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Tissue lipid quantification using narrow bandwidth magnetic resonance imaging with a presaturation pulse
H Ishizaka1, K Tomiyoshi, M Matsumoto
1Department of Diagnostic Radiology, Gunma University Hospital, Japan.
Investigative Radiology
|March 1, 1994
Summary
Chemical-shift artifact in magnetic resonance imaging (MRI) can accurately quantify lipid fractions in simulated tissues. This artifact provides a simple and efficient method for precise lipid measurement in phantom studies.
Area of Science:
- Medical Imaging
- Biophysics
- Biochemistry
Background:
- Chemical-shift artifact arises in magnetic resonance imaging (MRI) when presaturation pulses are applied perpendicular to the frequency-encoding axis in narrow bandwidth imaging.
- This artifactual phenomenon can be leveraged for quantitative analysis within biological tissues.
Purpose of the Study:
- To investigate the utility of chemical-shift artifact for quantifying lipid fractions in phantoms simulating biological tissues.
- To establish the accuracy of this artifact-based method by comparing it with established spectroscopic techniques.
Main Methods:
- Twenty phantoms with varying lipid/water ratios were imaged using a 1.5-T MRI scanner with a spin-echo sequence (TR/TE, 2000/20 ms).
- A narrow bandwidth inducing a 6-mm chemical shift and a 6-mm presaturation pulse were employed during imaging.
- Lipid fractions derived from MRI images were compared against values obtained via spectroscopy.
Main Results:
- A strong correlation was observed between image-derived lipid fraction values (LI) and values determined by spectrometry (LS).
- The regression equation was found to be LI = 0.97 + 0.99 LS, with a correlation coefficient (r) of .998, indicating high accuracy.
Conclusions:
- The chemical-shift artifact occurring around presaturation-applied areas offers a straightforward and effective approach for accurate tissue lipid fraction quantification.
- This MRI-based method demonstrates significant potential for non-invasive lipid analysis in various biological and medical applications.