232 related articles for article (PubMed ID: 37904089)
21. Ultra-High-Resolution Coronary CT Angiography With Photon-Counting Detector CT: Feasibility and Image Characterization.
Mergen V; Sartoretti T; Baer-Beck M; Schmidt B; Petersilka M; Wildberger JE; Euler A; Eberhard M; Alkadhi H
Invest Radiol; 2022 Dec; 57(12):780-788. PubMed ID: 35640019
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative reconstruction and filtered back projection.
Tamura A; Mukaida E; Ota Y; Kamata M; Abe S; Yoshioka K
Br J Radiol; 2021 Jul; 94(1123):20201357. PubMed ID: 34142867
[TBL] [Abstract][Full Text] [Related]
24. A preliminary study of super-resolution deep learning reconstruction with cardiac option for evaluation of endovascular-treated intracranial aneurysms.
Otgonbaatar C; Kim H; Jeon PH; Jeon SH; Cha SJ; Ryu JK; Jung WB; Shim H; Ko SM; Kim JW
Br J Radiol; 2024 Jun; ():. PubMed ID: 38917414
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Lung-Optimized Deep-Learning-Based Reconstruction for Ultralow-Dose CT.
Goto M; Nagayama Y; Sakabe D; Emoto T; Kidoh M; Oda S; Nakaura T; Taguchi N; Funama Y; Takada S; Uchimura R; Hayashi H; Hatemura M; Kawanaka K; Hirai T
Acad Radiol; 2023 Mar; 30(3):431-440. PubMed ID: 35738988
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. Coronary stent imaging with dual-source CT: assessment of lumen visibility using different convolution kernels and postprocessing filters.
Ulrich A; Burg MC; Raupach R; Bunck A; Schuelke C; Maintz D; Heindel W; Seifarth H
Acta Radiol; 2015 Jan; 56(1):42-50. PubMed ID: 24399513
[TBL] [Abstract][Full Text] [Related]
29. Non-inferior low-dose coronary computed tomography angiography image quality with knowledge-based iterative model reconstruction for overweight patients.
Park IK; Park J; Kim TH; Lee J; Han K; Oh C; Park CH
PLoS One; 2018; 13(12):e0209243. PubMed ID: 30586449
[TBL] [Abstract][Full Text] [Related]
30. 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]
31. Super resolution deep learning reconstruction for coronary CT angiography: A structured phantom study.
Higaki T; Tatsugami F; Ohana M; Nakamura Y; Kawashita I; Awai K
Eur J Radiol Open; 2024 Jun; 12():100570. PubMed ID: 38828096
[TBL] [Abstract][Full Text] [Related]
32. Deep learning image reconstruction for improvement of image quality of abdominal computed tomography: comparison with hybrid iterative reconstruction.
Ichikawa Y; Kanii Y; Yamazaki A; Nagasawa N; Nagata M; Ishida M; Kitagawa K; Sakuma H
Jpn J Radiol; 2021 Jun; 39(6):598-604. PubMed ID: 33449305
[TBL] [Abstract][Full Text] [Related]
33. Diagnostic efficacy of model-based iterative reconstruction algorithm in an assessment of coronary artery in comparison with standard hybrid-Iterative reconstruction algorithm: dose reduction and image quality.
Ippolito D; Riva L; Talei Franzesi CR; Cangiotti C; De Vito A; Di Gennaro F; D'andrea G; Crespi A; Sironi S
Radiol Med; 2019 May; 124(5):350-359. PubMed ID: 30539411
[TBL] [Abstract][Full Text] [Related]
34. [The application value of deep learning image reconstruction on improving image quality and evaluating the Qanadli embolism index of dual low-dose CT pulmonary angiography].
Qiu SM; Zhang H; Liu ZX; Zhang L; Meng YK; Sun XN; Xie LX; Zhang YC; Wang H; Xu K
Zhonghua Yi Xue Za Zhi; 2023 May; 103(19):1477-1482. PubMed ID: 37198110
[No Abstract] [Full Text] [Related]
35. Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction.
Hong JH; Park EA; Lee W; Ahn C; Kim JH
Korean J Radiol; 2020 Oct; 21(10):1165-1177. PubMed ID: 32729262
[TBL] [Abstract][Full Text] [Related]
36. 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]
37. Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.
Akagi M; Nakamura Y; Higaki T; Narita K; Honda Y; Zhou J; Yu Z; Akino N; Awai K
Eur Radiol; 2019 Nov; 29(11):6163-6171. PubMed ID: 30976831
[TBL] [Abstract][Full Text] [Related]
38. Coronary computed tomography angiography with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination.
Fuchs TA; Stehli J; Bull S; Dougoud S; Clerc OF; Herzog BA; Buechel RR; Gaemperli O; Kaufmann PA
Eur Heart J; 2014 May; 35(17):1131-6. PubMed ID: 24553723
[TBL] [Abstract][Full Text] [Related]
39. Noise power spectrum properties of deep learning-based reconstruction and iterative reconstruction algorithms: Phantom and clinical study.
Funama Y; Nakaura T; Hasegawa A; Sakabe D; Oda S; Kidoh M; Nagayama Y; Hirai T
Eur J Radiol; 2023 Aug; 165():110914. PubMed ID: 37295358
[TBL] [Abstract][Full Text] [Related]
40. CT evaluation of coronary artery stents with iterative image reconstruction: improvements in image quality and potential for radiation dose reduction.
Ebersberger U; Tricarico F; Schoepf UJ; Blanke P; Spears JR; Rowe GW; Halligan WT; Henzler T; Bamberg F; Leber AW; Hoffmann E; Apfaltrer P
Eur Radiol; 2013 Jan; 23(1):125-32. PubMed ID: 22777622
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
