Showing results (111-120 of 184) with videos related to

Sort By:
Pageof 19
European Radiology|August 15, 2015
Reduction of metallic coil artefacts in computed tomography body imaging: effects of a new single-energy metal artefact reduction algorithmMasafumi Kidoh, Daisuke Utsunomiya, Osamu Ikeda, et al.
Neuroradiology|September 6, 2023
Feasibility study of super-resolution deep learning-based reconstruction using k-space data in brain diffusion-weighted imagesKensei Matsuo, Takeshi Nakaura, Kosuke Morita, et al.
Japanese Journal of Radiology|November 29, 2021
Can myocardial susceptibility quantification be an imaging biomarker for cardiac amyloidosis?Hidetaka Hayashi, Seitaro Oda, Masafumi Kidoh, et al.
European Radiology|May 22, 2015
256-Slice coronary computed tomographic angiography in patients with atrial fibrillation: optimal reconstruction phase and image qualitySeitaro Oda, Keiichi Honda, Akira Yoshimura, et al.
Academic Radiology|March 5, 2022
Practical Preventive Strategies for Extravasation of Contrast Media During CT: What the Radiology Team Should DoShinsuke Shigematsu, Seitaro Oda, Daisuke Sakabe, et al.
European Journal of Radiology|November 7, 2018
Dual-energy computed tomography colonography using dual-layer spectral detector computed tomography: Utility of virtual monochromatic imaging for electronic cleansingNarumi Taguchi, Seitaro Oda, Masanori Imuta, et al.
The International Journal of Cardiovascular Imaging|July 22, 2018
The effect of heart rate on coronary plaque measurements in 320-row coronary CT angiographyMasafumi Kidoh, Daisuke Utsunomiya, Yoshinori Funama, et al.
Medicine|May 17, 2018
Tradeoff between noise reduction and inartificial visualization in a model-based iterative reconstruction algorithm on coronary computed tomography angiographyKenichiro Hirata, Daisuke Utsunomiya, Masafumi Kidoh, et al.
European Radiology|August 19, 2023
Myocardial extracellular volume quantification in cardiac amyloidosis: a comparative study between cardiac computed tomography and magnetic resonance imagingHidetaka Hayashi, Seitaro Oda, Masafumi Kidoh, et al.
Journal of Computer Assisted Tomography|June 28, 2023
Can Machine Learning Identify the Intravenous Contrast Dose and Injection Rate Needed for Optimal Enhancement on Dynamic Liver Computed Tomography?Takanori Masuda, Takeshi Nakaura, Yoshinori Funama, et al.
Pageof 19