145 related articles for article (PubMed ID: 36878551)
1. [Possible Radiation Dose Reduction in Abdominal Plain CT Using Deep Learning Reconstruction].
Onizuka Y; Sakai Y; Shirasaka T; Kondo M; Kato T
Nihon Hoshasen Gijutsu Gakkai Zasshi; 2023 May; 79(5):446-452. PubMed ID: 36878551
[TBL] [Abstract][Full Text] [Related]
2. Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom Study.
Nagayama Y; Goto M; Sakabe D; Emoto T; Shigematsu S; Oda S; Tanoue S; Kidoh M; Nakaura T; Funama Y; Uchimura R; Takada S; Hayashi H; Hatemura M; Hirai T
AJR Am J Roentgenol; 2022 Aug; 219(2):315-324. PubMed ID: 35195431
[No Abstract] [Full Text] [Related]
3. Clinical acceptance of deep learning reconstruction for abdominal CT imaging: objective and subjective image quality and low-contrast detectability assessment.
Bornet PA; Villani N; Gillet R; Germain E; Lombard C; Blum A; Gondim Teixeira PA
Eur Radiol; 2022 May; 32(5):3161-3172. PubMed ID: 34989850
[TBL] [Abstract][Full Text] [Related]
4. Lung-Optimized Deep-Learning-Based Reconstruction for Ultralow-Dose CT.
Goto M; Nagayama Y; Sakabe D; Emoto T; Kidoh M; Oda S; Nakaura T; Taguchi N; Funama Y; Takada S; Uchimura R; Hayashi H; Hatemura M; Kawanaka K; Hirai T
Acad Radiol; 2023 Mar; 30(3):431-440. PubMed ID: 35738988
[TBL] [Abstract][Full Text] [Related]
5. Deep learning-based reconstruction can improve the image quality of low radiation dose head CT.
Nagayama Y; Iwashita K; Maruyama N; Uetani H; Goto M; Sakabe D; Emoto T; Nakato K; Shigematsu S; Kato Y; Takada S; Kidoh M; Oda S; Nakaura T; Hatemura M; Ueda M; Mukasa A; Hirai T
Eur Radiol; 2023 May; 33(5):3253-3265. PubMed ID: 36973431
[TBL] [Abstract][Full Text] [Related]
6. Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography.
Nagayama Y; Emoto T; Kato Y; Kidoh M; Oda S; Sakabe D; Funama Y; Nakaura T; Hayashi H; Takada S; Uchimura R; Hatemura M; Tsujita K; Hirai T
Eur Radiol; 2023 Dec; 33(12):8488-8500. PubMed ID: 37432405
[TBL] [Abstract][Full Text] [Related]
7. Image quality improvement with deep learning-based reconstruction on abdominal ultrahigh-resolution CT: A phantom study.
Shirasaka T; Kojima T; Funama Y; Sakai Y; Kondo M; Mikayama R; Hamasaki H; Kato T; Ushijima Y; Asayama Y; Nishie A
J Appl Clin Med Phys; 2021 Jul; 22(7):286-296. PubMed ID: 34159736
[TBL] [Abstract][Full Text] [Related]
8. Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction.
Brady SL; Trout AT; Somasundaram E; Anton CG; Li Y; Dillman JR
Radiology; 2021 Jan; 298(1):180-188. PubMed ID: 33201790
[TBL] [Abstract][Full Text] [Related]
9. Noise power spectrum properties of deep learning-based reconstruction and iterative reconstruction algorithms: Phantom and clinical study.
Funama Y; Nakaura T; Hasegawa A; Sakabe D; Oda S; Kidoh M; Nagayama Y; Hirai T
Eur J Radiol; 2023 Aug; 165():110914. PubMed ID: 37295358
[TBL] [Abstract][Full Text] [Related]
10. Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT.
Singh R; Digumarthy SR; Muse VV; Kambadakone AR; Blake MA; Tabari A; Hoi Y; Akino N; Angel E; Madan R; Kalra MK
AJR Am J Roentgenol; 2020 Mar; 214(3):566-573. PubMed ID: 31967501
[No Abstract] [Full Text] [Related]
11. Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative reconstruction and filtered back projection.
Tamura A; Mukaida E; Ota Y; Kamata M; Abe S; Yoshioka K
Br J Radiol; 2021 Jul; 94(1123):20201357. PubMed ID: 34142867
[TBL] [Abstract][Full Text] [Related]
12. Image quality and radiologists' subjective acceptance using model-based iterative and deep learning reconstructions as adjuncts to ultrahigh-resolution CT in low-dose contrast-enhanced abdominopelvic CT: phantom and clinical pilot studies.
Nishikawa M; Machida H; Shimizu Y; Kariyasu T; Morisaka H; Adachi T; Nakai T; Sakaguchi K; Saito S; Matsumoto S; Koyanagi M; Yokoyama K
Abdom Radiol (NY); 2022 Feb; 47(2):891-902. PubMed ID: 34914007
[TBL] [Abstract][Full Text] [Related]
13. Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT.
Nakamura Y; Narita K; Higaki T; Akagi M; Honda Y; Awai K
Eur Radiol; 2021 Jul; 31(7):4700-4709. PubMed ID: 33389036
[TBL] [Abstract][Full Text] [Related]
14. Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study.
Greffier J; Durand Q; Frandon J; Si-Mohamed S; Loisy M; de Oliveira F; Beregi JP; Dabli D
Eur Radiol; 2023 Jan; 33(1):699-710. PubMed ID: 35864348
[TBL] [Abstract][Full Text] [Related]
15. Deep learning-based reconstruction may improve non-contrast cerebral CT imaging compared to other current reconstruction algorithms.
Oostveen LJ; Meijer FJA; de Lange F; Smit EJ; Pegge SA; Steens SCA; van Amerongen MJ; Prokop M; Sechopoulos I
Eur Radiol; 2021 Aug; 31(8):5498-5506. PubMed ID: 33693996
[TBL] [Abstract][Full Text] [Related]
16. [Physical Properties of Small Focal Spot Imaging with Deep Learning Reconstruction in Chest-abdominal Plain CT].
Fujiwara M; Shiotsuki K; Kawano M; Noto D; Maruyama K; Miyazaki M
Nihon Hoshasen Gijutsu Gakkai Zasshi; 2023 Dec; 79(12):1344-1351. PubMed ID: 37880079
[TBL] [Abstract][Full Text] [Related]
17. Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction.
Zhang D; Mu C; Zhang X; Yan J; Xu M; Wang Y; Wang Y; Xue H; Chen Y; Jin Z
BMC Med Imaging; 2023 Feb; 23(1):33. PubMed ID: 36800947
[TBL] [Abstract][Full Text] [Related]
18. Spatial resolution, noise properties, and detectability index of a deep learning reconstruction algorithm for dual-energy CT of the abdomen.
Thor D; Titternes R; Poludniowski G
Med Phys; 2023 May; 50(5):2775-2786. PubMed ID: 36774193
[TBL] [Abstract][Full Text] [Related]
19. Impact of an artificial intelligence deep-learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study.
Greffier J; Si-Mohamed S; Frandon J; Loisy M; de Oliveira F; Beregi JP; Dabli D
Med Phys; 2022 Aug; 49(8):5052-5063. PubMed ID: 35696272
[TBL] [Abstract][Full Text] [Related]
20. Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.
Akagi M; Nakamura Y; Higaki T; Narita K; Honda Y; Zhou J; Yu Z; Akino N; Awai K
Eur Radiol; 2019 Nov; 29(11):6163-6171. PubMed ID: 30976831
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]