Super-resolution reconstruction of lung 4D-CT images based on fast sub-pixel motion estimation / 南方医科大学学报
Journal of Southern Medical University
;
(12): 1034-1038, 2015.
Article
in Chinese
| WPRIM
| ID: wpr-333689
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.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Algorithms
/
Image Enhancement
/
Tomography, X-Ray Computed
/
Four-Dimensional Computed Tomography
/
Lung
/
Motion
Limits:
Humans
Language:
Chinese
Journal:
Journal of Southern Medical University
Year:
2015
Type:
Article
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