A robust diffusion tensor model for clinical applications of MRI to cartilage

Ferizi, Uran; Ruiz, Amparo; Rossi, Ignacio; Bencardino, Jenny T.; Raya, José G.

doi:10.1002/mrm.26702

Cited by 7 publications

(5 citation statements)

References 46 publications

(56 reference statements)

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“…[8; 28; 29; 31; 33; 40] The selection of a sub-optimal b-value was dictated by necessity for adequate SNR (>10) in the diffusion-weighted images. A SNR of 10 in the diffusion-weighted images with 6 diffusion-directions can provide accurate cartilage-plate estimates, [25] although it can be insufficient for more accurate pixel-wise comparisons, especially for the FA, which is more sensitive to noise. The use of a much higher through-plane than in-plane resolution is a common practice in the field of quantitative imaging biomarkers of articular cartilage and can result in partial-volume effects.…”

Section: Discussionmentioning

confidence: 99%

“…MD and FA were calculated using custom routines from the motion-corrected diffusionweighted images. [25] The impact in MD and FA of each processing step was assessed through the average MD and FA values of the medial femorotibial compartment of healthy (n=5, KL 0) and OA KL 2 subjects (n=6) without correction, after motion correction, and after motion correction plus registration.…”

Section: Image Processingmentioning

confidence: 99%

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Diffusion tensor imaging of articular cartilage using a navigated radial imaging spin-echo diffusion (RAISED) sequence

et al. 2018

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Objective: To validate a radial imaging spin-echo diffusion tensor (RAISED) sequence for highresolution diffusion tensor imaging (DTI) of articular cartilage at 3 T. Methods: The RAISED sequence implementation is described, including the used non-linear motion correction algorithm. The robustness to eddy currents was tested on phantoms, and accuracy of measurement was assessed with measurements of temperature-dependent diffusion of free water. Motion correction was validated by comparing RAISED with single-shot diffusionweighted echo-planar imaging (EPI) measures. DTI was acquired in asymptomatic subjects (n=6) and subjects with doubtful (Kellgren-Lawrence [KL] grade 1, n=9) and mild (KL=2, n=9) symptomatic knee osteoarthritis (OA). MD and FA values without correction, and after all corrections were calculated. A test-retest evaluation of the DTI acquisition on 3 asymptomatic and 3 OA subjects was also performed. Results: The root-mean-squared coefficient of variation of the global test-retest reproducibility was 3.54% for MD and 5.34% for FA. MD was significantly increased in both femoral condyles

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Section: Discussionmentioning

confidence: 99%

Section: Image Processingmentioning

confidence: 99%

Diffusion tensor imaging of articular cartilage using a navigated radial imaging spin-echo diffusion (RAISED) sequence

et al. 2018

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“…This study has some limitations. First, many more IVIM-DTI models could be considered for data analysis (e.g., using four-parameter instead of six-parameter tensors 55 ). In addition, we restricted IVIM fitting to a simple step-wise ("segmented") algorithm with a fixed threshold to differentiate between slow and fast diffusion components.…”

Section: Discussionmentioning

confidence: 99%

Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

et al. 2023

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The acquisition of intravoxel incoherent motion (IVIM) data and diffusion tensor imaging (DTI) data from the brain can be integrated into a single measurement, which offers the possibility to determine orientation‐dependent (tensorial) perfusion parameters in addition to established IVIM and DTI parameters. The purpose of this study was to evaluate the feasibility of such a protocol with a clinically feasible scan time below 6 min and to use a model‐selection approach to find a set of DTI and IVIM tensor parameters that most adequately describes the acquired data. Diffusion‐weighted images of the brain were acquired at 3 T in 20 elderly participants with cerebral small vessel disease using a multiband echoplanar imaging sequence with 15 b‐values between 0 and 1000 s/mm2 and six non‐collinear diffusion gradient directions for each b‐value. Seven different IVIM‐diffusion models with 4 to 14 parameters were implemented, which modeled diffusion and pseudo‐diffusion as scalar or tensor quantities. The models were compared with respect to their fitting performance based on the goodness of fit (sum of squared fit residuals, chi2) and their Akaike weights (calculated from the corrected Akaike information criterion). Lowest chi2 values were found using the model with the largest number of model parameters. However, significantly highest Akaike weights indicating the most appropriate models for the acquired data were found with a nine‐parameter IVIM–DTI model (with isotropic perfusion modeling) in normal‐appearing white matter (NAWM), and with an 11‐parameter model (IVIM–DTI with additional pseudo‐diffusion anisotropy) in white matter with hyperintensities (WMH) and in gray matter (GM). The latter model allowed for the additional calculation of the fractional anisotropy of the pseudo‐diffusion tensor (with a median value of 0.45 in NAWM, 0.23 in WMH, and 0.36 in GM), which is not accessible with the usually performed IVIM acquisitions based on three orthogonal diffusion‐gradient directions.

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“…Besides using the measurement setup described here, other possibilities for determining the collagen fiber orientation of articular cartilage exist. Significant advances in diffusion imaging, especially diffusion tensor imaging (DTI) have been made (Raya et al 2013, Ferizi et al 2018. Using high angular resolution DTI and tractography algorithms allows reliable mapping of the collagen fiber network and producing quantitative parameters which can also potentially be linked to cartilage degeneration (Ferizi et al 2017, Wang et al 2019.…”

Section: Discussionmentioning

confidence: 99%

T ₂ orientation anisotropy mapping of articular cartilage using qMRI

2023

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Objective: To provide orientation-independent MR parameters potentially sensitive to articular cartilage degeneration by measuring isotropic and anisotropic components of T2 relaxation, as well as 3-D fiber orientation angle and anisotropy via multi-orientation MR scans.Approach: Seven bovine osteochondral plugs were scanned with a high angular resolution of thirty-seven orientations spanning 180° at 9.4 T. The obtained data was fitted to the magic angle model of anisotropic T2 relaxation to produce pixel-wise maps of the parameters of interest. Quantitative Polarized Light Microscopy (qPLM) was used as a reference method for the anisotropy and fiber orientation.Main results: The number of scanned orientations was found to be sufficient for estimating both fiber orientation and anisotropy maps. The relaxation anisotropy maps demonstrated a high correspondence with qPLM reference measurements of the collagen anisotropy of the samples. The scans also enabled calculating orientation-independent T2 maps. Little spatial variation was observed in the isotropic component of T2 while the anisotropic component was much faster in the deep radial zone of cartilage. The estimated fiber orientation spanned the expected 0° to 90° in samples that had a sufficiently thick superficial layer. The orientation-independent MRI measures can potentially reflect the true properties of articular cartilage more precisely and robustly.Significance: The methods presented in this study will likely improve the specificity of cartilage qMRI by allowing the assessment of the physical properties such as orientation and anisotropy of collagen fibers in articular cartilage.

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A robust diffusion tensor model for clinical applications of MRI to cartilage

Abstract: The zeppelin is more robust than the full DT for cartilage diffusion anisotropy and SNR at levels typically encountered in clinical applications of articular cartilage. Magn Reson Med 79:1157-1164, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Cited by 7 publications

References 46 publications

Diffusion tensor imaging of articular cartilage using a navigated radial imaging spin-echo diffusion (RAISED) sequence

Diffusion tensor imaging of articular cartilage using a navigated radial imaging spin-echo diffusion (RAISED) sequence

Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

T ₂ orientation anisotropy mapping of articular cartilage using qMRI

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A robust diffusion tensor model for clinical applications of MRI to cartilage

Abstract: The zeppelin is more robust than the full DT for cartilage diffusion anisotropy and SNR at levels typically encountered in clinical applications of articular cartilage. Magn Reson Med 79:1157-1164, 2018. © 2017 International Society for Magnetic Resonance in Medicine.

Cited by 7 publications

References 46 publications

Diffusion tensor imaging of articular cartilage using a navigated radial imaging spin-echo diffusion (RAISED) sequence

Diffusion tensor imaging of articular cartilage using a navigated radial imaging spin-echo diffusion (RAISED) sequence

Integrated intravoxel incoherent motion tensor and diffusion tensor brain MRI in a single fast acquisition

T 2 orientation anisotropy mapping of articular cartilage using qMRI

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T ₂ orientation anisotropy mapping of articular cartilage using qMRI