Exploring correlation information for image compression of four-dimensional computed tomography | Zendy

Hui Yan | Zendy; YeXiong Li | Zendy; Jianrong Dai | Zendy

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Exploring correlation information for image compression of four-dimensional computed tomography

Author(s) -

Hui Yan,

YeXiong Li,

Jianrong Dai

Publication year - 2019

Publication title -

quantitative imaging in medicine and surgery

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.766

H-Index - 21

eISSN - 2223-4292

pISSN - 2223-4306

DOI - 10.21037/qims.2019.06.19

Subject(s) - encoder , lossy compression , computer science , lossless compression , data compression , artificial intelligence , compression (physics) , image compression , algorithm , video compression picture types , computer vision , block matching algorithm , coding (social sciences) , inter frame , frame (networking) , reference frame , video tracking , image (mathematics) , mathematics , image processing , statistics , video processing , materials science , composite material , operating system , telecommunications

Nowadays four-dimensional computed tomography (4DCT) is popularly used in evaluating respiration-related organ motion for patients under radiotherapy. As consisting of multiple subsets of CT images, a larger storage space is needed for 4DCT. In this study, the correlations information within these subsets was explored and the popular video encoders were used for 4DCT image compression.

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