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Time Reversal Reconstruction Algorithm Based on PSO Optimized SVM Interpolation for Photoacoustic Imaging

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  • Mingjian Sun
  • Zhenghua Wu
  • Ting Liu
  • Jiajun Hu
  • Guanqun Wu
  • Naizhang Feng

Abstract

Photoacoustic imaging is an innovative imaging technique to image biomedical tissues. The time reversal reconstruction algorithm in which a numerical model of the acoustic forward problem is run backwards in time is widely used. In the paper, a time reversal reconstruction algorithm based on particle swarm optimization (PSO) optimized support vector machine (SVM) interpolation method is proposed for photoacoustics imaging. Numerical results show that the reconstructed images of the proposed algorithm are more accurate than those of the nearest neighbor interpolation, linear interpolation, and cubic convolution interpolation based time reversal algorithm, which can provide higher imaging quality by using significantly fewer measurement positions or scanning times.

Suggested Citation

  • Mingjian Sun & Zhenghua Wu & Ting Liu & Jiajun Hu & Guanqun Wu & Naizhang Feng, 2015. "Time Reversal Reconstruction Algorithm Based on PSO Optimized SVM Interpolation for Photoacoustic Imaging," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-9, May.
    • Handle: RePEc:hin:jnlmpe:795092
    DOI: 10.1155/2015/795092
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