This paper gives an efficient approach to reconstruct moving multiple objects(multi-object).Each object has independently rigid motion which includes translation and rotation.The traditional FBP algorithm can resolve the one-object motion problem rather well.However,it suffers from perceptible motion artifacts in multi-object cases.This paper proposes a new motion-compensated reconstruction approach with a priori knowledge of the rigid motion model.Both an FBP-type and an ART-type algorithm were derived.In an effort to evaluate the proposed algorithms,we have performed numerical studies by using different rigid motion models.Quantitative results demonstrate that the proposed FBP-type and ART-type algorithms can reconstruct multi-object free of motion artifacts.
A three-dimensional(3-D) phantom for the density distribution of the plasmasphere is established .The imaging processes of the extreme ultraviolet(EUV) Imager are computer-simulated,in which the Earth shelter is treated as a main problem.A modified ART method is devised to resolve the incomplete data reconstruction problem to validate and evaluate the proposed methods.The cone-beam EUV data are simulated based on the 3-D phantom from both a circular and semi-circular trajectories.Quantitative reconstruction results demonstrate the correctness of the proposed modified ART algorithm.The CT technique can be used to calculate the global density of the plasmasphere from the EUV data.
