Photoacoustic tissue characterization using envelope statistics and ultrasonic spectral parameters

Eno Hysi; Dustin Dopsa; Michael C. Kolios

doi:10.1117/12.2038624

3 March 2014 Photoacoustic tissue characterization using envelope statistics and ultrasonic spectral parameters

Eno Hysi, Dustin Dopsa, Michael C. Kolios

Proceedings Volume 8943, Photons Plus Ultrasound: Imaging and Sensing 2014; 89432E (2014) https://doi.org/10.1117/12.2038624
Event: SPIE BiOS, 2014, San Francisco, California, United States

Abstract

Photoacoustic (PA) tissue characterization relies on the analysis of ultrasound (US) signals generated through the PA effect. The probability distributions of PA signal amplitude as well as the frequency content of the PA signals are typically not considered. We present a phantom study where we introduce the combined use of US/PA signal envelope statistics along with analysis of the frequency content of the US/PA signals for the purposes of monitoring physical changes in the absorbers. The phantoms were constructed using black polystyrene beads (radius 1.77 μm and 7.36 μm). Tissue microenvironment was emulated by homogenously mixing 10 beads/imaging-transducer-resolution-volume in order to accommodate large numbers of sub-resolved beads. The phantoms were imaged with the Vevo LAZR US/PA integrated imaging system (Fujifilm-VisualSonics) using a 40 MHz linear array probe and 680 nm illumination. US/PA signals from the same region of interest were analyzed by mapping the signal amplitudes distributions from 5 phantom locations, fitting the data to the Generalized Gamma (GG) distribution and extracting the fit parameters while computing the normalized power spectra to retrieve the spectral slope (SS) and midband fit (MBF) spectral parameters. The GG scale parameter increased by 500x for US images and 12x for PA equivalents as the size of the beads increased by ~4.5x. The SS decreased by 0.8x for US and 0.4x for PA. These changes can be attributed variations in size and spatial organization of the beads suggesting that combined US/PA statistical and spectral analysis can potentially monitor normal and abnormal tissue physiological changes.

Citation Download Citation

Eno Hysi, Dustin Dopsa, and Michael C. Kolios "Photoacoustic tissue characterization using envelope statistics and ultrasonic spectral parameters", Proc. SPIE 8943, Photons Plus Ultrasound: Imaging and Sensing 2014, 89432E (3 March 2014); https://doi.org/10.1117/12.2038624

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available