title: [Super-resolution reconstruction of lung 4D-CT images based on fast sub-pixel motion estimation].
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.
authors.affiliation: Department of Equipment, Ji'an Central Hospital, Ji'an 343000, China.E-mail: xiaoshanxn@126.com.
authors.forename: Shan
authors.initials: S
authors.lastname: Xiao
authors.forename: Tingting
authors.initials: T
authors.lastname: Wang
authors.forename: Qingwen
authors.initials: Q
authors.lastname: Lü
authors.forename: Yu
authors.initials: Y
authors.lastname: Zhang
mesh_terms: D000465:Algorithms; D056973:Four-Dimensional Computed Tomography; D006801:Humans; D007089:Image Enhancement; D008168:Lung / Q000033:anatomy & histology*; D009038:Motion; D014057:Tomography, X-Ray Computed