• 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

使用 AATH 模型进行准确的 DCE-MRI 数据分析的时间分辨率和 SNR 要求。

Temporal resolution and SNR requirements for accurate DCE-MRI data analysis using the AATH model.

机构信息

The Research Institute and Diagnostic Imaging, The Hospital for Sick Children, Toronto, Canada.

出版信息

Magn Reson Med. 2010 Dec;64(6):1772-80. doi: 10.1002/mrm.22573. Epub 2010 Aug 16.

DOI:10.1002/mrm.22573
PMID:20715059
Abstract

Dynamic contrast-enhanced MRI has been used in conjunction with tracer kinetics modeling in a wide range of tissues for treatment monitoring, oncology drug development, and investigation of disease processes. Accurate measurement of model parameters relies on acquiring data with high temporal resolution and low noise, particularly for models with large numbers of free parameters, such as the adiabatic approximation to the tissue homogeneity model for separate measurements of blood flow and vessel permeability. In this simulation study, accuracy of the adiabatic approximation to the tissue homogeneity model was investigated, examining the effects of temporal resolution, noise levels, and error in the measured arterial input function. A temporal resolution of 1.5 s and high SNR (noise sd = 0.05) were found to ensure minimal bias (<5%) in all four model parameters (extraction fraction, blood flow, mean transit time, and extravascular extracellular volume), and the sampling interval can be relaxed to 6 s, if the transit time need not be measured accurately (bias becomes >10%). A 10% error in the measured height of the arterial input function first pass peak resulted in an error of at most 10% in each model parameter.

摘要

动态对比增强 MRI 已与示踪剂动力学模型结合,广泛应用于治疗监测、肿瘤药物开发和疾病过程研究等领域。模型参数的准确测量依赖于具有高时间分辨率和低噪声的数据采集,特别是对于具有大量自由参数的模型,例如用于分别测量血流和血管通透性的组织均匀性模型的绝热近似。在这项模拟研究中,我们研究了组织均匀性模型的绝热近似的准确性,考察了时间分辨率、噪声水平和测量的动脉输入函数误差的影响。结果发现,时间分辨率为 1.5 秒和高 SNR(噪声 sd = 0.05)可确保所有四个模型参数(提取分数、血流、平均通过时间和细胞外间隙体积)的偏差最小(<5%),如果不需要准确测量通过时间(偏差超过 10%),采样间隔可以放宽到 6 秒。测量的动脉输入函数首过峰值高度的 10%误差导致每个模型参数的误差最大不超过 10%。

相似文献

1
Temporal resolution and SNR requirements for accurate DCE-MRI data analysis using the AATH model.使用 AATH 模型进行准确的 DCE-MRI 数据分析的时间分辨率和 SNR 要求。
Magn Reson Med. 2010 Dec;64(6):1772-80. doi: 10.1002/mrm.22573. Epub 2010 Aug 16.
2
Modeling of contrast agent kinetics in the lung using T1-weighted dynamic contrast-enhanced MRI.使用T1加权动态对比增强磁共振成像对肺部造影剂动力学进行建模。
Magn Reson Med. 2009 Jun;61(6):1507-14. doi: 10.1002/mrm.21814.
3
Investigation and optimization of parameter accuracy in dynamic contrast-enhanced MRI.动态对比增强磁共振成像中参数准确性的研究与优化
J Magn Reson Imaging. 2008 Sep;28(3):736-43. doi: 10.1002/jmri.21489.
4
Comparison of analytical and numerical analysis of the reference region model for DCE-MRI.动态对比增强磁共振成像(DCE-MRI)参考区域模型的分析与数值分析比较
Magn Reson Imaging. 2014 Sep;32(7):845-53. doi: 10.1016/j.mri.2014.04.007. Epub 2014 Apr 24.
5
Comparison of errors associated with single- and multi-bolus injection protocols in low-temporal-resolution dynamic contrast-enhanced tracer kinetic analysis.低时间分辨率动态对比增强示踪剂动力学分析中与单剂量和多剂量注射方案相关的误差比较。
Magn Reson Med. 2006 Sep;56(3):611-9. doi: 10.1002/mrm.20971.
6
Subcompartmentalization of extracellular extravascular space (EES) into permeability and leaky space with local arterial input function (AIF) results in improved discrimination between high- and low-grade glioma using dynamic contrast-enhanced (DCE) MRI.将细胞外细胞外空间(EES)细分为具有局部动脉输入函数(AIF)的通透性和渗漏性空间,可提高使用动态对比增强(DCE)MRI 对高级别和低级别胶质瘤的区分能力。
J Magn Reson Imaging. 2013 Sep;38(3):677-88. doi: 10.1002/jmri.24021. Epub 2013 Feb 6.
7
Reproducibility of the aortic input function (AIF) derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) of the kidneys in a volunteer study.志愿者研究中通过肾脏动态对比增强磁共振成像(DCE-MRI)得出的主动脉输入函数(AIF)的可重复性。
Eur J Radiol. 2009 Sep;71(3):576-81. doi: 10.1016/j.ejrad.2008.09.025. Epub 2008 Nov 11.
8
On the scope and interpretation of the Tofts models for DCE-MRI.关于 DCE-MRI 的 Tofts 模型的范围和解释。
Magn Reson Med. 2011 Sep;66(3):735-45. doi: 10.1002/mrm.22861. Epub 2011 Mar 7.
9
Quantitative pharmacokinetic analysis of DCE-MRI data without an arterial input function: a reference region model.无动脉输入函数的DCE-MRI数据定量药代动力学分析:一种参考区域模型
Magn Reson Imaging. 2005 May;23(4):519-29. doi: 10.1016/j.mri.2005.02.013.
10
SU-E-I-18: Variability of Physiological Parameters Estimated by AATH and MTK Models in DCE-MRI.SU-E-I-18:动态对比增强磁共振成像中AATH和MTK模型估计的生理参数变异性
Med Phys. 2012 Jun;39(6Part4):3628-3629. doi: 10.1118/1.4734733.

引用本文的文献

1
Quantitative Total-Body Imaging of Blood Flow with High-Temporal-Resolution Early Dynamic F-FDG PET Kinetic Modeling.采用高时间分辨率早期动态F-FDG PET动力学模型进行血流的定量全身成像。
J Nucl Med. 2025 Jun 2;66(6):973-980. doi: 10.2967/jnumed.124.268706.
2
Accelerated dynamic magnetic resonance imaging from Spatial-Subspace Reconstructions (SPARS).基于空间子空间重构(SPARS)的加速动态磁共振成像
PLoS One. 2025 Jan 31;20(1):e0317271. doi: 10.1371/journal.pone.0317271. eCollection 2025.
3
The application of the golden-angle radial sparse parallel technique in T restaging of locally advanced rectal cancer after neoadjuvant chemoradiotherapy.
金黄角径向稀疏并行技术在新辅助放化疗后局部进展期直肠癌 T 再分期中的应用。
Abdom Radiol (NY). 2024 Aug;49(8):2960-2970. doi: 10.1007/s00261-024-04400-x. Epub 2024 Jun 1.
4
Retrospective quantification of clinical abdominal DCE-MRI using pharmacokinetics-informed deep learning: a proof-of-concept study.利用药代动力学信息深度学习对临床腹部动态对比增强磁共振成像进行回顾性定量分析:一项概念验证研究。
Front Radiol. 2023 Sep 4;3:1168901. doi: 10.3389/fradi.2023.1168901. eCollection 2023.
5
Pharmacokinetic Analysis of Enhancement-Constrained Acceleration (ECA) reconstruction-based high temporal resolution breast DCE-MRI.基于增强约束加速(ECA)重建的高时间分辨率乳腺 DCE-MRI 的药代动力学分析。
PLoS One. 2023 Jun 15;18(6):e0286123. doi: 10.1371/journal.pone.0286123. eCollection 2023.
6
Impact of Temporal Resolution and Methods for Correction on Cardiac Magnetic Resonance Perfusion Quantification.时间分辨率和校正方法对心脏磁共振灌注定量的影响。
J Magn Reson Imaging. 2022 Dec;56(6):1707-1719. doi: 10.1002/jmri.28180. Epub 2022 Mar 26.
7
Enhancement-constrained acceleration: A robust reconstruction framework in breast DCE-MRI.增强约束加速:乳腺 DCE-MRI 的稳健重建框架。
PLoS One. 2021 Oct 28;16(10):e0258621. doi: 10.1371/journal.pone.0258621. eCollection 2021.
8
An in silico validation framework for quantitative DCE-MRI techniques based on a dynamic digital phantom.基于动态数字体模的定量 DCE-MRI 技术的计算机模拟验证框架
Med Image Anal. 2021 Oct;73:102186. doi: 10.1016/j.media.2021.102186. Epub 2021 Jul 20.
9
Diffusion and Perfusion MRI Predicts Response Preceding and Shortly After Radiosurgery to Brain Metastases: A Pilot Study.弥散和灌注 MRI 预测脑转移放射外科治疗前后的反应:一项初步研究。
J Neuroimaging. 2021 Mar;31(2):317-323. doi: 10.1111/jon.12828. Epub 2020 Dec 28.
10
Dynamic contrast-enhanced MRI model selection for predicting tumor aggressiveness in papillary thyroid cancers.动态对比增强 MRI 模型选择预测甲状腺乳头状癌肿瘤侵袭性。
NMR Biomed. 2020 Jan;33(1):e4166. doi: 10.1002/nbm.4166. Epub 2019 Nov 4.