GPU-accelerated Double-Stage Delay-Multiply-and-Sum Algorithm for Fast Photoacoustic Tomography Using LED Excitation and Linear Arrays

Journal Article (2019)
Author(s)

Seyyed Reza Miri Rostami (Tarbiat Modares University)

Moein Mozaffarzadeh (ImPhys/Acoustical Wavefield Imaging )

Mohsen Ghaffari-Miab (Tarbiat Modares University)

Ali Hariri (University of California)

Jesse Jokerst (University of California)

ImPhys/Acoustical Wavefield Imaging
DOI related publication
https://doi.org/10.1177/0161734619862488 Final published version
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Publication Year
2019
Language
English
ImPhys/Acoustical Wavefield Imaging
Issue number
5
Volume number
41
Pages (from-to)
301-316
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363
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Abstract

Double-stage delay-multiply-and-sum (DS-DMAS) is an algorithm proposed for photoacoustic image reconstruction. The DS-DMAS algorithm offers a higher contrast than conventional delay-and-sum and delay-multiply and-sum but at the expense of higher computational complexity. Here, we utilized a compute unified device architecture (CUDA) graphics processing unit (GPU) parallel computation approach to address the high complexity of the DS-DMAS for photoacoustic image reconstruction generated from a commercial light-emitting diode (LED)–based photoacoustic scanner. In comparison with a single-threaded central processing unit (CPU), the GPU approach increased speeds by nearly 140-fold for 1024 × 1024 pixel image; there was no decrease in accuracy. The proposed implementation makes it possible to reconstruct photoacoustic images with frame rates of 250, 125, and 83.3 when the images are 64 × 64, 128 × 128, and 256 × 256, respectively. Thus, DS-DMAS can be efficiently used in clinical devices when coupled with CUDA GPU parallel computation.

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