264 related articles for article (PubMed ID: 37816301)
21. Assessment of a model-based, iterative reconstruction algorithm (MBIR) regarding image quality and dose reduction in liver computed tomography.
Chang W; Lee JM; Lee K; Yoon JH; Yu MH; Han JK; Choi BI
Invest Radiol; 2013 Aug; 48(8):598-606. PubMed ID: 23511193
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. 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]
24. Deep learning-based image reconstruction of 40-keV virtual monoenergetic images of dual-energy CT for the assessment of hypoenhancing hepatic metastasis.
Lee T; Lee JM; Yoon JH; Joo I; Bae JS; Yoo J; Kim JH; Ahn C; Kim JH
Eur Radiol; 2022 Sep; 32(9):6407-6417. PubMed ID: 35380228
[TBL] [Abstract][Full Text] [Related]
25. Diagnostic performance and image quality of deep learning image reconstruction (DLIR) on unenhanced low-dose abdominal CT for urolithiasis.
Delabie A; Bouzerar R; Pichois R; Desdoit X; Vial J; Renard C
Acta Radiol; 2022 Sep; 63(9):1283-1292. PubMed ID: 34365803
[TBL] [Abstract][Full Text] [Related]
26. Deep learning reconstruction vs standard reconstruction for abdominal CT: the influence of BMI.
Wang H; Yue S; Liu N; Chen Y; Zhan P; Liu X; Shang B; Wang L; Li Z; Gao J; Lyu P
Eur Radiol; 2024 Mar; 34(3):1614-1623. PubMed ID: 37650972
[TBL] [Abstract][Full Text] [Related]
27. A study of using a deep learning image reconstruction to improve the image quality of extremely low-dose contrast-enhanced abdominal CT for patients with hepatic lesions.
Cao L; Liu X; Li J; Qu T; Chen L; Cheng Y; Hu J; Sun J; Guo J
Br J Radiol; 2021 Feb; 94(1118):20201086. PubMed ID: 33242256
[TBL] [Abstract][Full Text] [Related]
28. 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]
29. Impact of novel deep learning image reconstruction algorithm on diagnosis of contrast-enhanced liver computed tomography imaging: Comparing to adaptive statistical iterative reconstruction algorithm.
Yang S; Bie Y; Pang G; Li X; Zhao K; Zhang C; Zhong H
J Xray Sci Technol; 2021; 29(6):1009-1018. PubMed ID: 34569983
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative reconstruction in abdominal CT: A phantom study.
Racine D; Becce F; Viry A; Monnin P; Thomsen B; Verdun FR; Rotzinger DC
Phys Med; 2020 Aug; 76():28-37. PubMed ID: 32574999
[TBL] [Abstract][Full Text] [Related]
32. Deep-learning-based image reconstruction in dynamic contrast-enhanced abdominal CT: image quality and lesion detection among reconstruction strength levels.
Kaga T; Noda Y; Fujimoto K; Suto T; Kawai N; Miyoshi T; Hyodo F; Matsuo M
Clin Radiol; 2021 Sep; 76(9):710.e15-710.e24. PubMed ID: 33879322
[TBL] [Abstract][Full Text] [Related]
33. Pulmonary emphysema quantification at low dose chest CT using Deep Learning image reconstruction.
Ferri F; Bouzerar R; Auquier M; Vial J; Renard C
Eur J Radiol; 2022 Jul; 152():110338. PubMed ID: 35533559
[TBL] [Abstract][Full Text] [Related]
34. Deep learning image reconstruction algorithms in low-dose radiation abdominal computed tomography: assessment of image quality and lesion diagnostic confidence.
Yang C; Wang W; Cui D; Zhang J; Liu L; Wang Y; Li W
Quant Imaging Med Surg; 2023 May; 13(5):3161-3173. PubMed ID: 37179954
[TBL] [Abstract][Full Text] [Related]
35. 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]
36. Dual-energy CT in patients with colorectal cancer: Improved assessment of hypoattenuating liver metastases using noise-optimized virtual monoenergetic imaging.
Lenga L; Czwikla R; Wichmann JL; Leithner D; Albrecht MH; Booz C; Arendt CT; Yel I; D'Angelo T; Vogl TJ; Martin SS
Eur J Radiol; 2018 Sep; 106():184-191. PubMed ID: 30150043
[TBL] [Abstract][Full Text] [Related]
37. Deep learning-based iodine contrast-augmenting algorithm for low-contrast-dose liver CT to assess hypovascular hepatic metastasis.
Lee T; Yoon JH; Park JY; Lee J; Choi JW; Ahn C; Lee JM
Abdom Radiol (NY); 2023 Nov; 48(11):3430-3440. PubMed ID: 37704805
[TBL] [Abstract][Full Text] [Related]
38. Clinical evaluation of image quality and radiation dose reduction in upper abdominal computed tomography using model-based iterative reconstruction; comparison with filtered back projection and adaptive statistical iterative reconstruction.
Nakamoto A; Kim T; Hori M; Onishi H; Tsuboyama T; Sakane M; Tatsumi M; Tomiyama N
Eur J Radiol; 2015 Sep; 84(9):1715-23. PubMed ID: 26037266
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. 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]
[Previous] [Next] [New Search]
