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.
Artigo
em Chinês
| 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.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Algoritmos
/
Aumento da Imagem
/
Tomografia Computadorizada por Raios X
/
Tomografia Computadorizada Quadridimensional
/
Pulmão
/
Movimento (Física)
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Southern Medical University
Ano de publicação:
2015
Tipo de documento:
Artigo
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