Optical palpation: optical coherence tomography-based tactile imaging using a compliant sensor

Kennedy, Kelsey M.; Es'haghian, Shaghayegh; Chin, Lixin; McLaughlin, Robert A.; Sampson, David D.; Kennedy, Brendan F.

doi:10.1364/ol.39.003014

Cited by 97 publications

(88 citation statements)

References 17 publications

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“…Additionally, we performed averaging with a kernel size of 30 µm in the x, y and z directions in the micro-elastogram images presented here, which further reduces the lateral and axial resolution of our results. Furthermore, the incompressibility of the silicone material used to fabricate layers can also affect the ability to resolve feature boundaries, especially at depth, as seen in our previous studies [22,23,25,38], and here as a loss of sharpness at feature edges of the inclusion in the micro-elastogram image in Fig. 2(c) compared with the sharper edges of the inclusion in the B-scan OCT image in Fig.…”

Section: Discussionmentioning

confidence: 71%

“…The change in thickness of the layer is used to infer the distribution of axial stress across the compliant layer-skin interface [22]. Under the assumption that the stress at each lateral position is uniform with depth and is uniaxial [28], dividing the stress at the skin surface by the local, axial strain in the tissue volume provides an estimate of the elasticity of skin.…”

Section: Quantitative Micro-elastographymentioning

confidence: 99%

“…The strain in the compliant layer brought about by the preload, which we refer to as the bulk strain, ( , ) bulk x y ε , is measured by dividing the change in layer thickness by the initial thickness at each lateral (x,y) position, 0 ( , ) ( , ) ( , ) bulk x y l x y l x y ε = Δ , in the field of view. The layer thickness is measured in each OCT B-scan in a volume acquisition using an algorithm based on the Canny edge detector [22]. The stress at each lateral position is then estimated from the stress-strain curve of the compliant layer, which was independently measured using a standard compression test (Instron, Norwood, MA, USA).…”

Section: Quantitative Micro-elastographymentioning

confidence: 99%

“…In contrast, another category of OCE methods suitable for in vivo application, compression-based methods, have provided higher lateral resolution than SAW methods to date, with demonstrated potential to assess micro-scale variations in the mechanical properties of skin [20][21][22][23][24][25]. These methods are based on compressive loading, in which mechanical loading and imaging are often performed from the same direction.…”

Section: Introductionmentioning

confidence: 99%

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In vivo volumetric quantitative micro-elastography of human skin

Es'haghian¹,

Kennedy²,

Gong³

et al. 2017

Biomed. Opt. Express

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Abstract:In this paper, we demonstrate in vivo volumetric quantitative micro-elastography of human skin. Elasticity is estimated at each point in the captured volume by combining local axial strain measured in the skin with local axial stress estimated at the skin surface. This is achieved by utilizing phase-sensitive detection to measure axial displacements resulting from compressive loading of the skin and an overlying, compliant, transparent layer with known stress/strain behavior. We use an imaging probe head that provides optical coherence tomography imaging and compression from the same direction. We demonstrate our technique on a tissue phantom containing a rigid inclusion, and present in vivo elastograms acquired from locations on the hand, wrist, forearm and leg of human volunteers. References and links1. R. Muthupillai, D. J. Lomas, P. J. Rossman, J. F. Greenleaf, A. Manduca, and R. L. Ehman, "Magnetic resonance elastography by direct visualization of propagating acoustic strain waves," Science 269(5232), 1854-1857 (1995 3236-3245 (2015). Burns 22(6), 443-446 (1996 785-791 (1990). 14. C. Escoffier, J. de Rigal, A. Rochefort, R. Vasselet, J. L. Lévêque, and P. G. Agache, "Age-related mechanical properties of human skin: an in vivo study," J. Invest. Dermatol. 93(3), 353-357 (1989). 15. C. Li, G. Guan, R. Reif, Z. Huang, and R. K. Wang, "Determining elastic properties of skin by measuring surface waves from an impulse mechanical stimulus using phase-sensitive optical coherence tomography," J. R.

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Section: Discussionmentioning

confidence: 71%

Section: Quantitative Micro-elastographymentioning

confidence: 99%

Section: Quantitative Micro-elastographymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

In vivo volumetric quantitative micro-elastography of human skin

Es'haghian¹,

Kennedy²,

Gong³

et al. 2017

Biomed. Opt. Express

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“…membrane was attached to the bottom of the compression plate. A stress sensor made of translucent silicone rubber was placed between the TPX plastic membrane and the object to be imaged to measure the local stress 22 . The stress sensor had a Young's modulus of 30 kPa.…”

Section: Experimental Systemmentioning

confidence: 99%

Quantitative photoacoustic elastography of Young’s modulus in humans

Hai

Zhou

Gong

et al. 2017

Photons Plus Ultrasound: Imaging and Sensing 2017

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Elastography can noninvasively map the elasticity distribution of biological tissue, which is often altered in pathological states. In this work, we report quantitative photoacoustic elastography (QPAE), capable of measuring Young's modulus of human tissue in vivo. By combining photoacoustic elastography with a stress sensor having known stress-strain behavior, QPAE can simultaneously measure strain and stress, from which Young's modulus is calculated. We first applied QPAE to quantify the Young's modulus of tissue-mimicking agar phantoms with different concentrations. The measured values fitted well with both the empirical expectations based on the agar concentrations and those measured in independent standard compression tests. We then demonstrated the feasibility of QPAE by measuring the Young's modulus of human skeletal muscle in vivo. The data showed a linear relationship between muscle stiffness and loading. The results proved that QPAE can noninvasively quantify the absolute elasticity of biological tissue, thus enabling longitudinal imaging of tissue elasticity. QPAE can be exploited for both preclinical biomechanics studies and clinical applications.

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Optical coherence elastography for tissue characterization: a review

Wang

Larin

2014

Journal of Biophotonics

225

155

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Optical coherence elastography (OCE) represents the frontier of optical elasticity imaging techniques and focuses on the micro-scale assessment of tissue biomechanics in 3D that is hard to achieve with traditional elastographic methods. Benefit from the advancement of optical coherence tomography, and driven by the increasing requirements in nondestructive biomechanical characterization, this emerging technique recently has experienced a rapid development. In this paper, we start with the description of the mechanical contrast that has been employed by OCE and review the state-of-the-art techniques based on the reported applications and discuss the current technical challenges, emphasizing the unique role of OCE in tissue mechanical characterization. The position of OCE among other elastography techniques.

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Optical palpation: optical coherence tomography-based tactile imaging using a compliant sensor

Cited by 97 publications

References 17 publications

In vivo volumetric quantitative micro-elastography of human skin

In vivo volumetric quantitative micro-elastography of human skin

Quantitative photoacoustic elastography of Young’s modulus in humans

Optical coherence elastography for tissue characterization: a review

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