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Updated: Dec 22, 2025

A Basic Positron Emission Tomography System Constructed to Locate a Radioactive Source in a Bi-dimensional Space
Published on: February 1, 2016
Poisson-noise weighted filter for time-of-flight positron emission tomography
Gengsheng L Zeng1,2, Li Lv3, Qiu Huang3
1Department of Engineering, Utah Valley University, 800 West University Parkway, Orem, UT, 84058, USA. larry.zeng@uvu.edu.
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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