Chinese Optics Letters, 2014, 12 (11): 111703, Published Online: Oct. 31, 2014
High total variation-based method for sparse-view photoacoustic reconstruction
110.5120 Photoacoutic imaging 100.3010 Image reconstruction techniques 170.3880 Medical and biological imaging 170.5120 Photoacoustic imaging
Abstract
We propose a novel method by combining the total variation (TV) with the high-degree TV (HDTV) to improve the reconstruction quality of sparse-view sampling photoacoustic imaging (PAI). A weighing function is adaptively updated in an iterative way to combine the solutions of the TV and HDTV minimizations. The fast iterative shrinkage/thresholding algorithm is implemented to solve both the TV and the HDTV minimizations with better convergence rate. Numerical results demonstrate the superiority and efficiency of the proposed method on sparse-view PAI. In vitro experiments also illustrate that the method can be used in practical sparse-view PAI.
Chen Zhang, Yuanyuan Wang. High total variation-based method for sparse-view photoacoustic reconstruction[J]. Chinese Optics Letters, 2014, 12(11): 111703.