3-Dimensional stereo implementation of photoacoustic imaging based on a new image reconstruction algorithm without using discrete Fourier transform

Woonchul Ham; Chulgyu Song

doi:10.1117/12.2261392

10 May 2017 3-Dimensional stereo implementation of photoacoustic imaging based on a new image reconstruction algorithm without using discrete Fourier transform

Woonchul Ham, Chulgyu Song

Author Affiliations +

Proceedings Volume 10219, Three-Dimensional Imaging, Visualization, and Display 2017; 102190O (2017) https://doi.org/10.1117/12.2261392
Event: SPIE Commercial + Scientific Sensing and Imaging, 2017, Anaheim, CA, United States

Abstract

In this paper, we propose a new three-dimensional stereo image reconstruction algorithm for a photoacoustic medical imaging system. We also introduce and discuss a new theoretical algorithm by using the physical concept of Radon transform. The main key concept of proposed theoretical algorithm is to evaluate the existence possibility of the acoustic source within a searching region by using the geometric distance between each sensor element of acoustic detector and the corresponding searching region denoted by grid. We derive the mathematical equation for the magnitude of the existence possibility which can be used for implementing a new proposed algorithm. We handle and derive mathematical equations of proposed algorithm for the one-dimensional sensing array case as well as two dimensional sensing array case too. A mathematical k-wave simulation data are used for comparing the image quality of the proposed algorithm with that of general conventional algorithm in which the FFT should be necessarily used. From the k-wave Matlab simulation results, we can prove the effectiveness of the proposed reconstruction algorithm.

Conference Presentation

Citation Download Citation

Woonchul Ham and Chulgyu Song "3-Dimensional stereo implementation of photoacoustic imaging based on a new image reconstruction algorithm without using discrete Fourier transform", Proc. SPIE 10219, Three-Dimensional Imaging, Visualization, and Display 2017, 102190O (10 May 2017); https://doi.org/10.1117/12.2261392

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