Effects of different macromolecular models on reproducibility of FID-MRSI at 7T.

ABSTRACT:

Purpose

A properly characterized macromolecular (MM) contribution is essential for accurate metabolite quantification in FID-MRSI. MM information can be included into the fitting model as a single component or parameterized and included over several individual MM resonances, which adds flexibility when pathologic changes are present but is prone to potential overfitting. This study investigates the effects of different MM models on MRSI reproducibility.

Methods

Clinically feasible, high-resolution FID-MRSI data were collected in ~5 min at 7 Tesla from 10 healthy volunteers and quantified via LCModel (version 6.3) with 3 basis sets, each with a different approach for how the MM signal was handled: averaged measured whole spectrum (full MM), 9 parameterized components (param M

SUBMITTER: Heckova E 

PROVIDER: S-EPMC6851974 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature