OpenACC GPU implementation of double-stage delay-multiply-and-sum algorithm: toward enhanced real-time linear-array photoacoustic tomography

Seyyed Reza Miri Rostami; Moein Mozaffarzadeh; Ali Hariri; Jesse V. Jokerst; Mohsen Ghaffari-Miab

doi:10.1117/12.2511115

27 February 2019 OpenACC GPU implementation of double-stage delay-multiply-and-sum algorithm: toward enhanced real-time linear-array photoacoustic tomography

Seyyed Reza Miri Rostami, Moein Mozaffarzadeh, Ali Hariri, Jesse V. Jokerst, Mohsen Ghaffari-Miab

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Proceedings Volume 10878, Photons Plus Ultrasound: Imaging and Sensing 2019; 108785C (2019) https://doi.org/10.1117/12.2511115
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Double-stage delay-multiply-and-sum (DS-DMAS) is one of the algorithms proposed for photoacoustic image reconstruction where a linear-array transducer is used to detect signals. This algorithm provides a higher contrast image in comparison with the conventional delay-multiply-and-sum (DMAS) and delay-and-sum (DAS), but it imposes a high computational complexity. In this paper, open accelerators (OpenACC) GPU computation parallel approach is used to lessen the computational time and address the high computational time of the DSDMAS for photoacoustic image reconstruction process. Compared with sequential execution of the DS-DMAS on CPU, a speed-up of approximately 74× is achieved (for an image having 1024 × 1024 pixels). The proposed approach provides possibility to have an accurate reconstructed photoacoustic image with a reasonable frame rate. In addition, the higher the number of the image pixels, the higher speed-up is achieved. Using the suggested GPU implementation, it is feasible to reconstruct photoacoustic images having a size of 128 × 128, and 256 × 256 with a frame rate of 3 and 2, respectively.

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Seyyed Reza Miri Rostami, Moein Mozaffarzadeh, Ali Hariri, Jesse V. Jokerst, and Mohsen Ghaffari-Miab "OpenACC GPU implementation of double-stage delay-multiply-and-sum algorithm: toward enhanced real-time linear-array photoacoustic tomography", Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108785C (27 February 2019); https://doi.org/10.1117/12.2511115

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KEYWORDS

Photoacoustic spectroscopy

Reconstruction algorithms

Image processing

Computer programming

Image quality

Photoacoustic tomography

Image enhancement

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