Improving the quality of optoacoustic imaging: a comparison of physical and numerical experiment
DOI:
https://doi.org/10.17721/1812-5409.2022/2.6Keywords:
image processing, optoacoustics, numerical simulation, k-Wave toolboxAbstract
Optoacoustic imaging is based on the generation of thermoelastic waves by heating an object in an optically inhomogeneous medium with a short laser pulse. The generated ultrasonic waves contain information about the distribution of structures with predominant optical absorption. Detection of acoustic perturbations on the surface of the object and the application of the backprojection algorithm are used to create a picture of the absorbed energy inside the environment. Conventional reconstruction methods lead to artifacts due to the peculiarities of the recovery algorithm. This study proposes an iterative procedure to reduce these artifacts. The algorithm minimizes the error between the measured signals and the signals calculated from the recovered image. The paper compares the results of processing optoacoustic signals implemented in numerical experiments with the results of physical experiments. It is shown that the quality of the recovered images improves even with a small number of iterations.
Pages of the article in the issue: 46 - 56
Language of the article: Ukrainian
References
SANDBICHLER M, KRAHMER F, BERER T, BURGHOLZER P, HALTMEIER M. (2015) A novel compressed sensing scheme for photoacoustic tomography. SIAM J Appl Math. V. 75., №6., P.2475–2494.
RUDNITSKII A.G., RUDNYTSKA. M.A, TKACHENKO L.V. (2021) The use of fuzzy logic in the search for the optimal filter in optoacoustic problems// Bulletin of Taras Shevchenko Kyiv National University Series of physical and mathematical sciences – 2021. – No. 1. - P. 43-54
RUDNITSKII A.G., RUDNYTSKA. M.A, TKACHENKO L.V. (2021) Iterative method of artefact correction during optoacoustic reconstruction// Bulletin of Taras Shevchenko Kyiv National University. Series of physical and mathematical sciences. No. 4., P. 98-107.
LI C., WANG L. V. (2009) Photoacoustic tomography and sensing in biomedicine// Physics in Medicine and Biology. V.54, № 19. P. 59-97.
MARENGO E., ROBOTTI E., ANTONUCCI F., CECCONI D. et al., (2005) Numerical approaches for quantitative analysis of twodimensional maps: a review of commercial software and home-made systems. // Proteomics. V.5. P. 654–666.
HUSEV V.E., KARABUTOV A.A. (1991) Laser Optoacoustics. Moscow: Nauka, 1991. 304 p.
KHOKHLOVA T.D., PELIVANOV I.M., KARABUTOV A.A. (2009) Methods of optical-acoustic diagnostics of bio-tissues. // Acoustic Journal , Vol. 55., No. 4–5. P. 672–683.
ROSENTHAL A., NTZIACHRISTOS V., RAZANSKY D. (2013) Acoustic inversion in optoacoustic tomography: A review. // Current medical imaging reviews. V. 9, № 4. P. 318–336.
KUCHMENT P., KUNYANSKE L. (2011) Mathematics of photoacoustic and thermoacoustic tomography. // Handbook of Mathematical Methods in Imaging Springer. pp. 817–865.
KUCHMENT P., KUNYANSKE L. (2008) Mathematics of thermoacoustic tomography.// European Journal of Applied Mathematics. V. 19. № 2. P. 191–224.
XU M., WANG L. V. (2005) Universal back-projection algorithm for photoacoustic computed tomography.// Biomedical Optics 2005 Intern. Society for Optics and Photonics. pp. 251–254.
BUJ C., HORSTMANN J., MUNTER M., BRINKMANN R. (2014) Speckle-based holographic detection for non-contact Photoacoustic Tomography// Proc. Biomed. Tech. V.59, P. 844-848.
J. HORSTMANN et al., (2015) Full-field speckle interferometry for non-contact photoacoustic tomography// Phys. Med. Biol. V. 60, №10. P. 4045-4058. doi: 10.1088/0031-9155/60/10/4045
AHMED M.N., YAMANY S.M., MOHAMED N., FARAG A.A, MORIARTY T. (2002) A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data //IEEE Transactions on Medical Imaging. №3. V21. P. 193-199.
BRADLEY E. TREEBY (2013) Modeling nonlinear wave propagation on nonuniform grids using a mapped k-space pseudospectral method// IEEE transactions on ultrasonics, ferroelectrics, and frequency control. № 10, P. 2208–2213.
WANG ZHOU, BOVIK, ALAN C., SHEIKH, HAMID R., and SIMONCELLI, EERO P.(2004) Image Qualifty Assessment: From Error Visibility to Structural Similarity. //IEEE Transactions on Image Processing. V.13, №4. – З. 600–612.
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