Ultrasonic Measurement of Depth-Dependent Strains of Articular Cartilage in Compression

Zheng, YP; Mak, Arthur F.T.; Lau, Kin-tak

doi:10.1007/978-1-4419-8606-1_15

Cited by 12 publications

(27 citation statements)

References 16 publications

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“…Osteochondral cylinders were cored out from the flat area of each patella AC using a metal 7 punch with a diameter of 6.35 mm (1/4 inch). An AC specimen with a bone layer approximately 8 0.1~0.2 mm thick was prepared from the cylinders using a low speed diamond saw to cut away the 9 bulk of the bone (Zheng et al 2002). In comparison with the average AC thickness of approximately 10 1.5 mm, this bone layer was quite thin.…”

Section: Specimen Preparationmentioning

confidence: 99%

“…without the presence of the specimen. A cross-correlation algorithm was used to track the 27 movements of the selected echoes during compression (Zheng et al 2002). The number, position 28 and width of the tracking windows (Figures 2c and 2d) could be freely adjusted.…”

Section: Ultrasound Elastomicroscopy System and Data Acquisition 25mentioning

confidence: 99%

“…27 Elastography of artery walls has been reported using intravascular ultrasound backscattered 28 signals (~30 MHz) obtained while cyclic blood pressure applied a temporally varying loading 29 source on the vessel (de Korte et al 1997Korte et al , 2002. In other tissues, requiring an external compression 30 source, attempts have been made to acquire high frequency (50 MHz) ultrasound signals while 1 squeezing tissue through a slit (2.6mm in width) in a compressor (Cohn et al 1997a, b using a probe with an in-series ultrasound transducer (frequency ranged from 5 to 15 MHz) and a 8 load sensor, Zheng and coworkers have developed a number of systems for ,mapping one-9 dimensional mechanical properties of articular cartilage (AC) using high frequency ultrasound (20 10 to 50 MHz) (Zheng et al 1998(Zheng et al , 2001(Zheng et al , 2002(Zheng et al , 2003. The 2D high-frequency ultrasound elastography 11 using axial compression has only been described in theory or using computer simulation in the 12 literature (Konofagou et al 2001, Righetti et al 2002, 2003.…”

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confidence: 99%

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High resolution ultrasound elastomicroscopy imaging of soft tissues: system development and feasibility

Zheng¹,

Bridal²,

Saied³

et al. 2004

Phys. Med. Biol.

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8Research in elasticity imaging typically relies on 1 to 10 MHz ultrasound. Elasticity imaging 9 at these frequencies can provide strain maps with a resolution in the order of millimeters, but this is 10 not sufficient for applications to skin, articular cartilage, or other fine structures. We developed a 11 prototype high resolution elastomicroscopy system consisting of a 50 MHz ultrasound backscatter 12 microscope system and a calibrated compression device using a load cell to measure the pressure 13 applied on the specimen, which was installed between a rigidly fixed face-plate and a specimen 14 platform. Radiofrequency data were acquired in a B-scan format (10 mm wide by 3 mm deep) in 15 specimens of mouse skin and bovine patellar cartilage. The scanning resolution along the B-scan 16 plane direction was 50 µm, and the ultrasound signals were digitized at 500 MHz to achieve a 17 sensitivity of better than 1 µm for the axial displacement measurement. Because of elevated 18 attenuation of ultrasound at high frequencies, special consideration was necessary to design a face-19 plate permitting efficient ultrasound transmission into the specimen and relative uniformity of the 20 compression. Best results were obtained using a thin plastic film to cover a specially shaped slit in 21 the face-plate. Local tissue strain maps were constructed by applying a cross-correlation tracking 22 method to signals obtained at the same site at different compression levels. The speed of sound in 23 the tissue specimen (1589.8 ± 7.8 m/s for cartilage and 1532.4 ± 4.4 m/s for skin) was 24 simultaneously measured during the compression test. Preliminary results demonstrated that this 25 ultrasound elastomicroscopy technique was able to map deformations of the skin and articular 26 cartilage specimens to high resolution, in the order of 50 µm. This system can also be potentially 27 used for the assessment of other biological tissues, bioengineered tissues or biomaterials with fine 28 structures. 29 3

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Section: Specimen Preparationmentioning

confidence: 99%

Section: Ultrasound Elastomicroscopy System and Data Acquisition 25mentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

High resolution ultrasound elastomicroscopy imaging of soft tissues: system development and feasibility

Zheng¹,

Bridal²,

Saied³

et al. 2004

Phys. Med. Biol.

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show abstract

“…Using this configuration, the lateral tissue displacements 4 in one direction were mapped under an axial compression. Based on the ultrasound 5 indentation technique [19][20][21][22] using a probe with an in-series ultrasound transducer 6 (frequency ranged from 5 to 15 MHz) and a load sensor, Zheng and coworkers have 7 developed a number of systems for, mapping one-dimensional mechanical properties of 8 articular cartilage (AC) using high frequency ultrasound (20 to 50 MHz) [23][24][25]. The 2D 9 high-frequency ultrasound elasticity imaging has only been described in theory or using 10 computer simulation in the literature [26][27] because how to properly loading on the 11 tissue samples remains as a problem.…”

Section: Introductionmentioning

confidence: 99%

“…Experimental results on both gel phantoms and bovine 21 articular cartilage were provided and discussed. 22 deformation of the specimen under water jet indentation was estimated from the 23 ultrasound echoes using a cross-correlation algorithm [24]. The modulus was calculated 1 from the water pressure and the deformation as well as the thickness.…”

Section: Introductionmentioning

confidence: 99%

Ultrasound elastomicroscopy using water jet and osmosis loading: Potentials for assessment for articular cartilage

2006

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Research in elasticity imaging typically relies on 1 to 10 MHz ultrasound. 10 Elasticity imaging at these frequencies can provide strain maps with a resolution in the 11 order of millimeters, but this is not sufficient for applications to skin, articular cartilage, 12 or other fine structures. In this paper, we introduced two methods of noncontact 13 ultrasound elastomicroscopy for imaging the elasticity of biological soft tissues with high 14 resolutions. In the first system, the specimens were compressed using water jet 15 compression. A water jet was used to couple a focused 20 MHz ultrasound beam into the 16 specimen and meanwhile served as a "soft" indenter. Because there was no additional 17 attenuation when propagating from the ultrasound transducer to the specimen, the 18 ultrasound signal with high signal-to-noise ratio could be collected from the specimens 19 simultaneously with compressing process. The compression was achieved by adjusting 20 the water flow. The pressure measured inside the water pipe and that on the specimen 21 surface was calibrated. This system was easily to apply C-scan over sample surfaces. 22Experiments on the phantoms showed that this water jet indentation method was reliable 23 to map the tissue stiffness distribution. Results of 1D and 2D scanning on phantoms with 24 different stiffness are reported. In the second system, we used osmotic pressure caused by 25 the ion concentration change in the bathing solutions for the articular cartilage to deform 26 them. When bovine articular cartilage specimens were immerged in solutions with 27 different salt concentration, a 50 MHz focused ultrasound beam was used to monitor the 28 dynamic swelling or shrinkage process. Results showed that the system could reliably 29 map the strain distribution induced by the osmotic loading. We extract intrinsic layered 30 material parameters of the articular cartilage using a triphasic model. In addition to 31 biological tissues, these systems have potential applications for the assessment of 32 bioengineered tissues, biomaterials with fine structures, or some engineering materials. 33Further studies are necessary to fully realize the potentials of these two new methods. 34 35

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A new method for computing the uniaxial modulus of articular cartilages using modified inhomogeneous triphasic model

et al. 2009

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It is well known that subtle changes in structure and tissue composition of articular cartilage can lead to its degeneration. The present paper puts forward a modified layered inhomogeneous triphasic model with four parameters based on the inhomogeneous triphasic model proposed by Narmoneva et al. Incorporating a piecewise fitting optimization criterion, the new model was used to obtain the uniaxial modulus Ha, and predict swelling pattern for the articular cartilage based on ultrasound-measured swelling strain data. The results show that the new method can be used to provide more accurate estimation on the uniaxial modulus than the inhomogeneous triphasic model with three parameters and the homogeneous mode, and predict effectively the swelling strains of highly nonuniform distribution of degenerated articular cartilages. This study can provide supplementary information for exploring mechanical and material properties of the cartilage, and thus be helpful for the diagnosis of osteoarthritis-related diseases.

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Ultrasonic Measurement of Depth-Dependent Strains of Articular Cartilage in Compression

Cited by 12 publications

References 16 publications

High resolution ultrasound elastomicroscopy imaging of soft tissues: system development and feasibility

High resolution ultrasound elastomicroscopy imaging of soft tissues: system development and feasibility

Ultrasound elastomicroscopy using water jet and osmosis loading: Potentials for assessment for articular cartilage

A new method for computing the uniaxial modulus of articular cartilages using modified inhomogeneous triphasic model

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