Rapid computation of photoacoustic fields from normal and pathological red blood cells using a Green's function method

Ratan K. Saha; Muhannad N. Fadhel; Aamna Lawrence; Subhajit Karmakar; Arunabha Adhikari; Michael C. Kolios

doi:10.1117/12.2253555

3 March 2017 Rapid computation of photoacoustic fields from normal and pathological red blood cells using a Green's function method

Ratan K. Saha, Muhannad N. Fadhel, Aamna Lawrence, Subhajit Karmakar, Arunabha Adhikari, Michael C. Kolios

Author Affiliations +

Proceedings Volume 10064, Photons Plus Ultrasound: Imaging and Sensing 2017; 100644U (2017) https://doi.org/10.1117/12.2253555
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

Photoacoustic (PA) field calculations using a Green’s function approach is presented. The method has been applied to predict PA spectra generated by normal (discocyte) and pathological (stomatocyte) red blood cells (RBCs). The contours of normal and pathological RBCs were generated by employing a popular parametric model and accordingly, fitted with the Legendre polynomial expansions for surface parametrization. The first frequency minimum of theoretical PA spectrum approximately appears at 607 MHz for a discocyte and 410 MHz for a stomatocyte when computed from the direction of symmetry axis. The same feature occurs nearly at 247 and 331 MHz, respectively, for those particles when measured along the perpendicular direction. The average experimental spectrum for normal RBCs is found to be flat over a bandwidth of 150-500 MHz when measured along the direction of symmetry axis. For spherical RBCs, both the theoretical and experimental spectra demonstrate negative slope over a bandwidth of 250-500 MHz. Using the Green’s function method discussed, it may be possible to rapidly characterize cellular morphology from single-particle PA spectra.

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Ratan K. Saha, Muhannad N. Fadhel, Aamna Lawrence, Subhajit Karmakar, Arunabha Adhikari, and Michael C. Kolios "Rapid computation of photoacoustic fields from normal and pathological red blood cells using a Green's function method", Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100644U (3 March 2017); https://doi.org/10.1117/12.2253555

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