194 related articles for article (PubMed ID: 36100524)
1. Contribution of an artificial intelligence deep-learning reconstruction algorithm for dose optimization in lumbar spine CT examination: A phantom study.
Greffier J; Frandon J; Durand Q; Kammoun T; Loisy M; Beregi JP; Dabli D
Diagn Interv Imaging; 2023 Feb; 104(2):76-83. PubMed ID: 36100524
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. Comparison of two deep learning image reconstruction algorithms in chest CT images: A task-based image quality assessment on phantom data.
Greffier J; Frandon J; Si-Mohamed S; Dabli D; Hamard A; Belaouni A; Akessoul P; Besse F; Guiu B; Beregi JP
Diagn Interv Imaging; 2022 Jan; 103(1):21-30. PubMed ID: 34493475
[TBL] [Abstract][Full Text] [Related]
5. Optimization of radiation dose for CT detection of lytic and sclerotic bone lesions: a phantom study.
Greffier J; Frandon J; Pereira F; Hamard A; Beregi JP; Larbi A; Omoumi P
Eur Radiol; 2020 Feb; 30(2):1075-1078. PubMed ID: 31506818
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study.
Greffier J; Hamard A; Pereira F; Barrau C; Pasquier H; Beregi JP; Frandon J
Eur Radiol; 2020 Jul; 30(7):3951-3959. PubMed ID: 32100091
[TBL] [Abstract][Full Text] [Related]
8. Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics.
Higaki T; Nakamura Y; Zhou J; Yu Z; Nemoto T; Tatsugami F; Awai K
Acad Radiol; 2020 Jan; 27(1):82-87. PubMed ID: 31818389
[TBL] [Abstract][Full Text] [Related]
9. Phantom task-based image quality assessment of three generations of rapid kV-switching dual-energy CT systems on virtual monoenergetic images.
Greffier J; Viry A; Barbotteau Y; Frandon J; Loisy M; de Oliveira F; Beregi JP; Dabli D
Med Phys; 2022 Apr; 49(4):2233-2244. PubMed ID: 35184293
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study.
Choi H; Chang W; Kim JH; Ahn C; Lee H; Kim HY; Cho J; Lee YJ; Kim YH
Eur Radiol; 2022 Feb; 32(2):1247-1255. PubMed ID: 34390372
[TBL] [Abstract][Full Text] [Related]
12. Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom study.
Nagayama Y; Goto M; Sakabe D; Emoto T; Shigematsu S; Taguchi N; Maruyama N; Takada S; Uchimura R; Hayashi H; Kidoh M; Oda S; Nakaura T; Funama Y; Hatemura M; Hirai T
Eur J Radiol; 2022 Jun; 151():110280. PubMed ID: 35381567
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Impact of dose reduction and the use of an advanced model-based iterative reconstruction algorithm on spectral performance of a dual-source CT system: A task-based image quality assessment.
Greffier J; Dabli D; Hamard A; Akessoul P; Belaouni A; Beregi JP; Frandon J
Diagn Interv Imaging; 2021; 102(7-8):405-412. PubMed ID: 33820752
[TBL] [Abstract][Full Text] [Related]
15. Noise and spatial resolution properties of a commercially available deep learning-based CT reconstruction algorithm.
Solomon J; Lyu P; Marin D; Samei E
Med Phys; 2020 Sep; 47(9):3961-3971. PubMed ID: 32506661
[TBL] [Abstract][Full Text] [Related]
16. Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: A phantom study.
Greffier J; Dabli D; Frandon J; Hamard A; Belaouni A; Akessoul P; Fuamba Y; Le Roy J; Guiu B; Beregi JP
Med Phys; 2021 Oct; 48(10):5743-5755. PubMed ID: 34418110
[TBL] [Abstract][Full Text] [Related]
17. Comparison of image quality between spectral photon-counting CT and dual-layer CT for the evaluation of lung nodules: a phantom study.
Si-Mohamed SA; Greffier J; Miailhes J; Boccalini S; Rodesch PA; Vuillod A; van der Werf N; Dabli D; Racine D; Rotzinger D; Becce F; Yagil Y; Coulon P; Vlassenbroek A; Boussel L; Beregi JP; Douek P
Eur Radiol; 2022 Jan; 32(1):524-532. PubMed ID: 34185147
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT.
Son W; Kim M; Hwang JY; Kim YW; Park C; Choo KS; Kim TU; Jang JY
Korean J Radiol; 2022 Jul; 23(7):752-762. PubMed ID: 35695313
[TBL] [Abstract][Full Text] [Related]
20. CT iterative reconstruction algorithms: a task-based image quality assessment.
Greffier J; Frandon J; Larbi A; Beregi JP; Pereira F
Eur Radiol; 2020 Jan; 30(1):487-500. PubMed ID: 31359122
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]