Fast, accurate and memory-saving ART based tomosynthesis

摘要

A fast, accurate and memory-saving tomosynthesis algorithm is presented based on the algebraic reconstruction technique (ART). In this approach, nonzero weights are calculated and saved in a compact look-up table in advance, which speeds up the reconstruction and greatly reduces the memory space. A Bessel-Kaiser function is used to significantly improve the reconstruction quality. Simulation results show that the proposed method makes a fast, accurate and memory-saving reconstruction of a 3D object.