Poisson-noise weighted filter for time-of-flight positron emission tomography

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...

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Detalles Bibliográficos
Autores principales: Zeng, Gengsheng L., Lv, Li, Huang, Qiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190774/
https://www.ncbi.nlm.nih.gov/pubmed/32350714
http://dx.doi.org/10.1186/s42492-020-00048-8
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author Zeng, Gengsheng L.
Lv, Li
Huang, Qiu
author_facet Zeng, Gengsheng L.
Lv, Li
Huang, Qiu
author_sort Zeng, Gengsheng L.
collection PubMed
description 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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spelling pubmed-71907742020-05-04 Poisson-noise weighted filter for time-of-flight positron emission tomography Zeng, Gengsheng L. Lv, Li Huang, Qiu Vis Comput Ind Biomed Art Original Article 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. Springer Singapore 2020-04-29 /pmc/articles/PMC7190774/ /pubmed/32350714 http://dx.doi.org/10.1186/s42492-020-00048-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Zeng, Gengsheng L.
Lv, Li
Huang, Qiu
Poisson-noise weighted filter for time-of-flight positron emission tomography
title Poisson-noise weighted filter for time-of-flight positron emission tomography
title_full Poisson-noise weighted filter for time-of-flight positron emission tomography
title_fullStr Poisson-noise weighted filter for time-of-flight positron emission tomography
title_full_unstemmed Poisson-noise weighted filter for time-of-flight positron emission tomography
title_short Poisson-noise weighted filter for time-of-flight positron emission tomography
title_sort poisson-noise weighted filter for time-of-flight positron emission tomography
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190774/
https://www.ncbi.nlm.nih.gov/pubmed/32350714
http://dx.doi.org/10.1186/s42492-020-00048-8
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