MRSCloud: A cloud-based MRS tool for basis set simulation.

MRSCloud: A cloud-based MRS tool for basis set simulation.
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DOI:
10.1002/mrm.29370
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发表时间:
2022-11
影响因子:
3.3
通讯作者:
Edden, Richard A. E.
Edden, Richard A. E.
中科院分区:
医学3区
文献类型:
--
作者:
Hui, Steve C. N.;Saleh, Muhammad G.;Zollner, Helge J.;Oeltzschner, Georg;Fan, Hongli;Li, Yue;Song, Yulu;Jiang, Hangyi;Near, Jamie;Lu, Hanzhang;Mori, Susumu;Edden, Richard A. E.

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本研究的目的是提出一种基于云的光谱模拟工具“MRSCloud”,它允许 MRS 用户以方便且省时的方式在线模拟供应商和序列特定的基础集。该工具可以模拟 GE、飞利浦和西门子 MR 扫描仪的基础集,包括使用 PRESS 和 3T 半激光定位的传统采集和光谱编辑方案。 MRSCloud 建立在 FID-A 软件包中的光谱模拟功能之上。我们添加了三个扩展来加速计算,即一维投影方法、相干路径滤波器和传播器的预计算。 RF 波形是根据供应商的通用脉冲形状和时序生成的。使用不同数量的空间分辨率(21×21、41×41 和 101×101)在 MRSCloud 内比较模拟。将 MRSCloud 模拟的代谢物基函数与通用 FID-A 和 MARSS 生成的基函数以及从 LCModel 获得的幻像基函数进行比较。计算组内相关系数(ICC)来衡量各个代谢物基函数之间的一致性。使用 RStudio 中的 R 进行统计分析。完整的 PRESS 基组在服务器上的模拟时间约为 11 分钟。 MRSCloud 和 FID-A 之间的 ICC 至少为 0.98,MRSCloud 和 MARSS 之间的 ICC 至少为 0.96。模拟的 MRSCloud 基础光谱与获取的 LCModel 基础光谱之间的 ICC 最低,Gln 为 0.68,NAA 最高,为 0.96。运行时间已大幅减少。高 ICC 值表明加速功能运行正确并产生可比且准确的基础集。
The purpose of this study is to present a cloud-based spectral simulation tool ‘MRSCloud’ which allows MRS users to simulate a vendor- and sequence-specific basis set online in a convenient and time-efficient manner. This tool can simulate basis sets for GE, Philips and Siemens MR scanners, including conventional acquisitions and spectral editing schemes with PRESS and semi-LASER localization at 3T. MRSCloud was built upon the spectral simulation functionality in the FID-A software package. We added three extensions to accelerate computation i.e., one-dimensional projection method, coherence pathways filters and pre-calculation of propagators. RF waveforms were generated based on vendors’ generic pulse shapes and timings. Simulations were compared within MRSCloud using different numbers of spatial resolution (21×21, 41×41 and 101×101). Simulated metabolite basis functions from MRSCloud were compared to those generated by the generic FID-A and MARSS, and a phantom-acquired basis set from LCModel. Intraclass correlation coefficients (ICC) were calculated to measure the agreement between individual metabolite basis functions. Statistical analysis was performed using R in RStudio. Simulation time for a full PRESS basis set is approximately 11 minutes on the server. ICCs were at least 0.98 between MRSCloud and FID-A and were at least 0.96 between MRSCloud and MARSS. ICCs between simulated MRSCloud basis spectra and acquired LCModel basis spectra were lowest for Gln at 0.68 and highest for NAA at 0.96. Substantial reductions in runtime have been achieved. High ICC values indicated that the accelerating features are running correctly and produce comparable and accurate basis sets.
DOI: 10.1002/mrm.25007
发表时间: 2014-10
影响因子: 3.3
作者:
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通讯作者: Shen, Jun
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发表时间: 1984-01-01
影响因子: 2.2
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发表时间: 2001-12-01
影响因子: 2.2
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发表时间: 1987-09-01
影响因子: 2.2
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通讯作者: KRITZER, MR
DOI: 10.1002/nbm.4129
发表时间: 2019-07-17
期刊: NMR IN BIOMEDICINE
影响因子: 2.9
作者:
Landheer, Karl;Swanberg, Kelley M.;Juchem, Christoph
通讯作者: Juchem, Christoph