A Combined Reconstruction Algorithm for Limited-View Multi-Element Photoacoustic Imaging
YANG Di-Wu1, XING Da2, ZHAO Xue-Hui1, PAN Chang-Ning1, FANG Jian-Shu1
1College of Science, Hunan University of Technology, Zhuzhou 412008 2MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, South China Normal University, Guangzhou 510631
A Combined Reconstruction Algorithm for Limited-View Multi-Element Photoacoustic Imaging
YANG Di-Wu1, XING Da2, ZHAO Xue-Hui1, PAN Chang-Ning1, FANG Jian-Shu1
1College of Science, Hunan University of Technology, Zhuzhou 412008 2MOE Key Laboratory of Laser Life Science and Institute of Laser Life Science, South China Normal University, Guangzhou 510631
摘要We present a photoacoustic imaging system with a linear transducer array scanning in limited-view fields and develop a combined reconstruction algorithm, which is a combination of the limited-field filtered back projection (LFBP) algorithm and the simultaneous iterative reconstruction technique (SIRT) algorithm, to reconstruct the optical absorption distribution. In this algorithm, the LFBP algorithm is exploited to reconstruct the original photoacoustic image, and then the SIRT algorithm is used to improve the quality of the final reconstructed photoacoustic image. Numerical simulations with calculated incomplete data validate the reliability of this algorithm and the reconstructed experimental results further demonstrate that the combined reconstruction algorithm effectively reduces the artifacts and blurs and yields better quality of reconstruction image than that with the LFBP algorithm.
Abstract：We present a photoacoustic imaging system with a linear transducer array scanning in limited-view fields and develop a combined reconstruction algorithm, which is a combination of the limited-field filtered back projection (LFBP) algorithm and the simultaneous iterative reconstruction technique (SIRT) algorithm, to reconstruct the optical absorption distribution. In this algorithm, the LFBP algorithm is exploited to reconstruct the original photoacoustic image, and then the SIRT algorithm is used to improve the quality of the final reconstructed photoacoustic image. Numerical simulations with calculated incomplete data validate the reliability of this algorithm and the reconstructed experimental results further demonstrate that the combined reconstruction algorithm effectively reduces the artifacts and blurs and yields better quality of reconstruction image than that with the LFBP algorithm.
[1] Wang X et al 2003 Nat. Biotechnol. 21 803 [2] Kruger R A et al 2003 Med. Phys. 30 856 [3] Laufer J et al 2007 Proc. SPIE 6437 64371Z [4] Zhang H F et al 2007 Appl. Phys. Lett. 90 053901 [5] Yang S H et al 2007 Appl. Phys. Lett. 90 243902 [6] Yuan Z et al 2006 Opt. Express 15 6749 [7] Su Y X et al 2006 Chin. Phys. Lett 23 512 [8] Zeng L M et al 2006 Chin. Phys. Lett. 23 1215 [9] Xu M H et al 2002 IEEE Trans. Med. Imaging 21 814 [10] Xu Y et al 2002 IEEE Trans. Med. Imaging 21 823 [11] Wang Y et al 2004 Phys. Med. Biol. 49 3117 [12] Yang D W, Xing D et al 2005 Appl. Phys. Lett. 87 194101 [13] Cox B T et al 2006 Appl. Opt. 451 866 [14] Paltauf G et al 2002 J. Acoustic. Soc. Am. 112 1536 [15] Xiang L Z et al 2007 Acta Phys. Sin. 56 3911 (in Chinese) [16] Patrickeyev I et al 2004 Proc. SPIE 5320 249 [17] Yang D W et al 2007 Opt. Express 23 15566
2010, Vol. 27 
