Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Yuxia Sheng"'
Publikováno v:
PLoS ONE, Vol 16, Iss 12, p e0260374 (2021)
Low count PET (positron emission tomography) imaging is often desirable in clinical diagnosis and biomedical research, but its images are generally very noisy, due to the very weak signals in the sinograms used in image reconstruction. To address thi
Externí odkaz:
https://doaj.org/article/335a117c69dd419bb9cbd44d9c20dc28
Autor:
Yaru Wu, Yuxia Sheng
Publikováno v:
2022 China Automation Congress (CAC).
Publikováno v:
2022 34th Chinese Control and Decision Conference (CCDC).
Publikováno v:
2022 41st Chinese Control Conference (CCC).
Publikováno v:
2022 41st Chinese Control Conference (CCC).
Represented by the kernelized expectation maximization (KEM), the kernelized maximum-likelihood (ML) expectation maximization (EM) methods have recently gained prominence in PET image reconstruction, outperforming many previous state-of-the-art metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1762ad7f265af497e7e706963afaae2
https://doi.org/10.36227/techrxiv.17694368.v1
https://doi.org/10.36227/techrxiv.17694368.v1
Publikováno v:
IEEE Transactions on Medical Imaging. :1-1
Publikováno v:
2021 40th Chinese Control Conference (CCC).
In this paper, a novel magnetic resonance (MR) images reconstruction framework based on paired dictionary learning (PDL) is proposed by jointly training two dictionaries for both undersampled k-space data and fully sampled k-space data. We find an op
Publikováno v:
2021 33rd Chinese Control and Decision Conference (CCDC).
Publikováno v:
Medicalbiological engineeringcomputing. 61(1)
Positron emission tomography (PET) is a non-invasive molecular imaging method for quantitative observation of physiological and biochemical changes in living organisms. The quality of the reconstructed PET image is limited by many different physical