MR Fingerprinting with Chemical Exchange (MRF-X) for In Vivo Multi-Compartment Relaxation and Exchange Rate Mapping
Jesse Ian Hamilton1, Anagha Deshmane1, Mark Griswold1,2, and Nicole Seiberlich1,2

1Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States, 2Radiology, University Hospitals, Cleveland, OH, United States

Synopsis

MR Fingerprinting with Chemical Exchange (MRF-X) is presented for in vivo quantification of relaxation times, volume fraction, and exchange rate for tissues with two compartments. Data are presented in healthy volunteers in both brain and leg skeletal muscle and compared with previously reported measurements.

Purpose

Multi-component maps of relaxation times and water exchange rate are potentially useful for many applications, such as monitoring myelin degenerating disorders and diffuse fibrosis in the heart, but they are not routinely acquired. Recently, MR Fingerprinting with Chemical Exchange (MRF-X) was introduced for simultaneously mapping T1, T2, exchange rate, and volume fraction in voxels with two exchanging pools.1 Here, we present MRF-X maps acquired in human brain and skeletal muscle.

Methods

Three healthy volunteers underwent a brain MRI at 3T (Skyra, Siemens Medical Solutions, Erlangen, Germany) in this IRB approved study. The MRF-X pulse sequence used a FISP-based readout2, variable flip angles (0-75 deg), and constant TR=6.98ms with 3000 RF excitations. An inversion pulse occurred before RF excitations #1 (TI=21ms), #1201 (TI=100ms), and #2401 (TI=250ms). Data were sampled with a variable density spiral having 48 interleaves, matrix size 192x192, and 300mm2 FoV. The same flip angle and TR pattern was repeated 48 times in order to fully-sample k-space, with a 10s pause between each repetition to allow for magnetization recovery (scan time 24min). The MRF-X dictionary was simulated using the two-pool Bloch-McConnell equations3. The dictionary had approximately 69 million entries with the following parameter ranges: T1A and T1B = [50,100:100:2000, 2200:200:3000 3500:500:500]ms, T2A and T2B [5,10:10:100,120:20:200,250,300,400,500,1000]ms, exchange rate kAB=[0.01,0.1,0.25,0.5,0.75,1,2,3,5,7,10,15,20,100]s-1, and volume fraction of the short species ρA=[0:0.02:1]. Quantitative maps were computed by finding the entry in the dictionary that was most highly correlated with the acquired signal evolution at each image pixel. The average MRF-X parameter values were computed over twenty ROIs drawn in white and gray matter. In addition, leg skeletal muscle was scanned in another healthy volunteer using the same sequence and reconstruction. The average MRF-X parameter values were determined in ROIs in the soleus, gastrocnemius, and tibilias anterior muscles.

Results

MRF-X maps in different axial positions in the brain from two volunteers are shown in Figures 1 and 2. Measurements averaged over white matter and gray matter from each volunteer are summarized in Table 1. Short (species A) and long (species B) T1 and T2 components were observed. Averaged over all volunteers, white matter regions had a mean exchange rate of 6.8s-1 (mean residence time 150ms) with 24% volume fraction for the short species, and gray matter regions had a mean exchange rate of 0.1s-1 (little to no exchange) with 75% volume fraction of the short species (although this component had longer relaxation values than the short component in white matter). Table 4 summarizes ROI measurements from leg skeletal muscle in the soleus, tibialis anterior, and gastrocnemius.

Discussion

This work presents the first in vivo use of MRF-X for simultaneously mapping compartment relaxation times, volume fractions, and exchange rates. In white matter, the short and long T2 measurements agree with previously reported values using mcDESPOT.4 Although the biological nature of the two compartments observed with MRF-X is only speculated, the volume fraction and mean residence time in white matter agree with literature values for myelin residence time (140ms) and myelin water fraction (17-32%).5 Two non-exchanging species were observed in gray matter that might be attributed to cellular components (short T1 and T2) and CSF (long T1 and T2). It should be noted that the MRF-X measurements may be less precise when the fraction of one species is very small (e.g. <10%), which could account for noisy patches in the maps. In addition, brain tissue may be more accurately modeled by adding a third non-exchanging compartment to model CSF, which could be incorporated in the MRF-X reconstruction.6 Previous studies have suggested that skeletal muscle contains three compartments with 8% short T2<10ms, 82% T2=45ms, and 10% T2>200ms.7 The two compartments measured with MRF-X may correspond to the short and moderate T2 species, and they have appropriate volume fractions in soleus and gastrocnemius. The exchange rates reported in one study8 are approximately 7.7s-1, which are similar to the values determined using MRF-X. Finally, the volume fraction for the short T2 species using MRF-X is 2.8 times higher in the tibialis anterior compared to the gastrocnemius, which is close to the ratio of 3.8 reported by others.9

Conclusion

In this preliminary in vivo study, it was shown that MRF-X provides multi-compartment relaxation values, volume fractions, and exchange rates that correspond with literature values in the brain and skeletal muscle. Given the key role that these values can play in abnormal tissues, we believe that MRF-X could provide novel insights into disease states.

Acknowledgements

Siemens Medical Solutions, NIH T32EB007509, NIH/NIBIB R00EB011527, NIH/NHLBI R01HL094557.

References

1. Hamilton JI, Deshmane A, Hougen S, Griswold MA, Seiberlich N. Magnetic Resonance Fingerprinting with Chemical Exchange (MRF-X) for Quantification of Subvoxel T1, T2, Volume Fraction, and Exchange Rate. In Proceedings of the 23rd Annual Meeting of the ISMRM, Toronto, Canada, 2015. Abstract 326.

2. Jiang Y, Ma D, Seiberlich N, Gulani V, Griswold MA. MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout. Magn Reson Med 2014. doi: 10.1002/mrm.25559.

3. McConnell HM. Reaction Rates by Nuclear Magnetic Resonance. J. Chem. Phys. 1958;28:430.

4. Deoni SCL, Rutt BK, Arun T, Pierpaoli C, Jones DK. Gleaning multicomponent T1 and T2 information from steady-state imaging data. Magn. Reson. Med. 2008;60:1372–1387.

5. Stanisz GJ, Kecojevic A, Bronskill MJ, Henkelman RM. Characterizing white matter with magnetization transfer and T(2). Magn. Reson. Med. 1999;42:1128–36.

6. Deoni SCL, Matthews L, Kolind SH. One component? Two components? Three? The effect of including a nonexchanging “free” water component in multicomponent driven equilibrium single pulse observation of T1 and T2. Magn. Reson. Med. 2013;70:147–54.

7. Hazlewood C, Chang D, Nichols B, Woessner D. Nuclear magnetic resonance transverse relaxation times of water protons in skeletal muscle. Biophys. J. 1974;14:583–606.

8. Araujo ECA, Fromes Y, Carlier PG. New Insights on Human Skeletal Muscle Tissue Compartments Revealed by In Vivo T2 NMR Relaxometry. Biophys. J. 2014;106:2267–2274.

9. Madler B, Gieseke J, Coenen V. Introducing Dynamic Multi-exponential T2-Relaxation for Studying Muscle Pattern and Activation in the Human. In Proceedings of the 20th Annual Meeting of the ISMRM 20, Melbourne, Australia, 2012. Abstract 47.

Figures

Figure 1. MRF-X maps in one healthy volunteer showing relaxation times for the short (T1A and T2A) and long species (T1B and T2B), exchange rate, and volume fraction of the short species. Note that the exchange rate map is displayed on a logarithmic scale.

Figure 2. MRF-X maps acquired in a different position in the brain of a second volunteer, showing the two compartment relaxation times, exchange rate, and volume fraction.

Table 3. Twenty ROIs were drawn in the MRF-X maps from three healthy volunteers, and the mean and standard deviation was computed in each region. Results are summarized for (a) white matter and (b) gray matter.

Table 4. MRF-X measurements are summarized after drawing ROIs in three different muscle groups (soleus, gastrocnemius, and tibialis anterior).



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