Abstract: Super-resolution image reconstruction techniques play an important role for improving image resolution of lung
4D-CT. We presents a super-resolution approach based on fast sub-pixel motion estimation to reconstruct lung 4D-CT images.
A fast sub-pixel motion estimation method was used to estimate the deformation fields between "frames", and then iterative
back projection (IBP) algorithm was employed to reconstruct high-resolution images. Experimental results showed that
compared with traditional interpolation method and super-resolution reconstruction algorithm based on full search motion
estimation, the proposed method produced clearer images with significantly enhanced image structure details and reduced
time for computation.