1H-MRS of Human Liver at 3 T: Relaxation Times and Metabolite Concentrations
Jan Weis1, Fredrik Rosqvist2, Joel Kullberg1, Ulf Risérius2, and Håkan Ahlström1

1Department of Radiology, Uppsala University, Uppsala, Sweden, 2Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden

Synopsis

Proton MR spectroscopy of healthy human liver was performed at 3 T MR scanner. The purpose of this study was to estimate glycogen (Glycg), choline-containing compounds (CCC), water, and lipid (-CH2-)n relaxation times T1, T2, and absolute concentration of Glycg, CCC, and fat. Experiments were performed using multiple breath-hold technique. Spectra were processed by LCModel. T1 and T2 values were obtained by mono-exponential fitting spectral intensities versus repetition or echo times. Quantification of liver Glycg, CCC and lipids is important for understanding changes in lipid and glucose metabolism due to metabolic disorders.

Introduction

1H-MR spectra of the liver contain spectral lines of glycogen (Glycg) and choline-containing compounds (CCC) in addition to the strong water and lipid (Lip) resonances. Quantification of CCC is important because choline is related to malignancy.1,2 Liver glycogen serves as a form of energy storage. It can be quickly mobilized to meet a need for glucose.3 Glycogen and lipid metabolism is involved in metabolic disorders (diabetes mellitus, obesity).3-5 However, quantification of Glycg, CCC and their relaxation times is a challenge. Small Glycg and CCC spectral lines “disappear” from the spectrum already due to slight respiratory motion. In the present work, we applied multiple breath-hold 1H-MRS technique to obtain liver spectra. Our aim was to measure Glycg, CCC, water, and lipid (-CH2-)n relaxation times T1, T2 and to estimate absolute concentration of liver Glycg, CCC and fat.

Methods

Two groups of healthy volunteers were recruited. The first group (5 males, median age 26 years, range 24-64) participated in relaxation time experiments. Metabolite concentrations were estimated using the second group (8 males, median age 41.5 years, range: 28-64, mean body mass index 26.2±1.2 kg/m2, range: 24.3-27.9). Experiments were performed on a Philips (Achieva) and General Electric PET/MR (Signa) 3T scanners. Expiration breath-hold (EBH) single-voxel PRESS sequence was used for localization (Fig. 1). Relaxation time experiments were performed on a Philips scanner (BW 2000 Hz, voxel size 35x35x35 mm3). Water T1, T2 were computed using the spectra acquired at seven TRs (range: 710-4000 ms, two dummy excitations, number of scans (NS) 2, TE 40 ms), and seven TEs (range: 40-175 ms, TR 1500 ms, NS 2). Water suppressed (WS) spectra were used for estimation of Glycg, CCC and lipid relaxation times. Three spectra were acquired for each combination TR and TE. Two dummy excitations were followed by 4 scans. T1 values were estimated from the spectra measured at TE 60 ms and TRs between 720, and 300 ms. T2 values were computed from the spectra measured at TE range 40-150 ms (TR 1500 ms). Summed signals of Glycg H2H4’, H3 and H5 resonances (Fig. 2) were used to estimate the apparent relaxation times.5 Glycg, CCC and lipid content were quantified using the spectra collected on a GE scanner: voxel size 30x30x30 mm3, BW 5000 Hz, 4096 points, TR/TE 2000/35 ms. 16 non-WS scans were followed by 32 WS acquisitions. FIDs were acquired in a “two-scans mode” (2 phase cycle steps, NS 2), which means that 8 non-WS and 16 WS FIDs were saved separately and processed by LCModel. Relaxation times were estimated by monoexponential fitting of the spectral intensities (Fig. 3). Lipid, CCC and Glycg content was estimated from relaxation corrected spectral intensity ratios to unsuppressed water line. Reference concentration 37 320 mM of “NMR-visible” water in the liver was used. We assumed that liver contains 0.711 g H2O per 1 g wet weight tissue and its density is 1.051 g/cm3.4,5 Furthermore, it was assumed that 10% of tissue water is “NMR-invisible”. Lipid concentration was quantified using (-CH2-)n intensities.6 Glycg concentration was estimated from the spectral intensities H2H4’, H3 and H5.5

Results and discussion

Despite of breath-hold were many spectra distorted by involuntary movement. Corrupted spectra were excluded. Larger voxels were used to improve SNR. Figure 2 shows representative WS spectrum of healthy liver. Relaxation times and metabolite concentrations are shown in Tab. 1. To our knowledge, this is the first 3 T MRS study in which Glycg, CCC, and lipid T1 relaxation times of healthy human liver were estimated. T2 relaxation times of Glycg and CCC and their concentrations can only be compared with the results of Ouwerkerk et al.5 Our values (Tab. 1) are in good agreement with this study.

Conclusion

Multiple breath-hold 1H-MRS technique improves quantification of liver Glycg and CCC.

Acknowledgements

No acknowledgement found.

References

1. Li C-W, Kuo YC, Chen C-Y, et al. Quantification of choline compounds in human hepatic tumors by MRS at 3 T. Magn Reson Med 2005;53:770-776. 2. Fischbach F, Schirmer T, Thormann M. Quantitative proton MRS of the normal liver and malignant hepatic lesions at 3.0 Tesla. Eur Radiol 2008;18:2549-2558. 3. Chen W, Avison MJ, Bloch G, Schulman RG. Proton NMR observation of glycogen in vivo. Magn Reson Med 1994;31:576-579. 4. Szczepaniak LS, Nurenberg P, Leonard D, et al. MRS to measure hepatic triglyceride content. Am J Physiol Endocrinol Metab 2005;288:E462-E468. 5. Ouwerkerk R, Pettigrew RI, Gharib AM. Liver metabolic concentrations measured with 1H-MRS. Radiology 2012;265:565-575. 6. Boesch C, Machann J, Vermathen P, Schick F. Role of proton MR for the study of muscle lipid metabolism. NMR Biomed 2006;19:968-988.

Figures

Fig. 1. Typical voxel position.

Fig. 2. Representative spectrum of healthy liver, fits and residue.

Fig. 3. Mono-exponential fits of spectral intensities vs. TR and TE.

Table 1. Relaxation times (ms) and metabolite concentrations (mM/kg wet weight) of healthy liver. N = number of subjects.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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