Related Experiment Video
Updated: May 2, 2026

Author Spotlight: A Non-Invasive Tool to Assess and Differentiate Fat Patterns in Liver Using 3D Dixon MRI
Published on: October 20, 2023
Hepatic fat during fasting and refeeding by MRI fat quantification.
Sreenath Narayan1, Chris A Flask, Satish C Kalhan
1Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.
High-field small animal MRI accurately detects dynamic liver fat changes. Fasting increased hepatic fat, which reversed upon refeeding, demonstrating MRI
Area of Science:
- Biomedical Imaging
- Magnetic Resonance Imaging
- Hepatic Metabolism
Background:
- Hepatic fat content is a key indicator of metabolic health.
- Accurate, non-invasive methods are needed to monitor dynamic changes in liver fat.
Purpose of the Study:
- To assess the sensitivity of high-field small animal MRI to dynamic changes in liver fat.
- To investigate the influence of prandial state on hepatic fat imaging.
Main Methods:
- Asymmetric spin-echo MRI sequences were used to acquire data at three timepoints over 48 hours.
- Mice were subjected to a fasting/refeeding protocol to induce dynamic changes in hepatic fat.
- Fat fraction maps were generated, and regions of interest in the liver were analyzed over time.
Main Results:
- Five of six fasted mice showed a significant increase in hepatic fat fraction (average 0.54 ± 0.48).
- Refeeding led to a decrease in hepatic fat fraction.
- Statistical analysis confirmed significant effects of both fasting/refeeding and time on liver fat content (P = 0.003).
Conclusions:
- Fat-water MRI techniques are sensitive to short-term dietary-induced alterations in hepatic fat.
- MRI can reliably quantify dynamic changes in liver fat content in small animal models.
More Related Videos
07:59Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
Published on: September 7, 2018
09:21Human Brown Adipose Tissue Depots Automatically Segmented by Positron Emission Tomography/Computed Tomography and Registered Magnetic Resonance Images
Published on: February 18, 2015