Cargando…

Improving image quality and resolution of coronary arteries in coronary computed tomography angiography by using high-definition scans and deep learning image reconstruction

BACKGROUND: Coronary computed tomography angiography (CTA) has been increasingly used to identify the degree of coronary artery stenosis and plaque lesions in vessels. This study evaluated the feasibility of using high-definition (HD) scanning with high-level deep learning image reconstruction (DLIR...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Yiming, Wang, Geliang, Huang, Xin, Zhao, Wenzhe, Zeng, Qiang, Li, Yanshou, Guo, Jianxin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AME Publishing Company 2023
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167454/ https://www.ncbi.nlm.nih.gov/pubmed/37179907 http://dx.doi.org/10.21037/qims-22-186

Ejemplares similares

Deep learning image reconstruction algorithm: impact on image quality in coronary computed tomography angiography
por: De Santis, Domenico, et al.
Publicado: (2023)

Radiation dose reduction with deep-learning image reconstruction for coronary computed tomography angiography
por: Benz, Dominik C., et al.
Publicado: (2021)

Clinical Feasibility of Deep Learning-Based Image Reconstruction on Coronary Computed Tomography Angiography
por: Koo, Seul Ah, et al.
Publicado: (2023)

Super-resolution deep learning reconstruction at coronary computed tomography angiography to evaluate the coronary arteries and in-stent lumen: an initial experience
por: Orii, Makoto, et al.
Publicado: (2023)

The effect of iterative reconstruction on image quality in evaluating patients with coronary calcifications or stents at coronary computed tomography angiography
por: Moustafa, Sherif, et al.
Publicado: (2016)

Coronary Computed Tomography Angiography with Deep Learning Image Reconstruction: A Preliminary Study to Evaluate Radiation Exposure Reduction
por: Bona, Rossana, et al.
Publicado: (2023)

Coronary-Pulmonary Artery Fistula Recanalization on Coronary Computed Tomography Angiography Images
por: Gać, Paweł, et al.
Publicado: (2021)

Influence of adaptive statistical iterative reconstruction algorithm on image quality in coronary computed tomography angiography
por: Precht, Helle, et al.
Publicado: (2016)

A deep learning-based automated algorithm for labeling coronary arteries in computed tomography angiography images
por: Ren, Pengling, et al.
Publicado: (2023)

Intraindividual evaluation of effects of image filter function on image quality in coronary computed tomography angiography
por: Jin, Liang, et al.
Publicado: (2022)

Image quality of coronary CT angiography at ultra low tube voltage reconstructed with a deep-learning image reconstruction algorithm in patients of different weight
por: Zhu, Lijuan, et al.
Publicado: (2023)

Is There Any Improvement in Image Quality in Obese Patients When Using a New X-ray Tube and Deep Learning Image Reconstruction in Coronary Computed Tomography Angiography?
por: Pfeffer, Anne-Sofie Brunebjerg, et al.
Publicado: (2022)

Effect of iterative reconstruction on image quality in evaluating patients with coronary calcifications or stents during coronary computed tomography angiography: a pilot study
por: Güler, Ezgi, et al.
Publicado: (2016)

Coronary Artery Magnetic Resonance Angiography Combined with Computed Tomography Angiography in Diagnosis of Coronary Heart Disease by Reconstruction Algorithm
por: Ling, Yun, et al.
Publicado: (2022)

Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction
por: Otgonbaatar, Chuluunbaatar, et al.
Publicado: (2022)

Coronary computed tomography angiography equals invasive angiography for the prediction of coronary revascularization
por: Dębski, Mariusz, et al.
Publicado: (2019)

Accelerated isotropic resolution 3D image-based navigators for coronary MR angiography
por: Addy, Nii O, et al.
Publicado: (2014)

An anomalous left coronary artery with a malignant course: coronary angiography and myocardial perfusion imaging with computed tomography
por: de Graaf, M. A., et al.
Publicado: (2016)

Prognostic value of coronary computed tomography angiography compared to radionuclide myocardial perfusion imaging in patients With coronary stents
por: Abazid, Rami M., et al.
Publicado: (2023)

Motion artefact reduction in coronary CT angiography images with a deep learning method
por: Ren, Pengling, et al.
Publicado: (2022)

Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction
por: Hong, Jung Hee, et al.
Publicado: (2020)

Assessment of Image Quality of Coronary CT Angiography Using Deep Learning-Based CT Reconstruction: Phantom and Patient Studies
por: Jeon, Pil-Hyun, et al.
Publicado: (2023)

An unsupervised image segmentation algorithm for coronary angiography
por: Yin, Zong-Xian, et al.
Publicado: (2022)

Non-invasive computed tomography coronary angiography as a gatekeeper for invasive coronary angiography
por: de Graaf, Fleur R., et al.
Publicado: (2012)

Clinical Utility of Coronary Computed Tomography Angiography, Beyond the Gatekeeper for Invasive Coronary Angiography
por: Yoon, Yeonyee Elizabeth
Publicado: (2022)

Effect of dose reduction on image quality and diagnostic performance in coronary computed tomography angiography
por: van der Bijl, Noortje, et al.
Publicado: (2012)

Fat volume measurements as a predictor of image noise in coronary computed tomography angiography()
por: Abazid, Rami M., et al.
Publicado: (2019)

Myocardial bridging in adult with hypertrophic cardiomyopathy: Imaging findings with coronary computed tomography angiography
por: Celenk, Vefa, et al.
Publicado: (2022)

Coronary computed tomography angiography in children
por: Malone, LaDonna J., et al.
Publicado: (2021)

Identification of invasive and radionuclide imaging markers of coronary plaque vulnerability using radiomic analysis of coronary computed tomography angiography
por: Kolossváry, Márton, et al.
Publicado: (2019)

Diagnostic Value of Coronary Computed Tomography Angiography Image under Automatic Segmentation Algorithm for Restenosis after Coronary Stenting
por: He, Xinrong, et al.
Publicado: (2022)

High-Definition Computed Tomography for Coronary Artery Stent Imaging: a Phantom Study
por: Yang, Wen Jie, et al.
Publicado: (2012)

Coronary computed tomography angiography and [(15)O]H(2)O positron emission tomography perfusion imaging for the assessment of coronary artery disease
por: van Diemen, P. A., et al.
Publicado: (2020)

Aortic arch plaque morphology in patients with coronary artery disease undergoing coronary computed tomography angiography with wide-volume scan
por: Otsuka, Kenichiro, et al.
Publicado: (2022)

Computed tomography coronary angiography in patients with acute myocardial infarction and normal invasive coronary angiography
por: Panayi, Georgios, et al.
Publicado: (2016)

Detection of relevant extracardiac findings on coronary computed tomography angiography vs. invasive coronary angiography
por: Laskowski, Dominik, et al.
Publicado: (2021)

Value of Image Fusion in Coronary Angiography for the Detection of Coronary Artery Bypass Grafts
por: Plessis, Julien, et al.
Publicado: (2016)

Deep learning-based prediction for significant coronary artery stenosis on coronary computed tomography angiography in asymptomatic populations
por: Lee, Heesun, et al.
Publicado: (2023)

Non-inferior low-dose coronary computed tomography angiography image quality with knowledge-based iterative model reconstruction for overweight patients
por: Park, In Kyung, et al.
Publicado: (2018)

Method comparison for cardiac image registration of coronary computed tomography angiography and 3-D echocardiography
por: Nordenfur, Tim, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_dcj26cpvb8kseh1ujqhtb4icvs