Novel Image Optimization Method for Joint Photoacoustic Tomography
LI Wen-Chao1, YUAN Jie1**, SHEN Qing-Hong1, YU Yao1, ZHOU Yu1, DU Si-Dan1, LIU Xiao-Jun2, XU Guan3, WANG Xue-Ding3
1School of Electronic Science and Engineering, Nanjing University, Nanjing 210093 2School of Physics, Nanjing University, Nanjing 210093 3Department of Radiology, University of Michigan, Ann Arbor MI 48109, USA
Abstract：The distribution of speed of sound (SOS) in biomedical tissue and delay compensation (DC) have significant impact on the image quality of photoacoustic tomography (PAT). When imaging human peripheral joints, using fixed SOS and DC can only ensure that the reconstructed images are focused in a limited depth range, whereas they are defocused at other depths, which cause severe artifacts and blurring. In this work, a linear-DC based reconstruction approach is proposed to focus the whole PAT image region. It is proved by two in vivo experiments that, compared with traditional delay-and-sum back projection algorithms, the proposed method can effectively optimize the image quality of articular tissues in PAT.
2014, Vol. 31 
