Sparse filtered SIRT for electron tomography
作者：
Highlights：
• This paper presents a new filtered backprojection for tomographic reconstruction.
• The approach optimizes the backprojection filter to minimize the reconstruction error.
• The filtered backprojection can be iteratively performed as a part of SIRT.
• The iterative approach largely mitigates the effect of noises and missing wedges.
• The approach was validated using four benchmark images and one experimental image.
摘要
•This paper presents a new filtered backprojection for tomographic reconstruction.•The approach optimizes the backprojection filter to minimize the reconstruction error.•The filtered backprojection can be iteratively performed as a part of SIRT.•The iterative approach largely mitigates the effect of noises and missing wedges.•The approach was validated using four benchmark images and one experimental image.
论文关键词：Tomographic reconstruction,Filtered backprojection,Filter optimization,Filtered backprojection within SIRT
论文评审过程：Received 25 May 2019, Revised 17 November 2019, Accepted 30 January 2020, Available online 7 February 2020, Version of Record 13 February 2020.
论文官网地址：https://doi.org/10.1016/j.patcog.2020.107253
