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Mathematical Problems in Engineering
Volume 2015, Article ID 795092, 9 pages
http://dx.doi.org/10.1155/2015/795092
Research Article

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

Department of Control Science and Engineering, School of Astronautics, Harbin Institute of Technology, Room H618, Main Building, No. 2 West Wenhua Road, Weihai, Shandong 264209, China

Received 9 November 2014; Revised 25 March 2015; Accepted 22 April 2015

Academic Editor: Javier Plaza

Copyright © 2015 Mingjian Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.