Detalhe da pesquisa
1.
The Feasibility of Deep Learning-Based Reconstruction for Low-Tube-Voltage CT Angiography for Transcatheter Aortic Valve Implantation.
J Comput Assist Tomogr
; 48(1): 77-84, 2024.
Artigo
em Inglês
| MEDLINE | ID: mdl-37574664
2.
New transluminal attenuation gradient derived from dynamic coronary CT angiography: diagnostic ability of ischemia detected by 13N-ammonia PET.
Heart Vessels
; 36(4): 433-441, 2021 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-33048244
3.
Image quality improvement with deep learning-based reconstruction on abdominal ultrahigh-resolution CT: A phantom study.
J Appl Clin Med Phys
; 22(7): 286-296, 2021 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-34159736
4.
Low Radiation Dose and High Image Quality of 320-Row Coronary Computed Tomography Angiography Using a Small Dose of Contrast Medium and Refined Scan Timing Prediction.
J Comput Assist Tomogr
; 44(1): 7-12, 2020.
Artigo
em Inglês
| MEDLINE | ID: mdl-31939875
5.
Dynamic flow imaging using 320-detector row CT and motion coherence analysis in coronary aneurysms associated with Kawasaki disease.
Cardiol Young
; 28(3): 416-420, 2018 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-29239297
6.
[Improvement of Image Quality in the Axial Section Using High-resolution Scan Mode and Hybrid Iterative Reconstruction in Ultra-high-resolution Computed Tomography].
Nihon Hoshasen Gijutsu Gakkai Zasshi
; 74(12): 1419-1427, 2018 12.
Artigo
em Japonês
| MEDLINE | ID: mdl-30568092
7.
Paradoxical Effect of Cardiac Output on Arterial Enhancement at Computed Tomography: Does Cardiac Output Reduction Simply Result in an Increase in Aortic Peak Enhancement?
J Comput Assist Tomogr
; 41(3): 349-353, 2017.
Artigo
em Inglês
| MEDLINE | ID: mdl-28471868
8.
Characteristics of the deep learning-based virtual monochromatic image with fast kilovolt-switching CT: a phantom study.
Radiol Phys Technol
; 16(1): 77-84, 2023 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-36583827
9.
[Possible Radiation Dose Reduction in Abdominal Plain CT Using Deep Learning Reconstruction].
Nihon Hoshasen Gijutsu Gakkai Zasshi
; 79(5): 446-452, 2023 May 20.
Artigo
em Japonês
| MEDLINE | ID: mdl-36878551
10.
Impact of a new deep-learning-based reconstruction algorithm on image quality in ultra-high-resolution CT: clinical observational and phantom studies.
Br J Radiol
; 96(1141): 20220731, 2023 Jan 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-36318483
11.
A deep learning model based on fusion images of chest radiography and X-ray sponge images supports human visual characteristics of retained surgical items detection.
Int J Comput Assist Radiol Surg
; 18(8): 1459-1467, 2023 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-36583837
12.
Deep-learning reconstruction for ultra-low-dose lung CT: Volumetric measurement accuracy and reproducibility of artificial ground-glass nodules in a phantom study.
Br J Radiol
; 95(1130): 20210915, 2022 Feb 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-34908478
13.
Iterative reconstruction with multifrequency signal recognition technology to improve low-contrast detectability: A phantom study.
Acta Radiol Open
; 11(6): 20584601221109919, 2022 Jun.
Artigo
em Inglês
| MEDLINE | ID: mdl-35747445
14.
Importance of the heart rate in ultra-high-resolution coronary CT angiography with 0.35 s gantry rotation time.
Jpn J Radiol
; 40(8): 781-790, 2022 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-35396666
15.
Low-radiation dose scan protocol for preoperative imaging for dental implant surgery using deep learning-based reconstruction in multidetector CT.
Oral Radiol
; 38(4): 517-526, 2022 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-35091858
16.
Influence of beam hardening in dual-energy CT imaging: phantom study for iodine mapping, virtual monoenergetic imaging, and virtual non-contrast imaging.
Eur Radiol Exp
; 5(1): 18, 2021 04 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-33903993
17.
A novel fast kilovoltage switching dual-energy CT with deep learning: Accuracy of CT number on virtual monochromatic imaging and iodine quantification.
Phys Med
; 81: 253-261, 2021 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-33508738
18.
Metal artefact reduction in the oral cavity using deep learning reconstruction algorithm in ultra-high-resolution computed tomography: a phantom study.
Dentomaxillofac Radiol
; 50(7): 20200553, 2021 Oct 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-33914646
19.
Improvement of Image Quality Using Hybrid Iterative Reconstruction with Noise Power Spectrum Model in Computed Tomography During Hepatic Arteriography.
J Belg Soc Radiol
; 105(1): 43, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34611577
20.
Improved scan method for dental imaging using multidetector computed tomography: a phantom study.
Dentomaxillofac Radiol
; 49(6): 20190462, 2020 Sep 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-32302213