306 related articles for article (PubMed ID: 37369922)
1. Can 1.25 mm thin-section images generated with Deep Learning Image Reconstruction technique replace standard-of-care 5 mm images in abdominal CT?
Cao J; Mroueh N; Pisuchpen N; Parakh A; Lennartz S; Pierce TT; Kambadakone AR
Abdom Radiol (NY); 2023 Oct; 48(10):3253-3264. PubMed ID: 37369922
[TBL] [Abstract][Full Text] [Related]
2. Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations.
Parakh A; Cao J; Pierce TT; Blake MA; Savage CA; Kambadakone AR
Eur Radiol; 2021 Nov; 31(11):8342-8353. PubMed ID: 33893535
[TBL] [Abstract][Full Text] [Related]
3. Improving spatial resolution and diagnostic confidence with thinner slice and deep learning image reconstruction in contrast-enhanced abdominal CT.
Cao L; Liu X; Qu T; Cheng Y; Li J; Li Y; Chen L; Niu X; Tian Q; Guo J
Eur Radiol; 2023 Mar; 33(3):1603-1611. PubMed ID: 36190531
[TBL] [Abstract][Full Text] [Related]
4. Impact of deep learning-based image reconstruction on image quality compared with adaptive statistical iterative reconstruction-Veo in renal and adrenal computed tomography.
Bie Y; Yang S; Li X; Zhao K; Zhang C; Zhong H
J Xray Sci Technol; 2022; 30(3):409-418. PubMed ID: 35124575
[TBL] [Abstract][Full Text] [Related]
5. Quantitative and qualitative assessments of deep learning image reconstruction in low-keV virtual monoenergetic dual-energy CT.
Xu JJ; Lönn L; Budtz-Jørgensen E; Hansen KL; Ulriksen PS
Eur Radiol; 2022 Oct; 32(10):7098-7107. PubMed ID: 35895120
[TBL] [Abstract][Full Text] [Related]
6. Iterative reconstruction
Qu T; Guo Y; Li J; Cao L; Li Y; Chen L; Sun J; Lu X; Guo J
Br J Radiol; 2022 Dec; 95(1140):20220196. PubMed ID: 36341682
[TBL] [Abstract][Full Text] [Related]
7. Assessment of low-dose paranasal sinus CT imaging using a new deep learning image reconstruction technique in children compared to adaptive statistical iterative reconstruction V (ASiR-V).
Li Y; Liu X; Zhuang XH; Wang MJ; Song XF
BMC Med Imaging; 2022 Jun; 22(1):106. PubMed ID: 35658908
[TBL] [Abstract][Full Text] [Related]
8. Image Quality Improvement of Low-dose Abdominal CT using Deep Learning Image Reconstruction Compared with the Second Generation Iterative Reconstruction.
Kang HJ; Lee JM; Park SJ; Lee SM; Joo I; Yoon JH
Curr Med Imaging; 2024; 20():e250523217310. PubMed ID: 37231764
[TBL] [Abstract][Full Text] [Related]
9. Deep learning versus iterative image reconstruction algorithm for head CT in trauma.
Alagic Z; Diaz Cardenas J; Halldorsson K; Grozman V; Wallgren S; Suzuki C; Helmenkamp J; Koskinen SK
Emerg Radiol; 2022 Apr; 29(2):339-352. PubMed ID: 34984574
[TBL] [Abstract][Full Text] [Related]
10. Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers.
Zhong J; Wang L; Shen H; Li J; Lu W; Shi X; Xing Y; Hu Y; Ge X; Ding D; Yan F; Du L; Yao W; Zhang H
Eur Radiol; 2023 Aug; 33(8):5331-5343. PubMed ID: 36976337
[TBL] [Abstract][Full Text] [Related]
11. Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction.
Nam JG; Hong JH; Kim DS; Oh J; Goo JM
Eur Radiol; 2021 Aug; 31(8):5533-5543. PubMed ID: 33555354
[TBL] [Abstract][Full Text] [Related]
12. Evaluation of thin-slice abdominal DECT using deep-learning image reconstruction in 74 keV virtual monoenergetic images: an image quality comparison.
Xu JJ; Lönn L; Budtz-Jørgensen E; Jawad S; Ulriksen PS; Hansen KL
Abdom Radiol (NY); 2023 Apr; 48(4):1536-1544. PubMed ID: 36810705
[TBL] [Abstract][Full Text] [Related]
13. Application of deep learning image reconstruction in low-dose chest CT scan.
Wang H; Li LL; Shang J; Song J; Liu B
Br J Radiol; 2022 May; 95(1133):20210380. PubMed ID: 35084210
[TBL] [Abstract][Full Text] [Related]
14. Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise.
Kim JH; Yoon HJ; Lee E; Kim I; Cha YK; Bak SH
Korean J Radiol; 2021 Jan; 22(1):131-138. PubMed ID: 32729277
[TBL] [Abstract][Full Text] [Related]
15. Deep learning-based image reconstruction for brain CT: improved image quality compared with adaptive statistical iterative reconstruction-Veo (ASIR-V).
Kim I; Kang H; Yoon HJ; Chung BM; Shin NY
Neuroradiology; 2021 Jun; 63(6):905-912. PubMed ID: 33037503
[TBL] [Abstract][Full Text] [Related]
16. Application of deep learning image reconstruction algorithm to improve image quality in CT angiography of children with Takayasu arteritis.
Sun J; Li H; Li H; Li M; Gao Y; Zhou Z; Peng Y
J Xray Sci Technol; 2022; 30(1):177-184. PubMed ID: 34806646
[TBL] [Abstract][Full Text] [Related]
17. Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT.
Jiang B; Li N; Shi X; Zhang S; Li J; de Bock GH; Vliegenthart R; Xie X
Radiology; 2022 Apr; 303(1):202-212. PubMed ID: 35040674
[TBL] [Abstract][Full Text] [Related]
18. A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results.
Chu B; Gan L; Shen Y; Song J; Liu L; Li J; Liu B
J Digit Imaging; 2023 Dec; 36(6):2347-2355. PubMed ID: 37580484
[TBL] [Abstract][Full Text] [Related]
19. The image quality of deep-learning image reconstruction of chest CT images on a mediastinal window setting.
Hata A; Yanagawa M; Yoshida Y; Miyata T; Kikuchi N; Honda O; Tomiyama N
Clin Radiol; 2021 Feb; 76(2):155.e15-155.e23. PubMed ID: 33220941
[TBL] [Abstract][Full Text] [Related]
20. Deep learning image reconstruction for improving image quality of contrast-enhanced dual-energy CT in abdomen.
Sato M; Ichikawa Y; Domae K; Yoshikawa K; Kanii Y; Yamazaki A; Nagasawa N; Nagata M; Ishida M; Sakuma H
Eur Radiol; 2022 Aug; 32(8):5499-5507. PubMed ID: 35238970
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
