Suppr超能文献

基于高分辨率多反转 EPI 的定量 T 测量的优化反转时间方案。

Optimized inversion-time schedules for quantitative T measurements based on high-resolution multi-inversion EPI.

机构信息

Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.

Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.

出版信息

Magn Reson Med. 2018 Apr;79(4):2101-2112. doi: 10.1002/mrm.26889. Epub 2017 Aug 27.

Abstract

PURPOSE

Demonstrate an optimized multi-inversion echo-planar imaging technique to accelerate quantitative T mapping by judicious selection of inversion times for each slice.

METHODS

Slice ordering is optimized to maximize discrimination between tissues with different T values. The optimized slice orderings are tested in the International Society for Magnetic Resonance in Medicine/National Institute of Standards and Technology phantom and compared with an unoptimized 21-measurement acquisition. The utility of the method is demonstrated in a healthy subject in vivo at 3 T and validated with a gold-standard inversion-recovery sequence. The in vivo precision of our technique was tested by repeated scans of the same subject within a scan session and across scan sessions, occurring 28 days apart.

RESULTS

Phantom measurements yielded good agreement (R  = 0.99) between the T estimates from the proposed optimized protocol, reference values from the National Institute of Standards and Technology phantom and gold-standard inversion-recovery values, as well as a negligible estimation bias that was slightly lower than that from the unoptimized 21-measurement protocol (0.74 versus 19 ms). The range of values for the scan-rescan coefficient of variation was 0.86 to 0.93 (within session) and 0.83 to 0.92 (across sessions) across all scan durations tested.

CONCLUSIONS

Optimized slice orderings allow faster quantitative T mapping. The optimized sequence yielded accurate and precise T maps. Magn Reson Med 79:2101-2112, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

摘要

目的

通过明智地选择每个切片的反转时间,展示一种优化的多反转回波平面成像技术,以加速定量 T 映射。

方法

优化切片顺序以最大化具有不同 T 值的组织之间的区分度。将优化的切片顺序在国际磁共振学会/国家标准与技术研究所(NIST)体模中进行测试,并与未经优化的 21 次测量采集进行比较。该方法在 3T 下的健康受试者体内进行了演示,并与金标准反转恢复序列进行了验证。通过在扫描会话内和扫描会话之间对同一受试者进行重复扫描,测试了我们技术的体内精度,两次扫描间隔 28 天。

结果

体模测量结果表明,所提出的优化方案的 T 估计值与 NIST 体模的参考值和金标准反转恢复值之间具有很好的一致性(R=0.99),并且估计偏差几乎可以忽略不计,略低于未经优化的 21 次测量方案(0.74 与 19ms)。在所有测试的扫描持续时间内,扫描-再扫描变异系数的范围为 0.86 到 0.93(在会话内)和 0.83 到 0.92(在会话间)。

结论

优化的切片顺序允许更快的定量 T 映射。优化的序列产生了准确和精确的 T 图。磁共振医学 79:2101-2112,2018。© 2017 国际磁共振学会。

相似文献

引用本文的文献

10
MR fingerprinting Deep RecOnstruction NEtwork (DRONE).磁共振指纹成像深度重建网络(DRONE)。
Magn Reson Med. 2018 Sep;80(3):885-894. doi: 10.1002/mrm.27198. Epub 2018 Apr 6.

本文引用的文献

1
Algorithm comparison for schedule optimization in MR fingerprinting.磁共振指纹成像中用于序列优化的算法比较
Magn Reson Imaging. 2017 Sep;41:15-21. doi: 10.1016/j.mri.2017.02.010. Epub 2017 Feb 24.
2
What are normal relaxation times of tissues at 3 T?在3T时,组织的正常弛豫时间是多少?
Magn Reson Imaging. 2017 Jan;35:69-80. doi: 10.1016/j.mri.2016.08.021. Epub 2016 Sep 2.
4
Simultaneous multislice (SMS) imaging techniques.同时多层(SMS)成像技术。
Magn Reson Med. 2016 Jan;75(1):63-81. doi: 10.1002/mrm.25897. Epub 2015 Aug 26.
7
On the accuracy of T1 mapping: searching for common ground.关于T1映射的准确性:寻求共识
Magn Reson Med. 2015 Feb;73(2):514-22. doi: 10.1002/mrm.25135. Epub 2014 Feb 27.
8
Magnetic resonance fingerprinting.磁共振指纹成像。
Nature. 2013 Mar 14;495(7440):187-92. doi: 10.1038/nature11971.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验