Literature DB >> 24513828

Three-dimensional photoacoustic tomography based on graphics-processing-unit-accelerated finite element method.

Kuan Peng, Ling He, Ziqiang Zhu, Jingtian Tang, Jiaying Xiao.   

Abstract

Compared with commonly used analytical reconstruction methods, the frequency-domain finite element method (FEM) based approach has proven to be an accurate and flexible algorithm for photoacoustic tomography. However, the FEM-based algorithm is computationally demanding, especially for three-dimensional cases. To enhance the algorithm's efficiency, in this work a parallel computational strategy is implemented in the framework of the FEM-based reconstruction algorithm using a graphic-processing-unit parallel frame named the "compute unified device architecture." A series of simulation experiments is carried out to test the accuracy and accelerating effect of the improved method. The results obtained indicate that the parallel calculation does not change the accuracy of the reconstruction algorithm, while its computational cost is significantly reduced by a factor of 38.9 with a GTX 580 graphics card using the improved method.

Mesh:

Year:  2013        PMID: 24513828     DOI: 10.1364/AO.52.008270

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  3 in total

1.  Real-time GPU-accelerated processing and volumetric display for wide-field laser-scanning optical-resolution photoacoustic microscopy.

Authors:  Heesung Kang; Sang-Won Lee; Eun-Soo Lee; Se-Hwa Kim; Tae Geol Lee
Journal:  Biomed Opt Express       Date:  2015-11-02       Impact factor: 3.732

2.  Semi-quantitative Multispectral Optoacoustic Tomography (MSOT) for volumetric PK imaging of gastric emptying.

Authors:  Stefan Morscher; Wouter H P Driessen; Jing Claussen; Neal C Burton
Journal:  Photoacoustics       Date:  2014-06-27

3.  Parallel Computing for Quantitative Blood Flow Imaging in Photoacoustic Microscopy.

Authors:  Zhiqiang Xu; Yiming Wang; Naidi Sun; Zhengying Li; Song Hu; Quan Liu
Journal:  Sensors (Basel)       Date:  2019-09-16       Impact factor: 3.576

  3 in total

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