High resolution SAW elastography for ex-vivo porcine skin specimen

Kanheng Zhou, Kairui Feng, Mingkai Wang, Tanatswa Jamera, Chunhui Li, Zhihong Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Surface acoustic wave (SAW) elastography has been proven to be a non-invasive, non-destructive method for accurately characterizing tissue elastic properties. Current SAW elastography technique tracks generated surface acoustic wave impulse point by point which are a few millimeters away. Thus, reconstructed elastography has low lateral resolution. To improve the lateral resolution of current SAW elastography, a new method was proposed in this research. A M-B scan mode, high spatial resolution phase sensitive optical coherence tomography (PhS-OCT) system was employed to track the ultrasonically induced SAW impulse. Ex-vivo porcine skin specimen was tested using this proposed method. A 2D fast Fourier transform based algorithm was applied to process the acquired data for estimating the surface acoustic wave dispersion curve and its corresponding penetration depth. Then, the ex-vivo porcine skin elastogram was established by relating the surface acoustic wave dispersion curve and its corresponding penetration depth. The result from the proposed method shows higher lateral resolution than that from current SAW elastography technique, and the approximated skin elastogram could also distinguish the different layers in the skin specimen, i.e. epidermis, dermis and fat layer. This proposed SAW elastography technique may have a large potential to be widely applied in clinical use for skin disease diagnosis and treatment monitoring.

Original languageEnglish
Title of host publicationOptical Elastography and Tissue Biomechanics V
EditorsKirill V. Larin, David D. Sampson
PublisherSPIE-International Society for Optical Engineering
Number of pages8
Volume10496
ISBN (Electronic)9781510614772
ISBN (Print)978-1-5106-1477-2
DOIs
Publication statusPublished - 18 Feb 2018
EventOptical Elastography and Tissue Biomechanics V 2018 - San Francisco, United States
Duration: 27 Jan 201828 Jan 2018

Publication series

NameProceedings of SPIE

Conference

ConferenceOptical Elastography and Tissue Biomechanics V 2018
CountryUnited States
CitySan Francisco
Period27/01/1828/01/18

Fingerprint

Elasticity Imaging Techniques
Surface waves
Skin
Swine
Acoustic waves
acoustics
high resolution
wave dispersion
impulses
penetration
epidermis
Elastic Tissue
Optical tomography
Optical Coherence Tomography
fats
Fourier Analysis
curves
Dermis
Oils and fats
Skin Diseases

Keywords

  • elastography
  • focused ultrasound
  • phase sensitive optical coherence tomography (PhS-OCT)
  • porcine skin
  • surface acoustic wave (SAW)

Cite this

Zhou, K., Feng, K., Wang, M., Jamera, T., Li, C., & Huang, Z. (2018). High resolution SAW elastography for ex-vivo porcine skin specimen. In K. V. Larin, & D. D. Sampson (Eds.), Optical Elastography and Tissue Biomechanics V (Vol. 10496). [104960I] (Proceedings of SPIE). SPIE-International Society for Optical Engineering. https://doi.org/10.1117/12.2288498
Zhou, Kanheng ; Feng, Kairui ; Wang, Mingkai ; Jamera, Tanatswa ; Li, Chunhui ; Huang, Zhihong. / High resolution SAW elastography for ex-vivo porcine skin specimen. Optical Elastography and Tissue Biomechanics V. editor / Kirill V. Larin ; David D. Sampson. Vol. 10496 SPIE-International Society for Optical Engineering, 2018. (Proceedings of SPIE).
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Zhou, K, Feng, K, Wang, M, Jamera, T, Li, C & Huang, Z 2018, High resolution SAW elastography for ex-vivo porcine skin specimen. in KV Larin & DD Sampson (eds), Optical Elastography and Tissue Biomechanics V. vol. 10496, 104960I, Proceedings of SPIE, SPIE-International Society for Optical Engineering, Optical Elastography and Tissue Biomechanics V 2018, San Francisco, United States, 27/01/18. https://doi.org/10.1117/12.2288498

High resolution SAW elastography for ex-vivo porcine skin specimen. / Zhou, Kanheng; Feng, Kairui; Wang, Mingkai; Jamera, Tanatswa; Li, Chunhui; Huang, Zhihong.

Optical Elastography and Tissue Biomechanics V. ed. / Kirill V. Larin; David D. Sampson. Vol. 10496 SPIE-International Society for Optical Engineering, 2018. 104960I (Proceedings of SPIE).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - High resolution SAW elastography for ex-vivo porcine skin specimen

AU - Zhou, Kanheng

AU - Feng, Kairui

AU - Wang, Mingkai

AU - Jamera, Tanatswa

AU - Li, Chunhui

AU - Huang, Zhihong

PY - 2018/2/18

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N2 - Surface acoustic wave (SAW) elastography has been proven to be a non-invasive, non-destructive method for accurately characterizing tissue elastic properties. Current SAW elastography technique tracks generated surface acoustic wave impulse point by point which are a few millimeters away. Thus, reconstructed elastography has low lateral resolution. To improve the lateral resolution of current SAW elastography, a new method was proposed in this research. A M-B scan mode, high spatial resolution phase sensitive optical coherence tomography (PhS-OCT) system was employed to track the ultrasonically induced SAW impulse. Ex-vivo porcine skin specimen was tested using this proposed method. A 2D fast Fourier transform based algorithm was applied to process the acquired data for estimating the surface acoustic wave dispersion curve and its corresponding penetration depth. Then, the ex-vivo porcine skin elastogram was established by relating the surface acoustic wave dispersion curve and its corresponding penetration depth. The result from the proposed method shows higher lateral resolution than that from current SAW elastography technique, and the approximated skin elastogram could also distinguish the different layers in the skin specimen, i.e. epidermis, dermis and fat layer. This proposed SAW elastography technique may have a large potential to be widely applied in clinical use for skin disease diagnosis and treatment monitoring.

AB - Surface acoustic wave (SAW) elastography has been proven to be a non-invasive, non-destructive method for accurately characterizing tissue elastic properties. Current SAW elastography technique tracks generated surface acoustic wave impulse point by point which are a few millimeters away. Thus, reconstructed elastography has low lateral resolution. To improve the lateral resolution of current SAW elastography, a new method was proposed in this research. A M-B scan mode, high spatial resolution phase sensitive optical coherence tomography (PhS-OCT) system was employed to track the ultrasonically induced SAW impulse. Ex-vivo porcine skin specimen was tested using this proposed method. A 2D fast Fourier transform based algorithm was applied to process the acquired data for estimating the surface acoustic wave dispersion curve and its corresponding penetration depth. Then, the ex-vivo porcine skin elastogram was established by relating the surface acoustic wave dispersion curve and its corresponding penetration depth. The result from the proposed method shows higher lateral resolution than that from current SAW elastography technique, and the approximated skin elastogram could also distinguish the different layers in the skin specimen, i.e. epidermis, dermis and fat layer. This proposed SAW elastography technique may have a large potential to be widely applied in clinical use for skin disease diagnosis and treatment monitoring.

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KW - focused ultrasound

KW - phase sensitive optical coherence tomography (PhS-OCT)

KW - porcine skin

KW - surface acoustic wave (SAW)

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DO - 10.1117/12.2288498

M3 - Conference contribution

AN - SCOPUS:85045146153

SN - 978-1-5106-1477-2

VL - 10496

T3 - Proceedings of SPIE

BT - Optical Elastography and Tissue Biomechanics V

A2 - Larin, Kirill V.

A2 - Sampson, David D.

PB - SPIE-International Society for Optical Engineering

ER -

Zhou K, Feng K, Wang M, Jamera T, Li C, Huang Z. High resolution SAW elastography for ex-vivo porcine skin specimen. In Larin KV, Sampson DD, editors, Optical Elastography and Tissue Biomechanics V. Vol. 10496. SPIE-International Society for Optical Engineering. 2018. 104960I. (Proceedings of SPIE). https://doi.org/10.1117/12.2288498