276 related articles for article (PubMed ID: 34597178)
1. Deep Learning-based Reconstruction for Lower-Dose Pediatric CT: Technical Principles, Image Characteristics, and Clinical Implementations.
Nagayama Y; Sakabe D; Goto M; Emoto T; Oda S; Nakaura T; Kidoh M; Uetani H; Funama Y; Hirai T
Radiographics; 2021; 41(7):1936-1953. PubMed ID: 34597178
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. 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]
5. 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]
6. Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction.
Yoon H; Kim J; Lim HJ; Lee MJ
BMC Med Imaging; 2021 Oct; 21(1):146. PubMed ID: 34629049
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Deep Learning Image Reconstruction for CT: Technical Principles and Clinical Prospects.
Koetzier LR; Mastrodicasa D; Szczykutowicz TP; van der Werf NR; Wang AS; Sandfort V; van der Molen AJ; Fleischmann D; Willemink MJ
Radiology; 2023 Mar; 306(3):e221257. PubMed ID: 36719287
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis.
van Stiphout JA; Driessen J; Koetzier LR; Ruules LB; Willemink MJ; Heemskerk JWT; van der Molen AJ
Eur Radiol; 2022 May; 32(5):2921-2929. PubMed ID: 34913104
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. 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]
13. Implementation of AI image reconstruction in CT-how is it validated and what dose reductions can be achieved.
Brady SL
Br J Radiol; 2023 Oct; 96(1150):20220915. PubMed ID: 37102695
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. 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]
18. Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction.
Otgonbaatar C; Ryu JK; Shin J; Woo JY; Seo JW; Shim H; Hwang DH
Korean J Radiol; 2022 Nov; 23(11):1044-1054. PubMed ID: 36196766
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]