Guruprasad Krishnamoorthy1, Ravi Prakash Reddy Nanga1, Puneet Bagga1, Hari Hariharan1, and Ravinder Reddy1
1Center for Magnetic Resonance and Optical Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States
Synopsis
Osteoarthritis (OA), one
of the most prevalent musculoskeletal conditions, affects a large number of
people around the world with an increased risk on an even larger number of
people getting affected by it in the future [1]. GAG chemical exchange saturation
transfer (gagCEST) is a promising MRI technique to non-invasively quantify GAG content
present in the cartilages [2]. In this study, a new burst mode
magnetization preparation 3D gagCEST technique was developed which provided high-resolution
gagCEST maps of knee cartilages in practically achievable scan times at 7T with
more than twice the sensitivity of the previously reported steady-state
saturation 3D gagCEST study [5].Purpose
To design and develop a new high sensitivity 3D gagCEST technique to quantify glycosaminoglycan present in human knee cartilage in a practically achievable scan time.
Materials & Methods
All the human scans were performed under an approved Institutional Review Board protocol of the University of Pennsylvania. MRI scans were performed on 2 healthy male subjects in the age range 20 – 35 years and one symptomatic male subject aged 65 years old, with knee pain at Siemens 7T whole body MRI scanner (Siemens Medical Solutions, Malvern, PA) using a 28-channel receive array knee coil (Quality Electrodynamics, Mayfield Village, OH). A new 3D ‘burst mode’ sequence was developed as shown in Fig 1. In the burst mode magnetization prepared 3D sequence, the repetition time between magnetization preparation pulses is set to be long (> 3 x T
1). This ensures that the bulk water signal has fully recovered from the previous preparation pulse. Now, to optimize scan time, we used very long low flip angle segmented gradient echo (GRE) readout with elliptically centered ordering for slice encoding (
kz) and phase encoding (k
y). For CEST, a frequency-selective saturation pulse train of 5 Hanning windowed pulses with the duration of 99.8 ms, with a 0.2 ms gap, with a B
1rms of 2.2 µT was used [1]. For B
0 mapping with Water Saturation Shift Referencing (WASSR) [2], a frequency-selective saturation pulse train of 2 Hanning windowed saturation pulses with a B
1rms of 0.3 µT was used. For B
1 map generation, hard pulses with two predefined flip angles are used for magnetization preparation. A new concentration independent B
1 calibration method was developed. Spatial encoding parameters were slice thickness = 3 mm, number of slices = 16, flip angle = 5°, TR/TE = 7.8/3.6 ms, FOV = 140 mm with 0.6 mm
2 in-plane resolution for both axial and coronal orientations. The total scan time for acquisition in both the axial and coronal orientations was 50 min, which includes positioning of the knee as well as the
shimming for B
0 inhomogeneity.
Results
In all the datasets acquired, with both axial and coronal orientations, SNR of cartilages in the images with no saturation magnetization was ~95. For the ROI’s chosen from the healthy regions, CEST asymmetry at 1 ppm from steady-state method [3] is ~3% while that for the burst saturation method is ~7%. Representative slice of gagCEST maps with M0 (water magnetization image with no preparation pulse) and Mz- (water magnetization image with preparation pulse corresponding to -1 p.p.m.) normalizations of patellar and femoral-tibial cartilages from a young healthy volunteer and an elderly subject with reported knee pain are shown in Figs. 2A and 2B. The elderly subject’s patellar cartilage was found significantly thinner than the young subject’s cartilage while this thinning was not observed in the femoral and tibial cartilages. The mean CEST contrast values from the entire cartilage region for both normalizations are shown in Figs. 2C and 2D. Mz- normalization showed a better dynamic range (~9% to ~16%) than the M0 normalization (3.7% to 4.3%). Also, M
z- normalization showed better discrimination between the patellar cartilage of the healthy young subject and the elderly subject (mean gagCEST values, 12.75 ± 4.7% and 9.48 ± 3.7%). The final gagCEST images calculated after motion correction, B
0 and B
1 correction and Mz- normalization are shown in Fig. 3. One can clearly see layer-wise differences in gagCEST maps.
Conclusions
The new burst mode magnetization preparation 3D gagCEST method along with separate B
0 and B
1 inhomogeneity estimation and
correction, yielded reliable and reproducible high-quality gagCEST maps with clear visualization of knee cartilage layers. The longer repetition times between saturation pulses and elliptical-centric ordered segmented gradient echo (GRE) readout seems to maintain high
sensitivity, while in the steady-state method the CEST sensitivity was lower due to the use of very short repetition times between saturation pulses and the addition of a water saturation pulse to maintain constant initial magnetization.
Acknowledgements
This
project was supported by the National Institute of Biomedical Imaging and
Bioengineering of the National Institutes of Health through Grant Number
P41-EB015893 and the National Institute of Neurological Disorders and Stroke
through Award Number R01NS087516.References
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[2] Ling, W., et al., Assessment of glycosaminoglycan concentration in vivo by chemical exchange-dependent saturation transfer (gagCEST). Proceedings of the National Academy of Sciences, 2008. 105(7): p. 2266-2270.
[3] Singh, A., et al., Chemical exchange saturation transfer magnetic resonance imaging of human knee cartilage at 3 T and 7 T. Magnetic Resonance in Medicine, 2012. 68(2): p. 588-594.
[4] Kim, M., et al., Water saturation shift referencing (WASSR) for chemical exchange saturation transfer (CEST) experiments. Magnetic Resonance in Medicine, 2009. 61(6): p. 1441-1450.
[5] Benjamin Schmitt , D.B., Cartilage Quality Assessment by Using Glycosaminoglycan Chemical Exchange Saturation Transfer and 23Na MR Imaging at 7 T. Radiology, 2011. 260(1): p. 257-264.