Results and interpretation of a fitting challenge for MR spectroscopy set up by the MRS study group of ISMRM.
Results and interpretation of a fitting challenge for MR spectroscopy set up by the MRS study group of ISMRM.
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DOI：
10.1002/mrm.28942
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发表时间：
2022-01
影响因子：
3.3
通讯作者：
2016 ISMRM MRS Study Group Fitting Challenge Team
中科院分区：
文献类型：
--
作者：
Marjańska M;Deelchand DK;Kreis R;2016 ISMRM MRS Study Group Fitting Challenge Team
MRS数据的拟合在代谢物浓度的量化中起着重要作用。MRS社区使用许多不同的光谱拟合包。设立了一个拟合挑战，以允许在性能和稳健性的基础上比较拟合方法。为28个数据集生成了合成数据。对于大多数接近正常脑部浓度的常见代谢物，使用理想脉冲来模拟短回声时间压谱。大分子的贡献也被包括在内。调制信噪比、线型类型和宽度、γ-氨基丁酸、谷胱甘肽和大分子的浓度，以及包含伪影和脂肪信号以模拟肿瘤光谱都是需要应对的挑战。对26份意见书进行了评估。从视觉上看，大多数Fit包表现良好，大部分是噪音类残留物。然而，在匹配性能方面发现了显著的差异，对知名套餐来说，偏见问题也很明显。此外，经常没有适当地估计误差界，并推导出具有误导性的置信限。研究发现，LC模型中使用的软约束对拟合结果及其对信噪比的依赖程度有很大影响。多个拟合包得到的拟合结果的准确度和精密度有很大差异。
Fitting of MRS data plays an important role in the quantification of metabolite concentrations. Many different spectral fitting packages are used by the MRS community. A fitting challenge was set up to allow comparison of fitting methods on the basis of performance and robustness. Synthetic data were generated for 28 datasets. Short-echo time PRESS spectra were simulated using ideal pulses for the common metabolites at mostly near-normal brain concentrations. Macromolecular contributions were also included. Modulations of signal-to-noise ratio (SNR), lineshape type and width, concentrations of γ-aminobutyric acid, glutathione and macromolecules, and inclusion of artifacts and lipid signals to mimic tumor spectra were included as challenges to be coped with. Twenty-six submissions were evaluated. Visually, most fit packages performed well with mostly noise-like residuals. However, striking differences in fit performance were found with bias problems also evident for well-known packages. In addition, often error bounds were not appropriately estimated and deduced confidence limits misleading. Soft constraints as used in LCModel were found to substantially influence the fitting results and their dependence on SNR. Substantial differences were found for accuracy and precision of fit results obtained by the multiple fit packages.
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影响因子：
2.9
作者：
KREIS, R;FARROW, N;ROSS, BD
通讯作者：
ROSS, BD
DOI：
10.1007/s10334-004-0037-9
发表时间：
2004-05-01
影响因子：
2.3
作者：
Ratiney, H;Coenradie, Y;Graveron-Demilly, D
通讯作者：
Graveron-Demilly, D
影响因子：
3.3
作者：
Henry, PG;Marjanska, M;Ugurbil, K
通讯作者：
Ugurbil, K
影响因子：
3.3
作者：
Bonny, Jean-Marie;Pages, Guilhem
通讯作者：
Pages, Guilhem
影响因子：
3.3
作者：
Slotboom, J;Boesch, C;Kreis, R
通讯作者：
Kreis, R