TY - GEN
T1 - High-Frequency Quantitative Photoacoustic Imaging and Pixel-Level Tissue Classification
AU - Basavarajappa, Lokesh
AU - Hoyt, Kenneth
PY - 2020/4
Y1 - 2020/4
N2 - 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.
AB - 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.
KW - Gaussian-weighted Hermite polynomial
KW - H-scan processing
KW - Photoacoustics
KW - Ultrasound
UR - http://www.scopus.com/inward/record.url?scp=85085860620&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85085860620&partnerID=8YFLogxK
U2 - 10.1109/ISBI45749.2020.9098585
DO - 10.1109/ISBI45749.2020.9098585
M3 - Conference contribution
AN - SCOPUS:85085860620
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 308
EP - 311
BT - ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
T2 - 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020
Y2 - 3 April 2020 through 7 April 2020
ER -