ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2016
[Sinogram restoration for low-dose cerebral perfusion CT images].
Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- [Nonlocal low-rank and sparse matrix decomposition for low-dose cerebral perfusion CT image restoration].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022Article
- [Low-dose cerebral perfusion CT image restoration using prior image constrained diffusion tensor].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021Article
- [Low-dose digital breast tomosynthsis imaging via noise correlation based penalized weighted least-squares algorithm].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2018Article
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Authors and funding
6 authors.
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Abstract
objectiveIn clinical cerebral perfusion CT examination, repeated scanning the region of interest in the cine mode increases the radiation dose of the patients, while decreasing the radiation dose by lowering the scanning current results in poor image quality and affects the clinical diagnosis. We propose a penalized weighted least-square (PWLS) method for recovering the projection data to improve the quality of low-dose cerebral perfusion CT imaged. This method incorporates the statistical distribution characteristics of brain perfusion CT projection data and uses the statistical properties of the projection data for modeling. The PWLS method was used to recover the data, and the Gauss-Seidel (GS) method was employed for iterative solving. Adaptive weighting is introduced between the original projection data and the projection data after PWLS restoration. The experimental results on the clinical data demonstrated that the PWLS-based sinogram restoration method improved noise reduction and artifact suppression as compared with the conventional noise reduction methods, and better retained the edges and details to generate better cerebral perfusion maps.
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28446398PMC6744093What OpenQuestion holds
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