Finite Transducer Size Compensation in Two-Dimensional Photoacoustic Computed Tomography

Conference paper (2021)

Authors

Soheil Hakakzadeh Sharif University of Technology
M. Mozaffarzadeh ImPhys/Medical Imaging - AS
Seyed Masood Mostafavi Sharif University of Technology
Mohammadreza Amjadian Sharif University of Technology, Hong Kong University of Science and Technology
Zahra Kavehvash Sharif University of Technology
M.D. Verweij ImPhys/Medical Imaging - AS , Erasmus MC
N. de Jong ImPhys/Medical Imaging - AS , Erasmus MC
Research Group
ImPhys/Medical Imaging (AS) (TU Delft)
Copyright: © 2021 Soheil Hakakzadeh, M. Mozaffarzadeh, Seyed Masood Mostafavi, Mohammadreza Amjadian, Zahra Kavehvash, M.D. Verweij, N. de Jong
DOI
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https://doi.org/10.1109/IUS52206.2021.9593757
Photoacoustic imaging Finite size transducer Image blurring Virtual source. Resolution
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Published Date

2021

Language

English

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Faculty

Applied Sciences

Department

ImPhys/Imaging Physics

Research Group

ImPhys/Medical Imaging

Abstract

In circular photoacoustic computed tomography, for data acquisition, a single-element transducer rotates around the region of interest (ROI). Due to the limited acceptance angle of the finite size transducer, the reconstructed image becomes blurred, and tangential resolution/contrast degrades in off-center locations in the ROI. In this paper, we propose a compensation method in which in addition to the circular scanning, the transducer rotates around its center (with specific angles) at each detection point. The superposition of these central rotations and non-rotated transducer mimics a virtual detector with a wide acceptance angle. The angles are calculated based on the central frequency and diameter of the transducer and the radius of the region-of-interest. Three types of numerical phantom (point-like, vasculature and Derenzo) were used to evaluate the performance of our method. Features of Olympus NDT, V326-SU transducer were used to assemble the numerical data. The results show that the proposed method provides better structural information by lowering the image blurring, improves the tangential resolution by 90% and increases peak signal-to-noise ratio by 14%.