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A data-driven algorithm to determine 1H-MRS basis set composition
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DOI：10.1002/mrm.70030.png)
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Abstract
En 中文
Metabolite amplitude estimates derived from linear combination modeling of MR spectra depend on the precise list of constituent metabolite basis functions used (the “basis set”). The absence of clear consensus on the “ideal” composition or objective criteria to determine the suitability of a particular basis set contributes to the poor reproducibility of MRS. In this proof-of-concept study, we demonstrate a novel, data-driven approach for deciding the basis-set composition using Akaike information criteria (AIC).
Keywords:
2HG
basis set
cystathionine
information criteria
magnetic resonance spectroscopy
model selection
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1.2W
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