard automatic brain segmentation software. Repeatability and reproducibility were assessed using the within-subject coefficient of variation (wCV), intraclass correlation coefficient (ICC), and mean percent difference and ICC, respectively. The wCV and ICC of cortical thickness were similar across all regions with both 3D MRF and FSPGR. The percent relative difference in cortical thickness between 3D MRF and FSPGR across all regions was 8.0 ± 3.2%. The wCV and ICC of the volume of subcortical structures across all structures were similar between 3D MRF and FSPGR. The percent relative difference in the volume of subcortical structures between 3D MRF and FSPGR across all structures was 7.1 ± 3.6%. 3D MRF measurements of human brain cortical thickness and subcortical volumes are highly repeatable, and consistent with measurements taken on conventional 3D T1-weighted images. A slight, consistent bias was evident between the two, and thus careful attention is required when combining data from MRF and conventional acquisitions.

摘要

三维(3D)磁共振指纹(MRF)可实现 T1 和 T2 弛豫值的全脑容积定量,可能替代常规 T1 加权结构成像用于常见的脑成像分析。本研究旨在评估 3D MRF 在使用常规 3D T1 加权图像作为参考标准评估健康志愿者脑皮质厚度和皮质下容积分析的重复性和可再现性。对 3D MRF 和常规 3D 快速扰相梯度回波(FSPGR)进行了扫描-再扫描测试。对于每个序列,使用标准的自动脑分割软件测量皮质区域的皮质厚度和皮质下结构的体积。使用个体内变异系数(wCV)、组内相关系数(ICC)和平均百分比差异和 ICC 分别评估重复性和可再现性。3D MRF 和 FSPGR 的所有区域的皮质厚度的 wCV 和 ICC 相似。3D MRF 和 FSPGR 之间所有区域的皮质厚度的相对百分比差异为 8.0±3.2%。3D MRF 和 FSPGR 的皮质下结构体积的 wCV 和 ICC 相似。3D MRF 和 FSPGR 之间所有结构的皮质下结构体积的相对百分比差异为 7.1±3.6%。3D MRF 测量的人脑皮质厚度和皮质下体积具有高度的可重复性,与常规 3D T1 加权图像上的测量结果一致。两种方法之间存在明显的、一致的偏差,因此在结合 MRF 和常规采集的数据时需要小心。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/dcc44e030d1a/HBM-42-275-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/6f1ae4cbc2ae/HBM-42-275-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/9dc5504b80e9/HBM-42-275-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/3e8bfb8e2c5c/HBM-42-275-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/ee9c503f805a/HBM-42-275-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/2949fa9d2ffd/HBM-42-275-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/be6d227572e5/HBM-42-275-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/dcc44e030d1a/HBM-42-275-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/6f1ae4cbc2ae/HBM-42-275-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/9dc5504b80e9/HBM-42-275-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/3e8bfb8e2c5c/HBM-42-275-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/ee9c503f805a/HBM-42-275-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/2949fa9d2ffd/HBM-42-275-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/be6d227572e5/HBM-42-275-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ff3/7775993/dcc44e030d1a/HBM-42-275-g007.jpg

相似文献

1
Repeatability and reproducibility of human brain morphometry using three-dimensional magnetic resonance fingerprinting.利用三维磁共振指纹成像技术测量人脑形态的可重复性和可再现性。
Hum Brain Mapp. 2021 Feb 1;42(2):275-285. doi: 10.1002/hbm.25232. Epub 2020 Oct 22.
2
3D quantitative synthetic MRI-derived cortical thickness and subcortical brain volumes: Scan-rescan repeatability and comparison with conventional T -weighted images.3D 定量磁共振成像衍生的皮质厚度和皮质下脑体积:扫描-重扫可重复性与常规 T1 加权图像的比较。
J Magn Reson Imaging. 2019 Dec;50(6):1834-1842. doi: 10.1002/jmri.26744. Epub 2019 Apr 10.
3
Accuracy, repeatability, and reproducibility of T and T relaxation times measurement by 3D magnetic resonance fingerprinting with different dictionary resolutions.三维磁共振指纹成像不同字典分辨率测量 T1 和 T2 弛豫时间的准确性、可重复性和可再现性。
Eur Radiol. 2023 Apr;33(4):2895-2904. doi: 10.1007/s00330-022-09244-x. Epub 2022 Nov 24.
4
Initial assessment of 3D magnetic resonance fingerprinting (MRF) towards quantitative brain imaging for radiation therapy.3D 磁共振指纹成像(MRF)在放射治疗定量脑成像中的初步评估。
Med Phys. 2020 Mar;47(3):1199-1214. doi: 10.1002/mp.13967. Epub 2019 Dec 30.
5
Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue.正常乳腺组织中 3D MR 指纹成像弛豫测量的可重复性和可再现性。
J Magn Reson Imaging. 2019 Oct;50(4):1133-1143. doi: 10.1002/jmri.26717. Epub 2019 Mar 20.
6
Quantitative imaging metrics derived from magnetic resonance fingerprinting using ISMRM/NIST MRI system phantom: An international multicenter repeatability and reproducibility study.使用ISMRM/NIST MRI系统体模从磁共振指纹成像得出的定量成像指标:一项国际多中心重复性和再现性研究。
Med Phys. 2021 May;48(5):2438-2447. doi: 10.1002/mp.14833. Epub 2021 Apr 1.
7
Physics-Informed Discretization for Reproducible and Robust Radiomic Feature Extraction Using Quantitative MRI.基于物理信息的离散化方法,用于使用定量 MRI 进行可重复且稳健的放射组学特征提取。
Invest Radiol. 2024 May 1;59(5):359-371. doi: 10.1097/RLI.0000000000001026. Epub 2023 Oct 9.
8
Radiomics with 3-dimensional magnetic resonance fingerprinting: influence of dictionary design on repeatability and reproducibility of radiomic features.基于三维磁共振指纹成像的放射组学:字典设计对放射组学特征可重复性和再现性的影响。
Eur Radiol. 2022 Jul;32(7):4791-4800. doi: 10.1007/s00330-022-08555-3. Epub 2022 Mar 18.
9
Simultaneous relaxometry and morphometry of human brain structures with 3D magnetic resonance fingerprinting: a multicenter, multiplatform, multifield-strength study.利用三维磁共振指纹技术对人脑结构进行同步弛豫测量和形态测量:一项多中心、多平台、多场强研究。
Cereb Cortex. 2023 Jan 5;33(3):729-739. doi: 10.1093/cercor/bhac096.
10
Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T.三维 MRF 在 1.5T 和 3T 下可在健康人脑内获得高度可重复和可重现的多参数估计。
Neuroimage. 2021 Feb 1;226:117573. doi: 10.1016/j.neuroimage.2020.117573. Epub 2020 Nov 19.

引用本文的文献

1
Automated Whole-Brain Focal Cortical Dysplasia Detection Using MR Fingerprinting With Deep Learning.使用深度学习的磁共振指纹技术进行全脑局灶性皮质发育异常的自动检测
Neurology. 2025 Jun 10;104(11):e213691. doi: 10.1212/WNL.0000000000213691. Epub 2025 May 16.
2
The causal relationship between human brain morphometry and knee osteoarthritis: a two-sample Mendelian randomization study.人类脑形态测量与膝关节骨关节炎之间的因果关系:一项两样本孟德尔随机化研究。
Front Genet. 2024 Jul 8;15:1420134. doi: 10.3389/fgene.2024.1420134. eCollection 2024.
3
Deep Learning-based Hierarchical Brain Segmentation with Preliminary Analysis of the Repeatability and Reproducibility.

本文引用的文献

1
Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging.快速三维多参数 MRI 与定量瞬态成像。
Sci Rep. 2020 Aug 13;10(1):13769. doi: 10.1038/s41598-020-70789-2.
2
White Matter Abnormalities in Multiple Sclerosis Evaluated by Quantitative Synthetic MRI, Diffusion Tensor Imaging, and Neurite Orientation Dispersion and Density Imaging.基于定量合成 MRI、弥散张量成像和神经丝取向弥散和密度成像评估多发性硬化的脑白质异常。
AJNR Am J Neuroradiol. 2019 Oct;40(10):1642-1648. doi: 10.3174/ajnr.A6209. Epub 2019 Sep 12.
3
MR Fingerprinting and ADC Mapping for Characterization of Lesions in the Transition Zone of the Prostate Gland.
基于深度学习的分层脑部分割以及重复性和再现性的初步分析
Magn Reson Med Sci. 2024 Jul 2. doi: 10.2463/mrms.mp.2023-0124.
4
Quantifying 3D MR fingerprinting (3D-MRF) reproducibility across subjects, sessions, and scanners automatically using MNI atlases.使用 MNI 图谱自动量化跨受试者、扫描时段和扫描仪的 3D-MRF 可重复性。
Magn Reson Med. 2024 May;91(5):2074-2088. doi: 10.1002/mrm.29983. Epub 2024 Jan 9.
5
Accuracy, repeatability, and reproducibility of T and T relaxation times measurement by 3D magnetic resonance fingerprinting with different dictionary resolutions.三维磁共振指纹成像不同字典分辨率测量 T1 和 T2 弛豫时间的准确性、可重复性和可再现性。
Eur Radiol. 2023 Apr;33(4):2895-2904. doi: 10.1007/s00330-022-09244-x. Epub 2022 Nov 24.
6
Normative quantitative relaxation atlases for characterization of cortical regions using magnetic resonance fingerprinting.基于磁共振指纹成像的皮质区特征描述的规范化定量弛豫图谱。
Cereb Cortex. 2023 Mar 21;33(7):3562-3574. doi: 10.1093/cercor/bhac292.
7
Simultaneous relaxometry and morphometry of human brain structures with 3D magnetic resonance fingerprinting: a multicenter, multiplatform, multifield-strength study.利用三维磁共振指纹技术对人脑结构进行同步弛豫测量和形态测量:一项多中心、多平台、多场强研究。
Cereb Cortex. 2023 Jan 5;33(3):729-739. doi: 10.1093/cercor/bhac096.
8
Optimized multi-axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole-brain high-isotropic-resolution quantitative imaging.基于子空间重建的优化多轴螺旋投影磁共振指纹识别技术用于快速全脑高各向同性分辨率定量成像
Magn Reson Med. 2022 Jul;88(1):133-150. doi: 10.1002/mrm.29194. Epub 2022 Feb 24.
9
Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization.基于物理启发式优化的磁共振指纹编码脉冲序列自动设计。
Proc Natl Acad Sci U S A. 2021 Oct 5;118(40). doi: 10.1073/pnas.2020516118. Epub 2021 Sep 30.
10
MR Imaging in the 21st Century: Technical Innovation over the First Two Decades.21 世纪的磁共振成像:头二十年的技术创新。
Magn Reson Med Sci. 2022 Mar 1;21(1):71-82. doi: 10.2463/mrms.rev.2021-0011. Epub 2021 Apr 16.
磁共振指纹技术及 ADC 图在前列腺移行区病灶中的应用。
Radiology. 2019 Sep;292(3):685-694. doi: 10.1148/radiol.2019181705. Epub 2019 Jul 23.
4
Detection of IV-gadolinium Leakage from the Cortical Veins into the CSF Using MR Fingerprinting.利用磁共振指纹技术检测脑皮质静脉-IV 型钆渗漏入脑脊液。
Magn Reson Med Sci. 2020 May 1;19(2):141-146. doi: 10.2463/mrms.mp.2019-0048. Epub 2019 Jun 20.
5
Comprehensive Evaluation of B-corrected FISP-based Magnetic Resonance Fingerprinting: Accuracy, Repeatability and Reproducibility of T and T Relaxation Times for ISMRM/NIST System Phantom and Volunteers.基于 B 校正 FISP 的磁共振指纹成像的综合评估:ISMRM/NIST 系统体模和志愿者的 T 和 T2 弛豫时间的准确性、可重复性和再现性。
Magn Reson Med Sci. 2020 Aug 3;19(3):168-175. doi: 10.2463/mrms.mp.2019-0016. Epub 2019 Jun 20.
6
Reproducibility and Repeatability of MR Fingerprinting Relaxometry in the Human Brain.磁共振指纹成像在人脑的可重复性和再现性研究。
Radiology. 2019 Aug;292(2):429-437. doi: 10.1148/radiol.2019182360. Epub 2019 Jun 18.
7
Targeted Biopsy Validation of Peripheral Zone Prostate Cancer Characterization With Magnetic Resonance Fingerprinting and Diffusion Mapping.磁共振指纹成像和弥散图谱对前列腺外周带癌特征的靶向活检验证。
Invest Radiol. 2019 Aug;54(8):485-493. doi: 10.1097/RLI.0000000000000569.
8
3D quantitative synthetic MRI-derived cortical thickness and subcortical brain volumes: Scan-rescan repeatability and comparison with conventional T -weighted images.3D 定量磁共振成像衍生的皮质厚度和皮质下脑体积:扫描-重扫可重复性与常规 T1 加权图像的比较。
J Magn Reson Imaging. 2019 Dec;50(6):1834-1842. doi: 10.1002/jmri.26744. Epub 2019 Apr 10.
9
Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T.1.5T 和 3.0T 健康人脑磁共振指纹成像的多部位重复性和可再现性。
Neuroimage. 2019 Jul 15;195:362-372. doi: 10.1016/j.neuroimage.2019.03.047. Epub 2019 Mar 25.
10
Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue.正常乳腺组织中 3D MR 指纹成像弛豫测量的可重复性和可再现性。
J Magn Reson Imaging. 2019 Oct;50(4):1133-1143. doi: 10.1002/jmri.26717. Epub 2019 Mar 20.