Modeling toolchain for realistic simulation of photoacoustic data acquisition.

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Abstrakt

Tytuł:: Modeling toolchain for realistic simulation of photoacoustic data acquisition.
Autorzy:: Muller JW; Eindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven, Department of Biomedical Engineering, Eindhoven, The Netherlands, The Netherlands.; Catharina Hospital, Department of Vascular Surgery, Eindhoven, The Netherlands, The Netherlands.
Arabul MÜ; Eindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven, Department of Biomedical Engineering, Eindhoven, The Netherlands, The Netherlands.
Schwab HM; Eindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven, Department of Biomedical Engineering, Eindhoven, The Netherlands, The Netherlands.
Rutten MCM; Cardiovascular Biomechanics Group, Department of Biomedical Engineering, Eindhoven, The Netherlands, The Netherlands.
van Sambeek MRHM; Eindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven, Department of Biomedical Engineering, Eindhoven, The Netherlands, The Netherlands.; Catharina Hospital, Department of Vascular Surgery, Eindhoven, The Netherlands, The Netherlands.
Wu M; Eindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven, Department of Biomedical Engineering, Eindhoven, The Netherlands, The Netherlands.
Lopata RGP; Eindhoven University of Technology, Photoacoustics and Ultrasound Laboratory Eindhoven, Department of Biomedical Engineering, Eindhoven, The Netherlands, The Netherlands.
Źródło:: Journal of biomedical optics [J Biomed Opt] 2022 Sep; Vol. 27 (9).
Typ publikacji:: Journal Article; Research Support, Non-U.S. Gov't
Język:: English
Imprint Name(s):: Original Publication: Bellingham, WA : Published by SPIE--the International Society for Optical Engineering in cooperation with International Biomedical Optics Society, c1996-
MeSH Terms:: Photoacoustic Techniques*/methods
Animals ; Computer Simulation ; Humans ; Phantoms, Imaging ; Signal-To-Noise Ratio ; Spectrum Analysis ; Swine
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Contributed Indexing:: Keywords: Monte–Carlo; k-wave; modeling; photoacoustic imaging; toolchain
Entry Date(s):: Date Created: 20220915 Date Completed: 20220916 Latest Revision: 20221115
Update Code:: 20240105
PubMed Central ID:: PMC9470848
DOI:: 10.1117/1.JBO.27.9.096005
PMID:: 36104838
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Significance: Physics-based simulations of photoacoustic (PA) signals are used to validate new methods, to characterize PA setups and to generate training datasets for machine learning. However, a thoroughly validated PA simulation toolchain that can simulate realistic images is still lacking.
Aim: A quantitative toolchain was developed to model PA image acquisition in complex tissues, by simulating both the optical fluence and the acoustic wave propagation.
Approach: Sampling techniques were developed to decrease artifacts in acoustic simulations. The performance of the simulations was analyzed by measuring the point spread function (PSF) and using a rotatable three-channel phantom, filled with cholesterol, a human carotid plaque sample, and porcine blood. Ex vivo human plaque samples were simulated to validate the methods in more complex tissues.
Results: The sampling techniques could enhance the quality of the simulated PA images effectively. The resolution and intensity of the PSF in the turbid medium matched the experimental data well. Overall, the appearance, signal-to-noise ratio and speckle of the images could be simulated accurately.
Conclusions: A PA toolchain was developed and validated, and the results indicate a great potential of PA simulations in more complex and heterogeneous media.

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