Nian Wang1, Anthony J. Mirando2, Gary Cofer1, Yi Qi1, Matthew J. Hilton2, and G. Allan Johnson1
1Department of Radiology, Duke University, Durham, NC, United States, 2Department of Orthopaedic Surgery, Duke University, Durham, NC, United States
Synopsis
Using high-order diffusion tractography to map
the complex collagen fibril structures in knee joint is still challenging, due
to the limited spatial resolution, low angular resolution, and low
signal-to-noise (SNR). The complex fiber distributions in different connective
tissues in knee joint were investigated using high resolution diffusion
imaging.
Purpose
To evaluate the complex fiber orientations and three-dimensional
collagen fiber network of knee joint connective tissues, including ligaments,
muscle, articular cartilage, and meniscus using high spatial and angular
resolution diffusion imaging.Introduction
DTI tractography has been used to detect the integrity of individual connective tissues, such as Achilles tendon, growth plate, and anterior cruciate ligament (ACL) graft in clinical scanners1,2. Tractography of the articular cartilage in rat knee joint has also been reported with DTI at microscopic resolution3. However, a significant limitation of DTI is that it can only resolve the single fiber direction within each voxel and fails to accurately represent the complex architecture of crossing fibers4.Methods
All animal preparation protocols were
approved by the local institutional animal
care and use committee. Two knee
joints were harvested shortly after sacrifice from two mature, healthy rats. The
specimens were scanned at 9.4 T Oxford 8.9-cm vertical bore magnet. A modified 3D Stejskal-Tanner
diffusion-weighted spin-echo pulse sequence was used with compressed sensing at
4 times reduction along the phase dimensions. A single-shell scan protocol was
used in the current study: matrix size = 400 × 256 × 256, FOV = 18 × 11.52 ×
11.52 mm3, 45 µm
isotropic spatial resolution, TE = 9.1 ms, TR = 100 ms, 147 unique
diffusion directions with b value of 1000 s/mm2 and 15
non-diffusion-weighted (b0) measurements. The scan time was about 73.4 hours.
The gradient separation time was 4.6 ms and the diffusion gradient duration
time was 2.5 ms. The construction of the under sampled k-space data has been reported
previously5. The DTI model was used
to characterize the primary diffusion direction of the fiber in different
connective tissues of knee. The scalar indices including fractional anisotropy
(FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity
(RD) were also calculated. The GQI method was used to quantify the diffusing
water at different orientations6.Results
Figure 1 illustrates the representative DTI
metrics (a-d) images, b0 image (f), and GQI metrics (e, g, h) images at both
high spatial and angular resolution. The image intensity variations of different connective
tissues are apparent in the b0 image (f), where posterior cruciate ligament
(PCL) exhibits lower signal intensity than muscle, growth plate, and cartilage
(white arrows, f). Compared to PCL (green arrow, a), the FA values are lower in
muscle, growth plate, and articular cartilage (red arrows, a). In contrast, the
MD values are higher in muscle, growth plate, and articular cartilage (red
arrows, b) than PCL (green arrow, b). Figure 2 shows the FA, MD, and SNR of
different connective tissues, including cartilage, meniscus, ACL, PCL, and
muscle. These values are derived from the ROIs delineated in the b0 images (a-e)
by different colors. The meniscus and ligaments have higher FA values than
muscle and cartilage, while muscle and cartilage show higher MD values than
meniscus and ligaments. Figure 3 shows the DWI images (a, f), fiber orientation
images (b-c, g-h), and the corresponding tractography results (d-e, i-j) of ACL
and muscle. The fiber orientations derived from GQI and DTI are visually
consistent in both ACL and muscle, where few crossing fibers can be observed.
Figure 4 depicts the DWI images (a, f), fiber orientation images (b-c, g-h),
and the corresponding tractography results (d-e, i-j) of meniscus and articular
cartilage. Compared to DTI, there are numerous crossing fibers existing in
meniscus using GQI (b). Crossing fibers are also explicit in SZ and TZ of
articular cartilage by GQI (g), but minimal in RZ. The tractography in
articular cartilage by GQI also demonstrates more intact tracts than DTI
(yellow arrows, i-j), which is similar to the tractography results found in
meniscus. Figure 5 illustrates the Alcian blue/Picrosirius red stain (a, c) and
PLM images (b, d) of ACL and articular cartilage. The collagen fiber
orientation in ACL is relatively uniform, which is consistent with tractography
findings. The orthogonal collagen fiber orientations are found between the SZ
and RZ in cartilage, which agrees with the previous tractography results.Discussion
The tractography results were comparable between DTI model and GQI method
in ligament and muscle. However, the tractography exhibited apparent difference
between DTI and GQI in connective tissues with more complex collagen fibers
network, such as cartilage and meniscus. This study demonstrated that high spatial and
angular resolution diffusion imaging with the GQI model can nondestructively
characterize the complex collagen fiber orientations and architectures of
articular cartilage and meniscus at microscopic resolution. Conclusion
High resolution diffusion imaging with GQI method can trace the complex
collagen fiber orientations and architectures of the knee joint at microscopic
resolution, which can be valuable in models being developed to understand the
complex biomechanics of knee.Acknowledgements
This work was supported by the NIH/NIBIB P41 EB015897, NIH 1S10OD010683-01, NIH 1R01NS096720-01A1,
5R01AR063071-07, and Charles E.
Putman MD Vision Award of the Department of Radiology, Duke University School
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