ArticleProceedings. IEEE International Symposium on Biomedical Imaging2020
A LIST-MODE OSEM-BASED ATTENUATION AND SCATTER COMPENSATION METHOD FOR SPECT.
Article in Proceedings. IEEE International Symposium on Biomedical Imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- CTLESS: A scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT.IEEE transactions on medical imaging · 2024Article
- A list-mode multi-energy window low-count SPECT reconstruction method for isotopes with multiple emission peaks.EJNMMI physics · 2023Article
- Article
- Development and task-based evaluation of a scatter-window projection and deep learning-based transmission-less attenuation compensation method for myocardial perfusion SPECT.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Effect on null spaces of list-mode imaging systems due to increasing the size of attribute space.Journal of the Optical Society of America. A, Optics, image science, and vision · 2021Article
- Task-based assessment of binned and list-mode SPECT systems.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Practical considerations for quantitative clinical SPECT/CT imaging of alpha particle emitting radioisotopes.Theranostics · 2021Article
- Fisher information analysis of list-mode SPECT emission data for joint estimation of activity and attenuation distribution.Inverse problems · 2020Article
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3 authors.
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Abstract
Reliable attenuation and scatter compensation (ASC) is a pre-requisite for quantification and beneficial for visual interpretation tasks in SPECT. In this paper, we develop a reconstruction method that uses the entire SPECT emission data, i.e. data in both the photopeak and scatter windows, acquired in list-mode format and including the energy attribute of the detected photon, to perform ASC. We implemented a GPU-based version of this method using an ordered subsets expectation maximization (OSEM) algorithm. The method was objectively evaluated using realistic simulation studies on the task of estimating uptake in the striatal regions of the brain in a 2-D dopamine transporter (DaT)-scan SPECT study. We observed that inclusion of data from the scatter window and using list-mode data yielded improved quantification compared to using data only from the photopeak window or using binned data. These results motivate further development of list-mode-based ASC methods that include scatter-window data for SPECT.
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