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Fat-Water Phantoms for Magnetic Resonance Imaging Validation: A Flexible and Scalable Protocol
Published on: September 7, 2018
Simultaneous quantification of fat content and fatty acid composition using MR imaging.
Pernilla Peterson1, Sven Månsson
1Department of Medical Radiation Physics, Lund University, Skånes University Hospital, SE-205 22 Malmö, Sweden.. pernilla.peterson@med.lu.se
Magnetic Resonance in Medicine
|April 26, 2012
Summary
A new imaging method accurately quantifies fat fraction and fatty acid composition in triglycerides. This technique shows promise for researching nonalcoholic fatty liver disease and nonalcoholic steatohepatitis.
Area of Science:
- Biomedical Imaging
- Medical Physics
- Biochemistry
Background:
- Fatty acid (FA) composition in triglycerides is crucial for understanding nonalcoholic fatty liver disease (NAFLD) and nonalcoholic steatohepatitis (NASH).
- Current methods for quantifying fat content and FA composition have limitations.
Purpose of the Study:
- To develop and validate a novel imaging method for simultaneous quantification of fat fraction (FF) and FA composition (chain length, number of double bonds, number of methylene-interrupted double bonds).
- To assess the accuracy of the proposed method compared to spectroscopy.
Main Methods:
- A novel reconstruction approach utilizing theoretical knowledge of FA chemical structures was developed.
- Multiple gradient echo images were acquired from 20 phantoms with varying FF and FA compositions.
- Phantom data were compared against spectroscopy measurements using slopes and standard deviations from true values.
Main Results:
- The developed imaging method accurately quantified FF and FA composition (cl, ndb, nmidb) in phantoms.
- The imaging method demonstrated comparable accuracy to the established spectroscopy method.
- Successful in vivo demonstration of the method in thigh adipose tissue of a healthy volunteer.
Conclusions:
- The novel imaging method is a promising tool for accurate FF and FA composition quantification.
- This technique has potential applications in NAFLD and NASH research.
- The method offers a non-invasive approach to assess triglyceride composition.

