Azadeh Sharafi1, Marcelo V. W. Zibetti1, Gregory Chang1, Martijn A. Cloos1, and Ravinder R. Regatte1
1Radiology, NYU Langone Health, New York, NY, United States
Synopsis
Osteoarthritis of the knee, the most common
joint disease, is a degenerative heterogeneous musculoskeletal disease which is
mainly recognized by the progressive loss of hyaline articular cartilage (1). Spin-lattice
relaxation in the rotating frame (T1ρ) and spin-spin relaxation (T2)
have been shown to be sensitive to the biochemical changes associated with osteoarthritis
progression including: loss of proteoglycans, increased water content, and disruption
of collagen and anisotropy (1, 2). In this study, we propose a novel MR fingerprinting sequence for in-vivo
simultaneous T1, T2, and T1ρ relaxation
mapping of knee joint at 3T.
Purpose
To develop a novel MR-fingerprinting
pulse sequence for simultaneous T1, T2, and T1ρ
relaxation mapping with radial volumetric encoding and to evaluate the multi-parametric
mapping of knee joint in healthy controls and patients with mild knee OA.Methods
We developed an MRF-sequence based on the method described
in (3)
to estimate, T1, T2, and T1ρ in less than 8
minutes. Similar to a previous design (3),
the proposed MRF-sequence started with an adiabatic inversion pulse followed by
two fast imaging with steady‐state precession (FISP) segments, which
predominantly encode T1/T2, and two fast low‐angle shot
(FLASH) segments, which encode T1 and B1+ (Figure 1).
Each segment contains 250 radiofrequency (RF) excitations with a timebandwidth
product of three. There was a delay equal to 50 repetition times (TRs) between
segments for partial recovery of the magnetization and enhancing T1 encoding.
The peak flip angle for this part was 60°(3).
To encode the T1ρ, N =
6 paired self-compensated spin-lock preparation modules (4)
with different spin-lock duration (tsl = 2.0, 3.7, 6.9, 12.9,
24.1, 45ms ) were added at the end of the train. Each of the preparation
modules was followed by a FLASH segment with 125 RF excitations. The peak flip
angle for the T1ρ train was 20° (Figure 1).
Test-retest scans were performed on 3T MRI scanner (MAGNETOM Prisma,
Siemens Healthcare GmbH, Germany) using a phantom including 3 %, 4%, and 8% agar samples and crosslinked bovine
serum albumin (BSA) to asses the
repeatability of the method. In addition, the MRF sequence was also tested on
another 3T MRI scanner (MAGNETOM Skyra, Siemens Healthcare GmbH, Germany) to evaluate
the reproducibility.
Afterward,
IRB-approved MRF imaging was performed on seven healthy volunteers (mean age: 38 ± 12
years) and five patients with mild knee OA (MOA) (KL score 1-2, mean age: 63 ± 5
years) using a 15 channel Rx/Tx knee coil (Quality Electrodynamics [QED], Mayville, OH). Six sagittal images were
acquired with 0.6×0.6mm2 in-plane resolution, 4.0mm slice thickness,
224×224 matrix size, TE/TR = 3.5/7.5ms, BW = 420Hz/pixel, number of
shots = 4 spin-power fsl = 500Hz. The
Acquisition time was 7:06min.Results
Figure 2 shows the
representative T1, T2, T1ρ relaxation, and B1
maps of the model agar-gel phantoms. Analysis
of the Bland-Altman plot demonstrated an average difference of 4.67ms, -0.09ms,
and 0.05ms between two scans in the same scanner and 9.68ms, 0.29ms, and
-0.72ms between the scans acquired on two scanners for T1, T2, and T1ρ (Figure. 3), respectively. The representative
maps of the knee joint (medial and lateral cartilages) for
control and MOA patient are shown in Figure 4. The boxplot comparisons of three
relaxation parameters between control and MOA patients are shown in Figure 5. The Wilcoxon test showed a significant
difference between control and MOA patients for T1 (p =
0.04), T2 (p =
0.01), and T1ρ (p =
0.02) relaxation parameters in medial tibial cartilage
(MTC) as well as for T2 relaxation time (p =
0.02) in medial femoral cartilage (MFC).Discussion and Conclusion
In this work, we implemented
an MRF sequence and showed the feasibility of rapid simultaneous acquisition of
accurate PD, T1, T2, and T1ρ maps of the human
knee joint. The proposed MRF method is fast, reproducible, and robust to B1
inhomogeneity. The current proposed method uses offline reconstruction and
dictionary matching since it is computationally costly and memory consuming.
Fast reconstruction and matching methods are under investigation. Nevertheless, the in-vivo results showed
that it could discriminate the mild OA patients from the healthy controls and
hence has the potential to be used for the quantitative assessment of the
cartilage for the early detection of OA.Acknowledgements
This study was supported by NIH grants
R01 AR067156, and R01 AR068966, and was performed under the
rubric of the Center of Advanced Imaging Innovation and Research (CAI2R), a
NIBIB Biomedical Technology Resource Center (NIH P41 EB017183).References
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