Zeng GL, Lv L, Huang Q. Poisson-noise weighted filter for time-of-flight positron emission tomography.
Vis Comput Ind Biomed Art 2020;
3:10. [PMID:
32350714 PMCID:
PMC7190774 DOI:
10.1186/s42492-020-00048-8]
[Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 04/14/2020] [Indexed: 12/22/2022] Open
Abstract
Image reconstruction for list-mode time-of-flight (TOF) positron emission tomography (PET) can be achieved by analytic algorithms. The backprojection filtering (BPF) algorithm is an efficient algorithm for this task. The conventional noise control method for analytic image reconstruction is the use of a stationary lowpass filter, which does not model the Poisson noise properly. This study proposes a nonstationary filter for Poisson noise control. The filter is implemented in the spatial domain in a form similar to convolution.
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