关节系统弛豫度测量法(JSR)和序列参数克拉美-罗下限优化:提高 DESPOT T 和 T 估计精度的框架。

Joint system relaxometry (JSR) and Crámer-Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T and T estimation.

机构信息

Division of Imaging Sciences and Biomedical Engineering, King's College London, London, United Kingdom.

Centre for the Developing Brain, King's College London, London, United Kingdom.

出版信息

Magn Reson Med. 2018 Jan;79(1):234-245. doi: 10.1002/mrm.26670. Epub 2017 Mar 16.

Abstract

PURPOSE

This 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).

METHODS

Following the development of the analysis and design capabilities, phantom and four in vivo subject experiments were performed to compare directly the precision achieved with DESPOT and JSR estimation using published protocols and protocols designed using a proposed CRLB framework.

RESULTS

Experimental data demonstrate JSR's ability to decrease relaxometry estimation variance. Phantom results show 72 to 77% improvement using the same data as conventional DESPOT. This is further improved to 81 to 87% using optimal parameters. Both experiments show systematic bias depending on the acquisition parameters used, which are shown to be highly reproducible and to vary with different magnetization transfer conditions.

CONCLUSIONS

Compared with DESPOT, JSR produces reproducible relaxation maps with improved precision. Further improvement was achieved using CRLB as a protocol design tool. With this combined approach, it is possible to achieve submillimeter maps of ρ,T1,T2, and B0 in an 11-min examination, making the approach appealing for potential clinical use. Magn Reson Med 79:234-245, 2018. © 2017 The Authors Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

摘要

目的

本研究旨在通过两种方法提高单室 DESPOT 弛豫定量技术的精度:(i)联合系统弛豫定量(JSR)方法,使用所有可用数据在单个步骤中估计参数;(ii)通过基于克拉美-罗下限(CRLB)的稳健设计工具来优化采集参数。

方法

在开发分析和设计能力之后,进行了体模和四个体内受试者实验,直接比较使用已发表的方案和使用提出的 CRLB 框架设计的方案进行 DESPOT 和 JSR 估计所达到的精度。

结果

实验数据表明 JSR 能够降低弛豫定量估计的方差。体模结果显示,使用与传统 DESPOT 相同的数据,精度提高了 72%至 77%。使用最佳参数进一步提高到 81%至 87%。两个实验都显示了系统偏差,这取决于所使用的采集参数,这些参数被证明具有高度可重复性,并随不同的磁化转移条件而变化。

结论

与 DESPOT 相比,JSR 产生了具有更高精度的可重复弛豫图。使用 CRLB 作为方案设计工具进一步提高了精度。通过这种联合方法,可以在 11 分钟的检查中实现 ρ、T1、T2 和 B0 的亚毫米图谱,这使得该方法在潜在的临床应用中很有吸引力。磁共振医学 79:234-245,2018。©2017 作者。磁共振医学由 Wiley 期刊出版公司代表国际磁共振医学学会出版。这是在知识共享署名许可下的条款允许使用、分发和复制在任何媒介,只要原始作品正确引用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/627e/5763350/6f71d679697e/MRM-79-234-g001.jpg

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