A non-invasive technique for 3-dimensional assessment of articular cartilage thickness based on MRI part 2: Validation using CT arthrography

Haubner, Michael; Eckstein, F.; Schnier, Michael; Lösch, Andreas; Sittek, H.; Becker, Christoph; Kolem, H.; Reiser, Maximilian; Englmeier, Karl-Hans

doi:10.1016/s0730-725x(97)00011-8

Cited by 78 publications

(64 citation statements)

References 34 publications

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“…Semi-automated segmentation of the femur, tibia, medial anti lateral meniscus was performed based on a gray-value oriented region growing algorithm [21]. The segmentation time for each M R data set was approximately 45 rnin.…”

Section: Digitul Imuge Processingmentioning

confidence: 99%

Femoro‐tibial and menisco‐tibial translation patterns in patients with unilateral anterior cruciate ligament deficiency—a potential cause of secondary meniscal tears

Eisenhart-Rothe

Bringmann

Siebert

et al. 2004

Journal Orthopaedic Research

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Objectiur: To analyze menisco-tibia1 and femoro-tibia1 translation patterns in healthy and ACL-deficient knees in different knee flexion angles under muscle activity.Methods: The ACL-deficient and contralateral healthy knees of 10 patients were examined with an open MR system at 30" and 90" of knee flexion, under isometric contraction of the extensors or flexor muscle groups. Translations between the tibia, the femoral condyles and the menisci were analyzed by three-dimensional image postprocessing.Results: Posterior translation of the femur and menisci relative to the tibia occurred during knee flexion (30-90") in all knees. In ACL-deficient knees, posterior translation of the medial femoral condyle (+I .3 * 3.8 mm) was significantly larger than in healthy knee (-0.9 k 2.9 mm; p < 0.05), while the translation pattern of the menisci was similar (med. meniscus 0.6 f 2.3 mm vs. 0.6 2 2.7 mm). Under isometric contraction of the extensors (relative to the flexor muscle group), an increased posterior position of the femur and menisci was observed at 30" knee flexion, but not at 90". This applied to ACL-deficient and healthy knees.Conclusions: This study shows a significant increase of translation of the medial femoral condyle in ACL-deficient knees, whereas menisco-tibia1 translation remains almost unchanged. This difference in translation patterns indicates that the posterior horn of the medial meniscus might encounter shear, potentially explaining the high rate of secondary medial meniscal tears in patients with ACL-deficiency.

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Section: Digitul Imuge Processingmentioning

confidence: 99%

Femoro‐tibial and menisco‐tibial translation patterns in patients with unilateral anterior cruciate ligament deficiency—a potential cause of secondary meniscal tears

Eisenhart-Rothe

Bringmann

Siebert

et al. 2004

Journal Orthopaedic Research

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“…(17)(18)(19)(20)(21)(22)), less attention has been given to CT arthrography (6,18,23). Nevertheless, estimates of cartilage thickness determined via MRI image data are often validated by direct comparison with CT arthrography results (18,19), which may erroneously imply that CT arthrography is the reference standard for such estimations.…”

Section: Introductionmentioning

confidence: 99%

Cartilage Thickness: Factors Influencing Multidetector CT Measurements in a Phantom Study

Anderson¹,

Ellis²,

Peters³

et al. 2008

Radiology

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PURPOSE-To prospectively assess in a phantom the reconstruction errors and detection limits of cartilage thickness measurements from MDCT arthrography as a function of contrast agent concentration, imaging plane, spatial resolution, joint space and tube current, using known measurements as the reference standard.MATERIALS AND METHODS-A phantom with nine chambers was manufactured. Each chamber had a nylon cylinder encased by sleeves of aluminum and polycarbonate to simulate trabecular bone, cortical bone, and cartilage. Variations in simulated cartilage thickness and joint space were assessed. The phantom was scanned with and without contrast agent on three separate days, with chamber axes both perpendicular and parallel to the scanner axis. Images were reconstructed at intervals of both 1.0 and 0.5 mm. Contrast agent concentration and tube current were varied. Simulated cartilage thickness was determined from image segmentation. Root mean squared and mean residual errors were used to characterize the measurements. CT scanner and image segmentation reproducibility were determined. RESULTS-Simulated cartilage was reconstructed with < 10% error for thicknesses >1.0 mm when no contrast agent or a low concentration of contrast agent (25%) was used. Errors grew as concentration of contrast agent increased. Decreasing the simulated joint space to 0.5 mm caused slight increases in error; below 0.5 mm errors grew substantially. Measurements from anisotropic image data had errors greater than those for isotropic data. Altering tube current did not affect reconstruction errors. CONCLUSION-Our study establishes lower bounds and repeatability of simulated cartilage thickness measurement using MDCT arthrography, and provides data pertinent to choosing contrast agent concentration, joint spacing, scanning plane, and spatial resolution to reduce reconstruction errors.

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“…Previous studies have performed segmentation using a variety of techniques including: manual segmentation, 18,21,[29][30][31][32] seed point and region growing algorithms, [33][34][35] and edge detection followed by spline-based smoothing, 21 all of which have limitations in noisy images of thin cartilage layers of highly congruent joints. Fully manual surface extraction and segmentation 18,21,[29][30][31][32] is tedious, time consuming, and prone to subjective judgment.…”

Section: Introductionmentioning

confidence: 99%

Quantitative and topographical evaluation of ankle articular cartilage using high resolution MRI

Millington

Tang

et al. 2006

Journal Orthopaedic Research

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The objectives of this study were to quantitatively evaluate the articular cartilage layers of the ankle and describe the cartilage topographical distribution across the joint surfaces using high resolution MRI and image segmentation. An anisotropic diffusion noise reduction algorithm and a directional gradient vector flow (dGVF) snake segmentation algorithm were applied to cartilage sensitive MR images. Eight cadaveric ankles were studied. Six repeated data sets were acquired in five of the ankles. Quantitative parameters were calculated for each cartilage layer; coefficients of variation (CV) were calculated from the six repeated data sets; and 3D thickness distribution maps were generated. The noise reduction algorithm produced marked image enhancement. Mean cartilage thickness ranged from 0.91 AE 0.08 mm in the fibula to 1.34 AE 0.14 mm in the talus. Mean cartilage volume was 3.32 AE 0.55 ml, 1.72 AE 0.25 ml, and 0.35 AE 0.06 ml for the talus, tibia, and fibula, respectively. Mean CV ranged 2.82%-5.04% for quantitative parameters in the talus and tibia. The reported noise reduction and segmentation technique allow precise extraction of ankle cartilage and 3D reconstructions show that the thickest cartilage occurs over the talar shoulders, where osteochondritits dissecans (OCD) lesions commonly occur. ß

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A non-invasive technique for 3-dimensional assessment of articular cartilage thickness based on MRI part 2: Validation using CT arthrography

Cited by 78 publications

References 34 publications

Femoro‐tibial and menisco‐tibial translation patterns in patients with unilateral anterior cruciate ligament deficiency—a potential cause of secondary meniscal tears

Femoro‐tibial and menisco‐tibial translation patterns in patients with unilateral anterior cruciate ligament deficiency—a potential cause of secondary meniscal tears

Cartilage Thickness: Factors Influencing Multidetector CT Measurements in a Phantom Study

Quantitative and topographical evaluation of ankle articular cartilage using high resolution MRI

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