Ultra-low dose imaging in a standard axial field-of-view PET
Abstract Though ultra-low dose (ULD) imaging offers notable benefits, its widespread clinical adoption faces challenges. Long-axial field-of-view (LAFOV) PET/CT systems are expensive and scarce, while artificial intelligence (AI) shows great potential but remains largely limited to specific systems...
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Springer
2025-07-01
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| Series: | EJNMMI Reports |
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| Online Access: | https://doi.org/10.1186/s41824-025-00261-9 |
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| author | Thiago Lima Carlos Vinícius Gomes Paul Fargier Klaus Strobel Antoine Leimgruber |
| author_facet | Thiago Lima Carlos Vinícius Gomes Paul Fargier Klaus Strobel Antoine Leimgruber |
| author_sort | Thiago Lima |
| collection | DOAJ |
| description | Abstract Though ultra-low dose (ULD) imaging offers notable benefits, its widespread clinical adoption faces challenges. Long-axial field-of-view (LAFOV) PET/CT systems are expensive and scarce, while artificial intelligence (AI) shows great potential but remains largely limited to specific systems and is not yet widely used in clinical practice. However, integrating AI techniques and technological advancements into ULD imaging is helping bridge the gap between standard axial field-of-view (SAFOV) and LAFOV PET/CT systems. This paper offers an initial evaluation of ULD capabilities using one of the latest SAFOV PET/CT device. A patient injected with 16.4 MBq 18F-FDG underwent a local protocol consisting of a dynamic acquisition (first 30 min) of the abdominal section and a static whole body 74 min post-injection on a GE Omni PET/CT. From the acquired images we computed the dosimetry and compared clinical output from kidney function and brain uptake to kidney model and normal databases, respectively. The effective PET dose for this patient was 0.27 ± 0.01 mSv and the absorbed doses were 0.56 mGy, 0.89 mGy and 0.20 mGy, respectively to the brain, heart, and kidneys. The recorded kidney concentration closely followed the kidney model, matching the increase and decrease in activity concentration over time. Normal values for the z-score were observed for the brain uptake, indicating typical brain function and activity patterns consistent with healthy individuals. The signal to noise ration obtained in this study (13.1) was comparable to the LAFOV reported values. This study shows promising capabilities of ultra-low-dose imaging in SAFOV PET devices, previously deemed unattainable with SAFOV PET imaging. |
| format | Article |
| id | doaj-art-8a52abced489484dbd99c09e8657eb98 |
| institution | Kabale University |
| issn | 3005-074X |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Springer |
| record_format | Article |
| series | EJNMMI Reports |
| spelling | doaj-art-8a52abced489484dbd99c09e8657eb982025-08-20T03:42:29ZengSpringerEJNMMI Reports3005-074X2025-07-01911910.1186/s41824-025-00261-9Ultra-low dose imaging in a standard axial field-of-view PETThiago Lima0Carlos Vinícius Gomes1Paul Fargier2Klaus Strobel3Antoine Leimgruber4Department of Radiology and Nuclear Medicine, Luzerner Kantonsspital, University Teaching and Research Hospital, University of LucerneDepartment of Radiology and Nuclear Medicine, Luzerner Kantonsspital, University Teaching and Research Hospital, University of LucerneDepartment of Nuclear Medicine, Swiss Medical NetworkDepartment of Radiology and Nuclear Medicine, Luzerner Kantonsspital, University Teaching and Research Hospital, University of LucerneDepartment of Radiology and Nuclear Medicine, Luzerner Kantonsspital, University Teaching and Research Hospital, University of LucerneAbstract Though ultra-low dose (ULD) imaging offers notable benefits, its widespread clinical adoption faces challenges. Long-axial field-of-view (LAFOV) PET/CT systems are expensive and scarce, while artificial intelligence (AI) shows great potential but remains largely limited to specific systems and is not yet widely used in clinical practice. However, integrating AI techniques and technological advancements into ULD imaging is helping bridge the gap between standard axial field-of-view (SAFOV) and LAFOV PET/CT systems. This paper offers an initial evaluation of ULD capabilities using one of the latest SAFOV PET/CT device. A patient injected with 16.4 MBq 18F-FDG underwent a local protocol consisting of a dynamic acquisition (first 30 min) of the abdominal section and a static whole body 74 min post-injection on a GE Omni PET/CT. From the acquired images we computed the dosimetry and compared clinical output from kidney function and brain uptake to kidney model and normal databases, respectively. The effective PET dose for this patient was 0.27 ± 0.01 mSv and the absorbed doses were 0.56 mGy, 0.89 mGy and 0.20 mGy, respectively to the brain, heart, and kidneys. The recorded kidney concentration closely followed the kidney model, matching the increase and decrease in activity concentration over time. Normal values for the z-score were observed for the brain uptake, indicating typical brain function and activity patterns consistent with healthy individuals. The signal to noise ration obtained in this study (13.1) was comparable to the LAFOV reported values. This study shows promising capabilities of ultra-low-dose imaging in SAFOV PET devices, previously deemed unattainable with SAFOV PET imaging.https://doi.org/10.1186/s41824-025-00261-9Ultra-low doseStandard field-of-viewPETBGO |
| spellingShingle | Thiago Lima Carlos Vinícius Gomes Paul Fargier Klaus Strobel Antoine Leimgruber Ultra-low dose imaging in a standard axial field-of-view PET EJNMMI Reports Ultra-low dose Standard field-of-view PET BGO |
| title | Ultra-low dose imaging in a standard axial field-of-view PET |
| title_full | Ultra-low dose imaging in a standard axial field-of-view PET |
| title_fullStr | Ultra-low dose imaging in a standard axial field-of-view PET |
| title_full_unstemmed | Ultra-low dose imaging in a standard axial field-of-view PET |
| title_short | Ultra-low dose imaging in a standard axial field-of-view PET |
| title_sort | ultra low dose imaging in a standard axial field of view pet |
| topic | Ultra-low dose Standard field-of-view PET BGO |
| url | https://doi.org/10.1186/s41824-025-00261-9 |
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