High-Frequency Quantitative Photoacoustic Imaging and Pixel-Level Tissue Classification

Lokesh Basavarajappa, Kenneth Hoyt

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

Abstract

The recently proposed frequency-domain technique for photoacoustic (PA) image formation helps to differentiate between different-sized structures. Although this technique has provided encouraging preliminary results, it currently lacks a mathematical framework. Recently, H-scan ultrasound (US) imaging was introduced for characterizing acoustic scattering behavior at the pixel level. This US imaging technique relies on matching a model that describes US image formation to the mathematics of a class of Gaussian-weighted Hermite polynomial (GWHP) functions. Herein, we propose the extrapolation of the H-scan US image processing method to the analysis of PA signals. Radiofrequency (RF) PA data were obtained using a Vevo 3100 with LAZR-X system (Fujifilm VisualSonics). Experiments were performed using tissue-mimicking phantoms embedded optical absorbing spherical scatterers. Overall, preliminary results demonstrate that H-scan US-based processing of PA signals can help distinguish micrometer-sized objects of varying size.

Original languageEnglish (US)
Title of host publicationISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages308-311
Number of pages4
ISBN (Electronic)9781538693308
DOIs
StatePublished - Apr 2020
Externally publishedYes
Event17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 - Iowa City, United States
Duration: Apr 3 2020Apr 7 2020

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2020-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
CountryUnited States
CityIowa City
Period4/3/204/7/20

Keywords

  • Gaussian-weighted Hermite polynomial
  • H-scan processing
  • Photoacoustics
  • Ultrasound

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Basavarajappa, L., & Hoyt, K. (2020). High-Frequency Quantitative Photoacoustic Imaging and Pixel-Level Tissue Classification. In ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging (pp. 308-311). [9098585] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2020-April). IEEE Computer Society. https://doi.org/10.1109/ISBI45749.2020.9098585