Photoacoustic spectrum analysis for microstructure characterization in biological tissue: A feasibility study.

This study investigates the feasibility of characterizing the microstructures within a biological tissue by analyzing the frequency spectrum of the photoacoustic signal from the tissue. Hypotheses are derived from theoretical analyses on the relationships between the dimensions/concentrations of the photoacoustic sources within the region-of-interest and the linear model fitted to the power spectra of photoacoustic signals. The hypotheses are validated, following the procedures of ultrasound spectrum analysis, by simulations and experiments with phantoms fabricated by embedding the polyethylene microspheres in porcine gelatin, indicating that photoacoustic spectrum analysis could be a potential tool for characterizing microstructures in biological samples.

[1]  T J Hall,et al.  Identifying acoustic scattering sources in normal renal parenchyma from the anisotropy in acoustic properties. , 1991, Ultrasound in medicine & biology.

[2]  E J Feleppa,et al.  Diagnostic spectrum analysis in ophthalmology: a physical perspective. , 1986, Ultrasound in medicine & biology.

[3]  E. Feleppa,et al.  Theoretical framework for spectrum analysis in ultrasonic tissue characterization. , 1983, The Journal of the Acoustical Society of America.

[4]  J. M. Pinkerton,et al.  The Absorption of Ultrasonic Waves in Liquids and its Relation to Molecular Constitution , 1949 .

[5]  Athina P. Petropulu,et al.  ROC analysis of ultrasound tissue characterization classifiers for breast cancer diagnosis , 2003, IEEE Transactions on Medical Imaging.

[6]  Cheri X Deng,et al.  Frequency-domain analysis of photoacoustic imaging data from prostate adenocarcinoma tumors in a murine model. , 2011, Ultrasound in medicine & biology.

[7]  E. Feleppa,et al.  Relationship of Ultrasonic Spectral Parameters to Features of Tissue Microstructure , 1987, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[8]  Cheri X Deng,et al.  In vivo characterization of pancreatic and lymph node tissue by using EUS spectrum analysis: a validation study. , 2010, Gastrointestinal endoscopy.

[9]  Chao Tao,et al.  Photoacoustic tomography of tissue subwavelength microstructure with a narrowband and low frequency system , 2012 .

[10]  William D O'Brien,et al.  Characterization of tissue microstructure using ultrasonic backscatter: theory and technique for optimization using a Gaussian form factor. , 2002, The Journal of the Acoustical Society of America.

[11]  E. Tuzcu,et al.  Coronary Plaque Classification With Intravascular Ultrasound Radiofrequency Data Analysis , 2002, Circulation.

[12]  P. Welch The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .