Azadeh Sharafi1, Ding Xia1, Gregory Chang 1, and Ravinder Regatte1
1Radiology, New York University, School of Medicine, New York, NY, United States
Synopsis
In
this study, we demonstrated the feasibility of in-vivo biexponential T1ρ and T2
relaxation measurement of knee articular cartilage using 3T MRI in clinically
feasible scan times in eight healthy volunteers. Our preliminary results demonstrate
that the biexponential model better represents
the relaxation behavior in articular cartilage and can be used to distinguish
different water compartments associated with macromolecules (tightly bound and
loosely bound water) in the cartilage.
Purpose
Osteoarthritis
(OA) is a degenerative disease that is associated with the loss of
proteoglycans, changes in collagen structure
and increase of water content1 in its early stages. The change in
the biochemistry of cartilage and increase in water content due to OA lead to
elevated T1ρ and T2 times1-2. Different water compartments in the cartilage tissue
may be better represented by biexponential fitting than monoexponential model.
The purpose of this work is to investigate the feasibility of in-vivo
biexponential analysis of T1ρ and T2 relaxation times of
articular cartilage in the human knee joint using 3T MRI in clinically feasible
scan times.Methods
IRB
-approved T1ρ and T2 imaging were performed on eight
healthy volunteers (mean age: 30 ± 4 years) using a 3T MRI scanner (Prisma,
Siemens Healthcare, Germany) with a 15-channel Tx/Rx knee coil (QED, Cleveland
OH). A 3D Cartesian turbo-Flash sequence was customized to enable T1ρ
and T2 imaging with varying spin-lock and echo time respectively. To
compensate the effect of B0 and B1 inhomogeneities, the
spin-lock pulse was divided into four segments with alternative phase and a
refocusing pulse was applied between two pairs. T1ρ and T2
weighted images were acquired at 10 different TSLs/TEs:
2/4/6/8/10/15/25/35/45/55ms. The sequence acquisition parameters were as
follows: TR/TE 1500ms/4ms, flip angle 8°, matrix size 256×128×64,
spin-lock frequency=500Hz, slice thickness = 2ms, FOV = 140mm2.
Using The GRAPPA3 parallel imaging method with the
acceleration factor of AF = 3 the total acquisition time was decreased to 15
minutes for each 3D data set.
T1ρ and T2 relaxation times were calculated pixel
by pixel over five consecutive slices for each volunteer using mono- and
biexponential model (Fig. 1) in different regions of interests: medial-tibia
(MT), medial-femoral (MF), lateral-femoral (LF), lateral-tibia (LT), and
Patellar (P) cartilages Results
Biexponential relaxation of T1ρ
and T2 were detected in the knee cartilage in five regions of
interest on all eight healthy volunteers (Fig. 2). Short/long relaxation
components of T1ρ and T2 were estimated to be 6.87±1.17
ms/51.08±4.49ms and 8.27±0.68 ms/45.35±3.79ms, respectively. Similarly, the
fractions of short/long T1ρ and T2 were 37.6 ± 1.5 %/62.4
± 6.8% and 41.3±1.1 %/58.6±4.6% respectively. The monoexponential relaxation of
T1ρ and T2 were measured to be 32.62±3.53ms and 26.9±2.27ms,
respectively . The experiments showed
good repeatability with rms-CV < 20% for both T1ρ and T2
in all regions. The statistical analysis
showed that the mono-exponential T1ρ was significantly higher (P
< 0.001) than T2 across all regions. Significant differences were
observed between medial-tibial and patellar cartilage for monoexponential T1ρ
(P = 0.02) as well as mono- (P= 0.02) and biexponential T2
(T2long, P = 0.01, T2short, P=0.04). The
biexponential T2 components were also significantly different in
medial-tibial and lateral-tibial cartilage (P = 0.025).Discussion and Conclusion
The short relaxation component is related
to the tightly bound macromolecular (PG and collagen) water compartments while the
long component is related to the loosely bound macromolecular water. The
results of our experiments showed that the biexponential fitting may better
distinguish the different relaxation times in the cartilage (Fig. 3). The
smaller slice thickness and extra temporal points with longer scan times of our
study in comparison to the other prior studies lead to a more accurate
estimation of T1ρ and T2. Acknowledgements
This study was supported by NIH grants R01-AR060238, 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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and Cartilage 2007, 15 (7), 789-797.
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