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Published January 20, 2020 | Published
Journal Article Open

Graphics processing unit accelerating compressed sensing photoacoustic computed tomography with total variation


Photoacoustic computed tomography with compressed sensing (CS-PACT) is a commonly used imaging strategy for sparse-sampling PACT. However, it is very time-consuming because of the iterative process involved in the image reconstruction. In this paper, we present a graphics processing unit (GPU)-based parallel computation framework for total-variation-based CS-PACT and adapted into a custom-made PACT system. Specifically, five compute-intensive operators are extracted from the iteration algorithm and are redesigned for parallel performance on a GPU. We achieved an image reconstruction speed 24–31 times faster than the CPU performance. We performed in vivo experiments on human hands to verify the feasibility of our developed method.

Additional Information

© 2020 Optical Society of America. Received 20 September 2019; revised 20 November 2019; accepted 10 December 2019; posted 10 December 2019 (Doc. ID 378466); published 15 January 2020. Funding: National Natural Science Foundation of China (61308116, 81427804, 81522024, 91739117); Shenzhen Science and Technology Innovation grant (JCYJ20160531175040976, JCYJ20170413153129570). The authors declare no conflicts of interest.

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August 19, 2023
October 19, 2023