Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels
Abstract Background Zirconium-89 (Zr-89) PET tracers have become increasingly significant in the field of nuclear medicine due to their 3-day physical half-life, allowing for the study of dynamic biological processes over relatively long timeframes. To date there has been limited publication of stud...
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SpringerOpen
2025-02-01
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| Series: | EJNMMI Physics |
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| Online Access: | https://doi.org/10.1186/s40658-025-00722-x |
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| author | Lara M. Bonney Matthew D. Walker Daniel R. McGowan |
| author_facet | Lara M. Bonney Matthew D. Walker Daniel R. McGowan |
| author_sort | Lara M. Bonney |
| collection | DOAJ |
| description | Abstract Background Zirconium-89 (Zr-89) PET tracers have become increasingly significant in the field of nuclear medicine due to their 3-day physical half-life, allowing for the study of dynamic biological processes over relatively long timeframes. To date there has been limited publication of studies focused on optimisation of acquisition parameters for Zr-89 PET. This paper outlines a short phantom study investigating the optimal beta regularization parameter for quantitation and noise in block sequential regularised expectation maximisation (BSREM) also known as Bayesian penalized likelihood (BPL) reconstruction, for varying image noise characteristics (acquisition duration). Results The choice of the beta regularisation parameter substantially impacts image quality and quantitation. For larger volumes, BSREM reconstruction enhanced image quality (lower noise) and maintained quantitation, whereas for smaller volumes quantitation worsened as compared to OSEM for high regularisation parameters. Conclusion Where BSREM reconstruction is used for Zr-89 images, careful attention must be paid to the choice of weighting factor, especially for quantitative clinical studies. The effect of varying beta on several measures of image quality was characterised for the case of a phantom, with the results indicating that the value of beta for optimal Zr-89 quantitation is lower than what is generally used for optimal visualisation. This work demonstrates the need for careful attention to the reconstruction methods used for quantitative imaging studies, such as those required for theragnostic imaging. |
| format | Article |
| id | doaj-art-c042a817c69a4fb6b3a2d19721b929db |
| institution | Kabale University |
| issn | 2197-7364 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EJNMMI Physics |
| spelling | doaj-art-c042a817c69a4fb6b3a2d19721b929db2025-02-09T12:54:52ZengSpringerOpenEJNMMI Physics2197-73642025-02-0112111010.1186/s40658-025-00722-xPhantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levelsLara M. Bonney0Matthew D. Walker1Daniel R. McGowan2Department of Medical Physics and Clinical Engineering, Oxford University Hospitals NHS Foundation TrustDepartment of Medical Physics and Clinical Engineering, Oxford University Hospitals NHS Foundation TrustDepartment of Medical Physics and Clinical Engineering, Oxford University Hospitals NHS Foundation TrustAbstract Background Zirconium-89 (Zr-89) PET tracers have become increasingly significant in the field of nuclear medicine due to their 3-day physical half-life, allowing for the study of dynamic biological processes over relatively long timeframes. To date there has been limited publication of studies focused on optimisation of acquisition parameters for Zr-89 PET. This paper outlines a short phantom study investigating the optimal beta regularization parameter for quantitation and noise in block sequential regularised expectation maximisation (BSREM) also known as Bayesian penalized likelihood (BPL) reconstruction, for varying image noise characteristics (acquisition duration). Results The choice of the beta regularisation parameter substantially impacts image quality and quantitation. For larger volumes, BSREM reconstruction enhanced image quality (lower noise) and maintained quantitation, whereas for smaller volumes quantitation worsened as compared to OSEM for high regularisation parameters. Conclusion Where BSREM reconstruction is used for Zr-89 images, careful attention must be paid to the choice of weighting factor, especially for quantitative clinical studies. The effect of varying beta on several measures of image quality was characterised for the case of a phantom, with the results indicating that the value of beta for optimal Zr-89 quantitation is lower than what is generally used for optimal visualisation. This work demonstrates the need for careful attention to the reconstruction methods used for quantitative imaging studies, such as those required for theragnostic imaging.https://doi.org/10.1186/s40658-025-00722-xPET/CTZirconium-89Image qualityPhantomBSREMImage reconstruction |
| spellingShingle | Lara M. Bonney Matthew D. Walker Daniel R. McGowan Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels EJNMMI Physics PET/CT Zirconium-89 Image quality Phantom BSREM Image reconstruction |
| title | Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels |
| title_full | Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels |
| title_fullStr | Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels |
| title_full_unstemmed | Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels |
| title_short | Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels |
| title_sort | phantom based investigation of block sequential regularised expectation maximisation bsrem reconstruction for zirconium 89 pet ct for varied count levels |
| topic | PET/CT Zirconium-89 Image quality Phantom BSREM Image reconstruction |
| url | https://doi.org/10.1186/s40658-025-00722-x |
| work_keys_str_mv | AT larambonney phantombasedinvestigationofblocksequentialregularisedexpectationmaximisationbsremreconstructionforzirconium89petctforvariedcountlevels AT matthewdwalker phantombasedinvestigationofblocksequentialregularisedexpectationmaximisationbsremreconstructionforzirconium89petctforvariedcountlevels AT danielrmcgowan phantombasedinvestigationofblocksequentialregularisedexpectationmaximisationbsremreconstructionforzirconium89petctforvariedcountlevels |