266 related articles for article (PubMed ID: 34856519)
1. A deep-learning reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography.
Wang M; Fan J; Shi X; Qin L; Yan F; Yang W
Eur J Radiol; 2022 Jan; 146():110070. PubMed ID: 34856519
[TBL] [Abstract][Full Text] [Related]
2. High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast doses.
Li W; Diao K; Wen Y; Shuai T; You Y; Zhao J; Liao K; Lu C; Yu J; He Y; Li Z
Eur Radiol; 2022 May; 32(5):2912-2920. PubMed ID: 35059803
[TBL] [Abstract][Full Text] [Related]
3. Deep learning image reconstruction algorithm: impact on image quality in coronary computed tomography angiography.
De Santis D; Polidori T; Tremamunno G; Rucci C; Piccinni G; Zerunian M; Pugliese L; Del Gaudio A; Guido G; Barbato L; Laghi A; Caruso D
Radiol Med; 2023 Apr; 128(4):434-444. PubMed ID: 36847992
[TBL] [Abstract][Full Text] [Related]
4. Assessment of Image Quality of Coronary Computed Tomography Angiography in Obese Patients by Comparing Deep Learning Image Reconstruction With Adaptive Statistical Iterative Reconstruction Veo.
Wang H; Wang R; Li Y; Zhou Z; Gao Y; Bo K; Yu M; Sun Z; Xu L
J Comput Assist Tomogr; 2022 Jan-Feb 01; 46(1):34-40. PubMed ID: 35099134
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Deep Learning Image Reconstruction Algorithm for CCTA: Image Quality Assessment and Clinical Application.
Catapano F; Lisi C; Savini G; Olivieri M; Figliozzi S; Caracciolo A; Monti L; Francone M
J Comput Assist Tomogr; 2024 Mar-Apr 01; 48(2):217-221. PubMed ID: 37621087
[TBL] [Abstract][Full Text] [Related]
7. Reducing both radiation and contrast doses for overweight patients in coronary CT angiography with 80-kVp and deep learning image reconstruction.
Li W; Lu H; Wen Y; Zhou M; Shuai T; You Y; Zhao J; Liao K; Lu C; Li J; Li Z; Diao K; He Y
Eur J Radiol; 2023 Apr; 161():110736. PubMed ID: 36804314
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy.
Benz DC; Benetos G; Rampidis G; von Felten E; Bakula A; Sustar A; Kudura K; Messerli M; Fuchs TA; Gebhard C; Pazhenkottil AP; Kaufmann PA; Buechel RR
J Cardiovasc Comput Tomogr; 2020; 14(5):444-451. PubMed ID: 31974008
[TBL] [Abstract][Full Text] [Related]
10. Image quality of coronary CT angiography at ultra low tube voltage reconstructed with a deep-learning image reconstruction algorithm in patients of different weight.
Zhu L; Ha R; Machida H; Shi X; Wang F; Chen K; Chen D; Cao Y; Shen Y; Yang L
Quant Imaging Med Surg; 2023 Jun; 13(6):3891-3901. PubMed ID: 37284103
[TBL] [Abstract][Full Text] [Related]
11. Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography.
Benz DC; Ersözlü S; Mojon FLA; Messerli M; Mitulla AK; Ciancone D; Kenkel D; Schaab JA; Gebhard C; Pazhenkottil AP; Kaufmann PA; Buechel RR
Eur Radiol; 2022 Apr; 32(4):2620-2628. PubMed ID: 34792635
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Effect of deep learning image reconstruction with high-definition standard scan mode on image quality of coronary stents and arteries.
Liu M; Chen X; Liu W; Guo Y; Zhu Y; Duan Y; Huang W; Kong W; Yan C; Qin J
Quant Imaging Med Surg; 2024 Feb; 14(2):1616-1635. PubMed ID: 38415168
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Deep-learning image reconstruction for image quality evaluation and accurate bone mineral density measurement on quantitative CT: A phantom-patient study.
Li Y; Jiang Y; Yu X; Ren B; Wang C; Chen S; Ma D; Su D; Liu H; Ren X; Yang X; Gao J; Wu Y
Front Endocrinol (Lausanne); 2022; 13():884306. PubMed ID: 36034436
[TBL] [Abstract][Full Text] [Related]
16. Deep learning imaging reconstruction of reduced-dose 40 keV virtual monoenergetic imaging for early detection of colorectal cancer liver metastases.
Li S; Yuan L; Lu T; Yang X; Ren W; Wang L; Zhao J; Deng J; Liu X; Xue C; Sun Q; Zhang W; Zhou J
Eur J Radiol; 2023 Nov; 168():111128. PubMed ID: 37816301
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. The value of a deep learning image reconstruction algorithm in whole-brain computed tomography perfusion in patients with acute ischemic stroke.
Lei L; Zhou Y; Guo X; Wang L; Zhao X; Wang H; Ma J; Yue S
Quant Imaging Med Surg; 2023 Dec; 13(12):8173-8189. PubMed ID: 38106310
[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. Improving image quality and resolution of coronary arteries in coronary computed tomography angiography by using high-definition scans and deep learning image reconstruction.
Wang Y; Wang G; Huang X; Zhao W; Zeng Q; Li Y; Guo J
Quant Imaging Med Surg; 2023 May; 13(5):2933-2940. PubMed ID: 37179907
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
