TY - GEN
T1 - Fluence Compensation for Linear Array-Based Photoacoustic Imaging System Using Geometrical Depth Mapping
AU - Tang, Yichuan
AU - Lesniak, Wojciech G.
AU - Pomper, Martin G.
AU - Zhang, Haichong K.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Linear array-based photoacoustic (PA) imaging has been applied in tissue imaging. Due to optical attenuation, deep tissue receives less optical energy compared to surface tissue and thus generates weaker acoustic signals. To compensate for fluence change along light penetration direction, methods have been proposed based on optical transport model or statistical learning. However, these methods either require knowledge about optical properties of the tissue or involve extensive computation. In this work, we propose a fluence compensation method based on geometrical depth mapping derived from outer contour of the tissue. Our method requires no information on optical properties and does not involve extensive computation. Validations were carried out in simulation and ex vivo experiment. Results show that image intensities in deep tissue are enhanced, and image intensity distribution is more homogenous along the light penetration depth after fluence compensation. The proposed method proved effective for fluence compensation in imaging ex vivo tissue with homogeneous optical properties.
AB - Linear array-based photoacoustic (PA) imaging has been applied in tissue imaging. Due to optical attenuation, deep tissue receives less optical energy compared to surface tissue and thus generates weaker acoustic signals. To compensate for fluence change along light penetration direction, methods have been proposed based on optical transport model or statistical learning. However, these methods either require knowledge about optical properties of the tissue or involve extensive computation. In this work, we propose a fluence compensation method based on geometrical depth mapping derived from outer contour of the tissue. Our method requires no information on optical properties and does not involve extensive computation. Validations were carried out in simulation and ex vivo experiment. Results show that image intensities in deep tissue are enhanced, and image intensity distribution is more homogenous along the light penetration depth after fluence compensation. The proposed method proved effective for fluence compensation in imaging ex vivo tissue with homogeneous optical properties.
KW - Ex-vivo Sample Evaluation
KW - Fluence Compensation
KW - Linear Array-Based Photoacoustic Imaging
KW - Optical Attenuation
UR - http://www.scopus.com/inward/record.url?scp=85178619645&partnerID=8YFLogxK
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U2 - 10.1109/IUS51837.2023.10307734
DO - 10.1109/IUS51837.2023.10307734
M3 - Conference contribution
AN - SCOPUS:85178619645
T3 - IEEE International Ultrasonics Symposium, IUS
BT - IUS 2023 - IEEE International Ultrasonics Symposium, Proceedings
PB - IEEE Computer Society
T2 - 2023 IEEE International Ultrasonics Symposium, IUS 2023
Y2 - 3 September 2023 through 8 September 2023
ER -