Optimization of reconstruction parameters in [18F]FDG PET brain images aiming scan time reduction Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.29384/rbfm.2021.v15.19849001611
Iterative image reconstruction methods are widely used in PET due to their better image quality when compared to analytical methods. However, inaccurate quantification occurs in low activity concentration regions, which leads to biased quantification of PET images. The diagnosis of some neurodegenerative diseases, such as Alzheimer’s disease, is based on identifying such low-uptake regions. Furthermore, PET imaging in these populations should be as short as possible to limit head movements and improve patient comfort. This work aims to identify optimized reconstruction parameters of [18F]FDG PET brain images aiming to reduce image acquisition time with minimal impact on quantification. For this, [18F]FDG PET images of a Hoffman 3-D brain phantom were acquired. Analytical and iterative reconstruction methods were compared utilizing image quality and quantitative accuracy metrics. OSEM reconstruction algorithm was optimized (4 iterations and 32 subsets). It resulted in remarkably similar images compared to the current clinical settings, with a 50% reduction in scan time (5 min with a post-reconstruction filter of 4 mm). Future clinical studies are needed to confirm the results presented here.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.29384/rbfm.2021.v15.19849001611
- https://www.rbfm.org.br/rbfm/article/download/611/567
- OA Status
- diamond
- Cited By
- 1
- References
- 21
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3184333665
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3184333665Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.29384/rbfm.2021.v15.19849001611Digital Object Identifier
- Title
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Optimization of reconstruction parameters in [18F]FDG PET brain images aiming scan time reductionWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
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2021-07-13Full publication date if available
- Authors
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Samara Oliveira Pinto, Paulo Rauli Rafeson De Vasconcelos Caribé, Lucas Narciso, Ana Maria Marques da SilvaList of authors in order
- Landing page
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https://doi.org/10.29384/rbfm.2021.v15.19849001611Publisher landing page
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https://www.rbfm.org.br/rbfm/article/download/611/567Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://www.rbfm.org.br/rbfm/article/download/611/567Direct OA link when available
- Concepts
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Iterative reconstruction, Image quality, Imaging phantom, Artificial intelligence, Computer science, Reduction (mathematics), Positron emission tomography, Computer vision, Pattern recognition (psychology), Nuclear medicine, Image (mathematics), Mathematics, Medicine, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2023: 1Per-year citation counts (last 5 years)
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21Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2127897405, https://openalex.org/W2889844126, https://openalex.org/W2783292715, https://openalex.org/W2158631725, https://openalex.org/W2959234405, https://openalex.org/W2540151821, https://openalex.org/W2048123481, https://openalex.org/W6655858186, https://openalex.org/W2341333470, https://openalex.org/W2531807754, https://openalex.org/W1913911605, https://openalex.org/W2953930601, https://openalex.org/W2515162663, https://openalex.org/W2044063584, https://openalex.org/W2021307447, https://openalex.org/W3010452423, https://openalex.org/W4302621225, https://openalex.org/W2143967388, https://openalex.org/W1556661394, https://openalex.org/W2012191973, https://openalex.org/W2037100297 |
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