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Joint system relaxometry (JSR) and Crámer‐Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation

机译：联合系统弛豫法（JSR）和Crámer-Rao序列参数的下界优化：用于提高DESPOT T1和T2估计精度的框架

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摘要

PurposeThis study aims to increase the precision of single‐compartment DESPOT relaxometry by two means: (i) a joint system relaxometry (JSR) approach that estimates parameters in a single step using all available data; and (ii) optimizing acquisition parameters by deploying a robust design tool based on the Crámer‐Rao lower bound (CRLB).

机译：目的本研究旨在通过两种方式提高单室DESPOT弛豫法的精度：（i）一种联合系统弛豫法（JSR）方法，使用所有可用数据在单个步骤中估算参数；（ii）通过部署基于Crámer-Rao下限（CRLB）的强大设计工具来优化采集参数。

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期刊名称 Wiley-Blackwell Online Open
作者
Rui Pedro A.G. Teixeira; Shaihan J. Malik; Joseph V. Hajnal;
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作者单位

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年(卷),期 -1(79),1
年度 -1
页码 234–245
总页数 12
原文格式 PDF
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关键词
relaxometry CRLB DESPOT;

机译：弛豫法;CRLB;DESPOT;

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专利

1. Joint system relaxometry (JSR) and Crámer‐Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T 1 1 and T 2 2 estimation [J] . Teixeira Rui Pedro A.G., Malik Shaihan J., Hajnal Joseph V. Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine . 2018,第1期

机译：联合系统放置（JSR）和Crámer-RAO序列参数的绑定优化：用于增强暴徒精度的框架T 1 1和T 2 2估计
2. Cramer-Rao lower bounds for precision in T2* assessment for myocardial iron overload measurements by T2* multi-echo CMR [J] . Vincenzo Positano, Antonella Meloni, Alessia Pepe, Journal of cardiovascular magnetic resonance : . 2010,第S1期

机译：Cramer-Rao下界，用于通过T2 *多回波CMR进行心肌铁超负荷测量的T2 *评估精度
3. Cramer-Rao Lower Bounds for Joint Target Parameter Estimation in FM-Based Distributed PassiveRadar Network with Antenna Arrays [J] . Shi C. G., Wang F., Salous S., Radio Science . 2018,第3a4期

机译：基于Cramer-Rao下界的带天线阵列的基于FM的分布式无源雷达网络中的联合目标参数估计
4. JOINT ITERATIVE PARAMETER ESTIMATION FROM THE CRAMER-RAO LOWER BOUND FOR AN OFDM SYSTEM [C] . Apurva N. Mody, Raviv Raich, Gordon L. Stuber IEEE Military Communications Conference . 2008

机译：OFDM系统的Cramer-Rao下限的联合迭代参数估计
5. Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks. [D] . Zuo, Long. 2011

机译：传感器网络中的条件后部Cramer-Rao下界和分布式目标跟踪。
6. Performance Analysis for Joint Target Parameter Estimation in UMTS-Based Passive Multistatic Radar with Antenna Arrays Using Modified Cramér-Rao Lower Bounds [O] . Chenguang Shi, Fei Wang, Sana Salous, 2017

机译：修正的Cramér-Rao下界在基于UMTS的天线阵无源多基地雷达联合目标参数估计性能分析
7. Joint system relaxometry (JSR) and Crámer-Rao lower bound optimization of sequence parameters:A framework for enhanced precision of DESPOT T₁ and T₂ estimation [O] . Teixeira, Rui Pedro A G, Malik, Shaihan J., Hajnal, Joseph V. 2017

机译：联合系统张弛量度（JSR）和Crámer-Rao序列参数下界优化：DESPOT T _{1 和T _{2 估计精度提高的框架}}
8. Cramer-Rao Type Lower Bound for Essentially Unbiased Parameter Estimation [R] . Hero, A. O. 1992

机译：用于基本无偏参数估计的Cramer-Rao型下界

Joint system relaxometry (JSR) and Crámer‐Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation

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