Tissue type characterization using photoacoustic power spectrum, a feasibility study

Behnoosh Tavakoli, Seth D. Goldstein, Jin U. Kang, Michael Choti, Emad Boctor

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

Abstract

The development of technologies capable of non-invasive characterization of tissue has the potential to significantly improve diagnostic and therapeutic medical interventions. In this study we investigated the feasibility of a noninvasive photoacoustic (PA) approach for characterizing biological tissues. The measurement was performed in the transmission mode with a wideband hydrophone while a tunable Q-switched Nd:YAG pulsed laser was used for illumination. The power spectrum of photoacoustic signal induced by a pulsed laser light from tissue was analyzed and features were extracted to study their correlation with tissue biomechanical properties. For a controlled study, tissue mimicking gelatin phantoms with different densities and equivalent optical absorptions were used as targets. The correlation between gelatin concentration of such phantoms and their mechanical properties were validated independently with a dynamic mechanical analyzer capable of calculating complex loss and storage moduli between two compression plates. It was shown that PA spectrums were shifted towards higher frequencies by increasing gelatin concentration. In order to quantify this effect, signal energy in two intervals of low and high frequency ranges were calculated. Gelatin concentration was correlated with PA energy in high frequency range with R2=0.94. Subsequently, PA signals generated from freshly resected human thyroid specimens were measured and analyzed in a similar fashion. We found that in aggregate, malignant thyroid tissue contains approximately 1.6 times lower energy in the high frequency range in comparison to normal thyroid tissue (p

Original languageEnglish (US)
Title of host publicationPhotons Plus Ultrasound: Imaging and Sensing 2015
PublisherSPIE
Volume9323
ISBN (Print)9781628414134
DOIs
StatePublished - 2015
EventPhotons Plus Ultrasound: Imaging and Sensing 2015 - San Francisco, United States
Duration: Feb 8 2015Feb 10 2015

Other

OtherPhotons Plus Ultrasound: Imaging and Sensing 2015
CountryUnited States
CitySan Francisco
Period2/8/152/10/15

Fingerprint

Photoacoustic effect
Feasibility Studies
Power spectrum
power spectra
Tissue
gelatins
Gelatin
Thyroid Gland
frequency ranges
Pulsed lasers
pulsed lasers
Lasers
Hydrophones
hydrophones
Solid-State Lasers
Lighting
Light absorption
energy
YAG lasers
analyzers

Keywords

  • Biomechanical features
  • Photoacoustic
  • Power spectrum analysis
  • Tissue characterization

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Tavakoli, B., Goldstein, S. D., Kang, J. U., Choti, M., & Boctor, E. (2015). Tissue type characterization using photoacoustic power spectrum, a feasibility study. In Photons Plus Ultrasound: Imaging and Sensing 2015 (Vol. 9323). [93232W] SPIE. https://doi.org/10.1117/12.2079993

Tissue type characterization using photoacoustic power spectrum, a feasibility study. / Tavakoli, Behnoosh; Goldstein, Seth D.; Kang, Jin U.; Choti, Michael; Boctor, Emad.

Photons Plus Ultrasound: Imaging and Sensing 2015. Vol. 9323 SPIE, 2015. 93232W.

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

Tavakoli, B, Goldstein, SD, Kang, JU, Choti, M & Boctor, E 2015, Tissue type characterization using photoacoustic power spectrum, a feasibility study. in Photons Plus Ultrasound: Imaging and Sensing 2015. vol. 9323, 93232W, SPIE, Photons Plus Ultrasound: Imaging and Sensing 2015, San Francisco, United States, 2/8/15. https://doi.org/10.1117/12.2079993
Tavakoli B, Goldstein SD, Kang JU, Choti M, Boctor E. Tissue type characterization using photoacoustic power spectrum, a feasibility study. In Photons Plus Ultrasound: Imaging and Sensing 2015. Vol. 9323. SPIE. 2015. 93232W https://doi.org/10.1117/12.2079993
Tavakoli, Behnoosh ; Goldstein, Seth D. ; Kang, Jin U. ; Choti, Michael ; Boctor, Emad. / Tissue type characterization using photoacoustic power spectrum, a feasibility study. Photons Plus Ultrasound: Imaging and Sensing 2015. Vol. 9323 SPIE, 2015.
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