Fat spectral modeling on triglyceride composition quantification using chemical shift encoded magnetic resonance imaging.

ABSTRACT:

Purpose

To explore, at a high field strength of 7T, the performance of various fat spectral models on the quantification of triglyceride composition and proton density fat fraction (PDFF) using chemical-shift encoded MRI (CSE-MRI).

Methods

MR data was acquired from CSE-MRI experiments for various fatty materials, including oil and butter samples and in vivo brown and white adipose mouse tissues. Triglyceride composition and PDFF were estimated using various a priori 6- or 9-peak fat spectral models. To serve as references, NMR spectroscopy experiments were conducted to obtain material specific fat spectral models and triglyceride composition estimates for the same fatty materials. Results obtained using the spectroscopy derived material specific models were compared to resul

SUBMITTER: Simchick G 

PROVIDER: S-EPMC6537901 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature