Diffraction-enhanced X-ray imaging of articular cartilage

Mollenhauer, J.; Aurich, Matthias; Zhong, Z.; Muehleman, Carol; Cole, Ada A.; Hasnah, M.; Oltulu, Oral; Kuettner, Klaus E.; Margulis, Arkady; Chapman, L. D.

doi:10.1053/joca.2001.0496

Cited by 138 publications

(120 citation statements)

References 22 publications

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“…PCI has been previously demonstrated as a promising image acquisition modality for visualizing structural details of the cartilage matrix with high spatial resolution [12][13][14]. Coan et al acquired PCI-CT images of human knee patellae and reported differences between chondrocyte organization in the radial zone of normal and osteoarthritic cartilage matrix [14].…”

Section: Discussionmentioning

confidence: 99%

“…The phase-contrast effect associated with such refraction can be more pronounced than conventional absorption contrast, specifically for the energy range of X-rays used in diagnostic modalities, and for soft tissue types encountered in clinical practice [9]. This allows PCI to be effective in imaging tissue types where conventional absorption contrast is insufficient for soft tissue characterization, notably in breast [10,11] and cartilage imaging [5,[12][13][14]. Among the different PCI techniques, we specifically focus on the analyzer-based imaging (ABI) method [8,15,16], which has been applied in both ex vivo and in vivo cartilage studies and demonstrated greatly improved cartilage visualization [14,17].…”

Section: Introductionmentioning

confidence: 99%

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Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features

et al. 2013

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Phase-contrast computed tomography (PCI-CT) has shown tremendous potential as an imaging modality for visualizing human cartilage with high spatial resolution. Previous studies have demonstrated the ability of PCI-CT to visualize (1) structural details of the human patellar cartilage matrix and (2) changes to chondrocyte organization induced by osteoarthritis. This study investigates the use of highdimensional geometric features in characterizing such chondrocyte patterns in the presence or absence of osteoarthritic damage. Geometrical features derived from the scaling index method (SIM) and statistical features derived from gray-level co-occurrence matrices were extracted from 842 regions of interest (ROI) annotated on PCI-CT images of ex vivo human patellar cartilage specimens. These features were subsequently used in a machine learning task with support vector regression to classify ROIs as healthy or osteoarthritic; classification performance was evaluated using the area under the receiveroperating characteristic curve (AUC). SIM-derived geometrical features exhibited the best classification performance (AUC, 0.95±0.06) and were most robust to changes in ROI size. These results suggest that such geometrical features can provide a detailed characterization of the chondrocyte organization in the cartilage matrix in an automated and nonsubjective manner, while also enabling classification of cartilage as healthy or osteoarthritic with high accuracy. Such features could potentially serve as imaging markers for evaluating osteoarthritis progression and its response to different therapeutic intervention strategies.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features

et al. 2013

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“…Such methods have been used on cartilage before, often on thicker human cartilage samples [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Synchrotron- and laboratory-based X-ray phase-contrast imaging for imaging mouse articular cartilage in the absence of radiopaque contrast agents

Marenzana

Hagen²,

Borges

et al. 2014

Phil. Trans. R. Soc. A.

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“…Quantitative assessment of the softening of artC is of vital importance for preventing OA and evaluating the progress of cartilage regeneration. Various kinds of non-invasive imaging techniques, including diffraction-enhanced x-ray (Mollenhauer et al 2002), microscopic MRI (Xia et al 2001) and ultrasound (US) (Zheng et al 2001), have been emerged to provide visual diagnosis of artC in the past decade. However, these techniques are not able to indicate the early degeneration of artC.…”

Section: Introductionmentioning

confidence: 99%

Strain Dependence of Ultrasound Speed in Bovine Articular Cartilage Under Compression In Vitro

Ling

Zheng

Patil

2007

Ultrasound in Medicine & Biology

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The change of the ultrasound (US) speed in articular cartilage (artC) under applied strain conditions may induce some measurement errors of the mechanical properties of the artC during both indentation and compression tests using US. In this paper, the strain dependence of the US speed in bovine artC (n = 20) under compression in vitro was investigated by virtue of using a custom-made US-compression testing system. The US speeds of the artC at the instant after the compression and that after a period of stressrelaxation were estimated under the applied strain ranged from 0 % to 20 %. Moreover, the instantaneous modulus and the modulus after the stress-relaxation of the artC were measured and correlated with the US speeds. There was no significant difference (p > 0.05) between the US speeds at the instant after the compression and that after the stressrelaxation, even though there was a discrepancy between the instantaneous modulus and the modulus after stress-relaxation. The US speed was found to be highly correlated to the applied strain (r 2 = 0.98, p < 0.001) in a quadratic relation and changed by 7.8 % (from 1581 ± 36 m/s to 1671 ± 56 m/s) when the applied strain reached 20 %. The results revealed that the strain dependent effect on the US speed in artC should be considered when the US is deployed for the assessment of artC using the compression or indentation test.

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Diffraction-enhanced X-ray imaging of articular cartilage

Cited by 138 publications

References 22 publications

Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features

Computer-Aided Diagnosis for Phase-Contrast X-ray Computed Tomography: Quantitative Characterization of Human Patellar Cartilage with High-Dimensional Geometric Features

Synchrotron- and laboratory-based X-ray phase-contrast imaging for imaging mouse articular cartilage in the absence of radiopaque contrast agents

Strain Dependence of Ultrasound Speed in Bovine Articular Cartilage Under Compression In Vitro

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