Super-resolution reconstruction of lung 4D-CT images based on fast sub-pixel motion estimation.
- Author:
Shan XIAO
1
;
Tingting WANG
;
Qingwen LÜ
;
Yu ZHANG
Author Information
1. Department of Equipment, Ji'an Central Hospital, Ji'an 343000, China.E-mail: xiaoshanxn@126.com.
- Publication Type:Journal Article
- MeSH:
Algorithms;
Four-Dimensional Computed Tomography;
Humans;
Image Enhancement;
Lung;
anatomy & histology;
Motion;
Tomography, X-Ray Computed
- From:
Journal of Southern Medical University
2015;35(7):1034-1038
- CountryChina
- Language:Chinese
-
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.
