- Poster presentation
- Open Access
Myocardial fat quantification using 2D Dixon MRI: feasibility study
© Liu et al; licensee BioMed Central Ltd. 2009
- Published: 28 January 2009
- Intracellular Triglyceride
- Myocardial Triglyceride
- Gated Press
- Unsuppressed Spectrum
- Decomposed Water
The concept of fat contained within the myocardium, has recently received attention because of its potential role in diabetic myocardial disease, obesity, and human immunodeficiency virus (HIV) infected individuals . Measurements of myocardial triglycerides in humans have been accessed using proton MR spectroscopy (1H MRS) . 1H MRS provides a precise and reproducible tool for in-vivo quantification of intracellular triglycerides within the sarcolemma. However, the spatial distribution of the fat deposition cannot be accessed by 1H MRS due to its single voxel characteristics. We studied whether the dual-echo Dixon MRI could quantify the fatty content of the myocardium. The fraction of fat was also quantified directly with 1H MRS as an independent method.
All MRI/MRS studies were performed using a 3.0 T MR scanner (TrioTim Imager, Siemens) on seven healthy individuals. Myocardial 1H MRS was obtained with a 6-ml voxel positioned in the interventricular septum. Four chamber and short-axis images were acquired by using a breath-hold dual-echo spoiled gradient-recalled echo sequence with TR/TE (In, Out) = 6.3/2.46, 3.69 ms, flip angle = 15° in late diastole. Fat (F) and water (W) images were reconstructed using Matlab. The short-axis water image was used as a reference to contour the epi- and endo-myocardial borders using Mass, and epi-cardial fat was carefully excluded. Contours were transposed to the fat fraction images (defined as F/(F+W) ) to calculate the fat fraction of different sectors of the myocardium. MRS was performed with water suppressed ECG gated PRESS, TR/TE = 1 R-R/30 ms, with navigator across the liver-lung interface to reduce of breathing effects. Fat content was quantified with Amares/MRUI and related to water in unsuppressed spectra.
The dual echo technique showed consistently higher estimates of fat fraction compared to the 1H MRS technique. To accurately quantify the fat fraction, two major issues should be addressed: the effect of tissue relaxation (T1 bias) and image noise. T1 bias is small however for low fat fraction that we observed. Low signal intensity/image noise may become the dominant source of bias since the magnitude image was reconstructed. Future work will focus on the noise reduction.
This article is published under license to BioMed Central Ltd.