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时分复用(TDM)序列消除了T估计和弛豫扩散测量中的偏差。

Time-division multiplexing (TDM) sequence removes bias in T estimation and relaxation-diffusion measurements.

作者信息

Liu Qiang, Gagoski Borjan, Shaik Imam Ahmed, Westin Carl-Fredrik, Wilde Elisabeth A, Schneider Walter, Bilgic Berkin, Grissom William A, Nielsen Jon-Fredrik, Zaitsev Maxim, Rathi Yogesh, Ning Lipeng

机构信息

Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

School of Biomedical Engineering, Southern Medical University, Guangzhou, China.

出版信息

Magn Reson Med. 2024 Dec;92(6):2506-2519. doi: 10.1002/mrm.30246. Epub 2024 Aug 13.

DOI:10.1002/mrm.30246
PMID:39136245
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11436305/
Abstract

PURPOSE

To compare the performance of multi-echo (ME) and time-division multiplexing (TDM) sequences for accelerated relaxation-diffusion MRI (rdMRI) acquisition and to examine their reliability in estimating accurate rdMRI microstructure measures.

METHOD

The ME, TDM, and the reference single-echo (SE) sequences with six TEs were implemented using Pulseq with single-band (SB) and multi-band 2 (MB2) acceleration factors. On a diffusion phantom, the image intensities of the three sequences were compared, and the differences were quantified using the normalized RMS error (NRMSE). Shinnar-Le Roux (SLR) pulses were implemented for the SB-ME and SB-SE sequences to investigate the impact of slice profiles on ME sequences. For the in-vivo brain scan, besides the image intensity comparison and T-estimates, different methods were used to assess sequence-related effects on microstructure estimation, including the relaxation diffusion imaging moment (REDIM) and the maximum-entropy relaxation diffusion distribution (MaxEnt-RDD).

RESULTS

TDM performance was similar to the gold standard SE acquisition, whereas ME showed greater biases (3-4× larger NRMSEs for phantom, 2× for in-vivo). T values obtained from TDM closely matched SE, whereas ME sequences underestimated the T relaxation time. TDM provided similar diffusion and relaxation parameters as SE using REDIM, whereas SB-ME exhibited a 60% larger bias in the  map and on average 3.5× larger bias in the covariance between relaxation-diffusion coefficients.

CONCLUSION

Our analysis demonstrates that TDM provides a more accurate estimation of relaxation-diffusion measurements while accelerating the acquisitions by a factor of 2 to 3.

摘要

目的

比较多回波(ME)和时分复用(TDM)序列在加速弛豫扩散磁共振成像(rdMRI)采集中的性能,并检验它们在估计准确的rdMRI微观结构测量值方面的可靠性。

方法

使用Pulseq软件,采用单带(SB)和多带2(MB2)加速因子,实现了ME、TDM以及具有六个回波时间(TE)的参考单回波(SE)序列。在扩散体模上,比较了三个序列的图像强度,并使用归一化均方根误差(NRMSE)对差异进行量化。对SB-ME和SB-SE序列实施了Shinnar-Le Roux(SLR)脉冲,以研究切片轮廓对ME序列的影响。对于体内脑部扫描,除了图像强度比较和T估计外,还使用了不同方法来评估序列相关效应对微观结构估计的影响,包括弛豫扩散成像矩(REDIM)和最大熵弛豫扩散分布(MaxEnt-RDD)。

结果

TDM的性能与金标准SE采集相似,而ME表现出更大的偏差(体模的NRMSE大3 - 4倍,体内大2倍)。从TDM获得的T值与SE紧密匹配,而ME序列低估了T弛豫时间。使用REDIM时,TDM提供的扩散和弛豫参数与SE相似,而SB-ME在图中的偏差大60%,在弛豫扩散系数协方差方面平均偏差大3.5倍。

结论

我们的分析表明,TDM在将采集速度加快2至3倍的同时,能更准确地估计弛豫扩散测量值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/d66083d190f9/nihms-2013076-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/da259dcfb336/nihms-2013076-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/da7f0780d868/nihms-2013076-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/a94c8dfb8840/nihms-2013076-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/5fac1aa6bf66/nihms-2013076-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/0d91abd26e4e/nihms-2013076-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/751471fa7dd8/nihms-2013076-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/3d3e7e7bd8e3/nihms-2013076-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/d66083d190f9/nihms-2013076-f0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/da259dcfb336/nihms-2013076-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/da7f0780d868/nihms-2013076-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/a94c8dfb8840/nihms-2013076-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/5fac1aa6bf66/nihms-2013076-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/0d91abd26e4e/nihms-2013076-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/751471fa7dd8/nihms-2013076-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/3d3e7e7bd8e3/nihms-2013076-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bd63/11436305/d66083d190f9/nihms-2013076-f0008.jpg

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