A novel limited-view photoacoustic reconstruction algorithm combined iteration with back-projection calculation

Abstract

Using the photoacoustic imaging system with a linear transducer array and in the case of incomplete projection data, the filtered back projection (FBP) algorithm will produce many artifacts and blurs which limit the spatial resolution, degrade the image contrast and distort the shapes of the reconstructed objects. While conventional iterative reconstruction algorithm can reconstruct a clear image, but need much more time to compute than the FBP algorithm. In this paper, we present an improved iterative reconstruction algorithm to reconstruct the absorbed optical deposit distribution by combining FBP algorithm and conventional iterative reconstruction algorithm. The combined iterative reconstruction (CIR) algorithm can produce high-quality imaging as the iterative reconstruction algorithm, and with only 20% of the computed time used by the conventional iterative algorithm. Numerical simulation results validate this algorithm can effectively reconstruct a clear image in a short time and in a limit field of view and suggest the improved algorithm could be applied to fast photoacoustic imaging and noninvasive clinic diagnose.