TY - JOUR
T1 - Numerical investigation of nonlinear sound propagation of photoacoustic tomography imaging
AU - Zhong, Siyang
AU - Lau, Alex Siu Hong
AU - Huang, Xun
N1 - Funding Information:
National Science Foundation of China (Grant Nos. 11322222 and 11561130148). The third author received the Newton Advanced Fellowship from the Royal Society (Ref: NA14081) to conduct the research collaboration at the University of Cambridge.
Publisher Copyright:
© 2017 Optical Society of America.
PY - 2017/9/18
Y1 - 2017/9/18
N2 - Almostdeveloped by assuming that sound propagation is linear, which is valid for ordinary PAT applications but would become inappropriate when the sound amplitude is higher than a certain threshold level. In the current study, we investigate the effect of nonlinear sound propagation on PAT by using a numerical method which utilizes the time-reversal (TR) technique. In the forward stage, the Euler equations are solved to simulate nonlinear sound propagation, and the flow variables (pressure, velocity and density) are recorded by an array of virtual sensors. The recorded data are used to reconstruct the initial fields within the computational domain by using both linear and nonlinear TR techniques. Furthermore, TR results constructed with and without the recorded flow velocity field, which is difficult to measure for practical applications, have also been compared. The current results show that nonlinear reconstructions produce images with superior clarity, resolution and contrast compared to those reconstructed by the linear method, particularly when the recorded velocity field is used in the reconstruction.
AB - Almostdeveloped by assuming that sound propagation is linear, which is valid for ordinary PAT applications but would become inappropriate when the sound amplitude is higher than a certain threshold level. In the current study, we investigate the effect of nonlinear sound propagation on PAT by using a numerical method which utilizes the time-reversal (TR) technique. In the forward stage, the Euler equations are solved to simulate nonlinear sound propagation, and the flow variables (pressure, velocity and density) are recorded by an array of virtual sensors. The recorded data are used to reconstruct the initial fields within the computational domain by using both linear and nonlinear TR techniques. Furthermore, TR results constructed with and without the recorded flow velocity field, which is difficult to measure for practical applications, have also been compared. The current results show that nonlinear reconstructions produce images with superior clarity, resolution and contrast compared to those reconstructed by the linear method, particularly when the recorded velocity field is used in the reconstruction.
UR - http://www.scopus.com/inward/record.url?scp=85029896418&partnerID=8YFLogxK
U2 - 10.1364/OE.25.023486
DO - 10.1364/OE.25.023486
M3 - Journal article
C2 - 29041648
AN - SCOPUS:85029896418
SN - 1094-4087
VL - 25
SP - 23486
EP - 23492
JO - Optics Express
JF - Optics Express
IS - 19
ER -