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.
中科院分区:
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.
关键词:
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.
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影响因子:
3.3
作者:
An, Li;Li, Shizhe;Wood, Emily T.;Reich, Daniel S.;Shen, Jun
通讯作者:
Shen, Jun
影响因子:
2.2
作者:
BODENHAUSEN, G;KOGLER, H;ERNST, RR
通讯作者:
ERNST, RR
影响因子:
2.2
作者:
Garwood, M;DelaBarre, L
通讯作者:
DelaBarre, L
影响因子:
2.2
作者:
MURDOCH, JB;LENT, AH;KRITZER, MR
通讯作者:
KRITZER, MR
影响因子:
2.9
作者:
Landheer, Karl;Swanberg, Kelley M.;Juchem, Christoph
通讯作者:
Juchem, Christoph