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Dataset Information

Harnessing dual-energy CT for glycogen quantification: a phantom analysis.


ABSTRACT:

Background

Non-invasive glycogen quantification in vivo could provide crucial information on biological processes for glycogen storage disorder. Using dual-energy computed tomography (DECT), this study aimed to assess the viability of quantifying glycogen content in vitro.

Methods

A fast kilovolt-peak switching DECT was used to scan a phantom containing 33 cylinders with different proportions of glycogen and iodine mixture at varying doses. The virtual glycogen concentration (VGC) was then measured using material composition images. Additionally, the correlations between VGC and nominal glycogen concentration (NGC) were evaluated using least-square linear regression, then the calibration curve was constructed. Quantitative estimation was performed by calculatin

SUBMITTER: Li M 

PROVIDER: S-EPMC10423366 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature