Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging
Rationale and objectivesWe aimed to evaluate the impact of four-dimensional noise reduction filtering using a four-dimensional similarity filter (4D-SF) on radiation dose reduction in dynamic myocardial computed tomography perfusion (CTP).Materials and methodsForty-three patients who underwent dynam...
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| Format: | Article |
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Frontiers Media S.A.
2023-12-01
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| Series: | Frontiers in Radiology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fradi.2023.1214521/full |
| _version_ | 1827619945501949952 |
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| author | Yuta Yamamoto Yuki Tanabe Akira Kurata Akira Kurata Shuhei Yamamoto Tomoyuki Kido Teruyoshi Uetani Shuntaro Ikeda Shota Nakano Osamu Yamaguchi Teruhito Kido |
| author_facet | Yuta Yamamoto Yuki Tanabe Akira Kurata Akira Kurata Shuhei Yamamoto Tomoyuki Kido Teruyoshi Uetani Shuntaro Ikeda Shota Nakano Osamu Yamaguchi Teruhito Kido |
| author_sort | Yuta Yamamoto |
| collection | DOAJ |
| description | Rationale and objectivesWe aimed to evaluate the impact of four-dimensional noise reduction filtering using a four-dimensional similarity filter (4D-SF) on radiation dose reduction in dynamic myocardial computed tomography perfusion (CTP).Materials and methodsForty-three patients who underwent dynamic myocardial CTP using 320-row computed tomography (CT) were included in the study. The original images were reconstructed using iterative reconstruction (IR). Three different CTP datasets with simulated noise, corresponding to 25%, 50%, and 75% reduction of the original dose (300 mA), were reconstructed using a combination of IR and 4D-SF. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were assessed, and CT-derived myocardial blood flow (CT-MBF) was quantified. The results were compared between the original and simulated images with radiation dose reduction.ResultsThe median SNR (first quartile–third quartile) at the original, 25%-, 50%-, and 75%-dose reduced-simulated images with 4D-SF was 8.3 (6.5–10.2), 16.5 (11.9–21.7), 15.6 (11.0–20.1), and 12.8 (8.8–18.1) and that of CNR was 4.4 (3.2–5.8), 6.7 (4.6–10.3), 6.6 (4.3–10.1), and 5.5 (3.5–9.1), respectively. All the dose-reduced-simulated CTPs with 4D-SF had significantly higher image quality scores in SNR and CNR than the original ones (25%-, 50%-, and 75%-dose reduced vs. original images, p < 0.05, in each). The CT-MBF in 75%-dose reduced-simulated CTP was significantly lower than 25%-, 50%- dose-reduced-simulated, and original CTPs (vs. 75%-dose reduced-simulated images, p < 0.05, in each).Conclusion4D-SF has the potential to reduce the radiation dose associated with dynamic myocardial CTP imaging by half, without impairing the robustness of MBF quantification. |
| first_indexed | 2024-03-09T10:39:46Z |
| format | Article |
| id | doaj.art-94632f938c124b46b410bf7b721430b8 |
| institution | Directory Open Access Journal |
| issn | 2673-8740 |
| language | English |
| last_indexed | 2024-03-09T10:39:46Z |
| publishDate | 2023-12-01 |
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| series | Frontiers in Radiology |
| spelling | doaj.art-94632f938c124b46b410bf7b721430b82023-12-01T16:26:58ZengFrontiers Media S.A.Frontiers in Radiology2673-87402023-12-01310.3389/fradi.2023.12145211214521Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imagingYuta Yamamoto0Yuki Tanabe1Akira Kurata2Akira Kurata3Shuhei Yamamoto4Tomoyuki Kido5Teruyoshi Uetani6Shuntaro Ikeda7Shota Nakano8Osamu Yamaguchi9Teruhito Kido10Department of Radiology, Ehime University Graduate School of Medicine, Toon, JapanDepartment of Radiology, Ehime University Graduate School of Medicine, Toon, JapanDepartment of Radiology, Ehime University Graduate School of Medicine, Toon, JapanDepartment of Cardiology, National Hospital Organization Shikoku Cancer Center, Matsuyama, JapanDepartment of Radiology, Ehime University Graduate School of Medicine, Toon, JapanDepartment of Radiology, Ehime University Graduate School of Medicine, Toon, JapanDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, JapanDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, JapanCanon Medical Systems Corporation, Otawara, JapanDepartment of Cardiology, Pulmonology, Hypertension and Nephrology, Ehime University Graduate School of Medicine, Toon, JapanDepartment of Radiology, Ehime University Graduate School of Medicine, Toon, JapanRationale and objectivesWe aimed to evaluate the impact of four-dimensional noise reduction filtering using a four-dimensional similarity filter (4D-SF) on radiation dose reduction in dynamic myocardial computed tomography perfusion (CTP).Materials and methodsForty-three patients who underwent dynamic myocardial CTP using 320-row computed tomography (CT) were included in the study. The original images were reconstructed using iterative reconstruction (IR). Three different CTP datasets with simulated noise, corresponding to 25%, 50%, and 75% reduction of the original dose (300 mA), were reconstructed using a combination of IR and 4D-SF. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were assessed, and CT-derived myocardial blood flow (CT-MBF) was quantified. The results were compared between the original and simulated images with radiation dose reduction.ResultsThe median SNR (first quartile–third quartile) at the original, 25%-, 50%-, and 75%-dose reduced-simulated images with 4D-SF was 8.3 (6.5–10.2), 16.5 (11.9–21.7), 15.6 (11.0–20.1), and 12.8 (8.8–18.1) and that of CNR was 4.4 (3.2–5.8), 6.7 (4.6–10.3), 6.6 (4.3–10.1), and 5.5 (3.5–9.1), respectively. All the dose-reduced-simulated CTPs with 4D-SF had significantly higher image quality scores in SNR and CNR than the original ones (25%-, 50%-, and 75%-dose reduced vs. original images, p < 0.05, in each). The CT-MBF in 75%-dose reduced-simulated CTP was significantly lower than 25%-, 50%- dose-reduced-simulated, and original CTPs (vs. 75%-dose reduced-simulated images, p < 0.05, in each).Conclusion4D-SF has the potential to reduce the radiation dose associated with dynamic myocardial CTP imaging by half, without impairing the robustness of MBF quantification.https://www.frontiersin.org/articles/10.3389/fradi.2023.1214521/fullcomputed tomography perfusionfour-dimensional similarity filterradiation dose reductionsignal-to-noise ratiomyocardial blood flow |
| spellingShingle | Yuta Yamamoto Yuki Tanabe Akira Kurata Akira Kurata Shuhei Yamamoto Tomoyuki Kido Teruyoshi Uetani Shuntaro Ikeda Shota Nakano Osamu Yamaguchi Teruhito Kido Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging Frontiers in Radiology computed tomography perfusion four-dimensional similarity filter radiation dose reduction signal-to-noise ratio myocardial blood flow |
| title | Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging |
| title_full | Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging |
| title_fullStr | Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging |
| title_full_unstemmed | Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging |
| title_short | Feasibility of four-dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging |
| title_sort | feasibility of four dimensional similarity filter for radiation dose reduction in dynamic myocardial computed tomography perfusion imaging |
| topic | computed tomography perfusion four-dimensional similarity filter radiation dose reduction signal-to-noise ratio myocardial blood flow |
| url | https://www.frontiersin.org/articles/10.3389/fradi.2023.1214521/full |
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