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Ultra-wideband optical coherence elastography from acoustic to ultrasonic frequencies

Author

Listed:
  • Xu Feng

    (Massachusetts General Hospital)

  • Guo-Yang Li

    (Massachusetts General Hospital)

  • Seok-Hyun Yun

    (Massachusetts General Hospital
    Harvard-MIT Health Sciences and Technology)

Abstract

Visualizing viscoelastic waves in materials and tissues through noninvasive imaging is valuable for analyzing their mechanical properties and detecting internal anomalies. However, traditional elastography techniques have been limited by a maximum wave frequency below 1-10 kHz, which hampers temporal and spatial resolution. Here, we introduce an optical coherence elastography technique that overcomes the limitation by extending the frequency range to MHz. Our system can measure the stiffness of hard materials including bones and extract viscoelastic shear moduli for polymers and hydrogels in conventionally inaccessible ranges between 100 Hz and 1 MHz. The dispersion of Rayleigh surface waves across the ultrawide band allowed us to profile depth-dependent shear modulus in cartilages ex vivo and human skin in vivo with sub-mm anatomical resolution. This technique holds immense potential as a noninvasive measurement tool for material sciences, tissue engineering, and medical diagnostics.

Suggested Citation

  • Xu Feng & Guo-Yang Li & Seok-Hyun Yun, 2023. "Ultra-wideband optical coherence elastography from acoustic to ultrasonic frequencies," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-40625-y
    DOI: 10.1038/s41467-023-40625-y
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    References listed on IDEAS

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    1. Emad Moeendarbary & Isabell P. Weber & Graham K. Sheridan & David E. Koser & Sara Soleman & Barbara Haenzi & Elizabeth J. Bradbury & James Fawcett & Kristian Franze, 2017. "The soft mechanical signature of glial scars in the central nervous system," Nature Communications, Nature, vol. 8(1), pages 1-11, April.
    2. Matthew C Murphy & John Huston III & Clifford R Jack Jr. & Kevin J Glaser & Matthew L Senjem & Jun Chen & Armando Manduca & Joel P Felmlee & Richard L Ehman, 2013. "Measuring the Characteristic Topography of Brain Stiffness with Magnetic Resonance Elastography," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-1, December.
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