Cargando…

Deep Learning-Based Image Reconstruction for CT Angiography of the Aorta

To evaluate the impact of a novel, deep-learning-based image reconstruction (DLIR) algorithm on image quality in CT angiography of the aorta, we retrospectively analyzed 51 consecutive patients who underwent ECG-gated chest CT angiography and non-gated acquisition for the abdomen on a 256-dectector-...

Descripción completa

Detalles Bibliográficos
Autores principales:	Heinrich, Andra, Streckenbach, Felix, Beller, Ebba, Groß, Justus, Weber, Marc-André, Meinel, Felix G.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622129/ https://www.ncbi.nlm.nih.gov/pubmed/34829383 http://dx.doi.org/10.3390/diagnostics11112037

Ejemplares similares

ECG-gated MR angiography at 3T for follow-up after surgery involving the ascending aorta
por: Busse, Anke, et al.
Publicado: (2023)

Concomitant chronic venous insufficiency in patients with peripheral artery disease: insights from MR angiography
por: Ammermann, Felix, et al.
Publicado: (2020)

Improved image quality in transcatheter aortic valve implantation planning CT using deep learning-based image reconstruction
por: Heinrich, Andra, et al.
Publicado: (2022)

Prevalence of visceral artery involvement in patients with peripheral artery disease found on run-off MRA
por: Streckenbach, Felix, et al.
Publicado: (2021)

Age-Related Changes of the Human Crystalline Lens on High-Spatial Resolution Three-Dimensional T1-Weighted Brain Magnetic Resonance Images In Vivo
por: Streckenbach, Felix, et al.
Publicado: (2020)

Fully automated quantification of left ventricular volumes and function in cardiac MRI: clinical evaluation of a deep learning-based algorithm
por: Böttcher, Benjamin, et al.
Publicado: (2020)

Isolated calf deep venous thrombosis: frequency on venous ultrasound and clinical characteristics
por: Heller, Thomas, et al.
Publicado: (2021)

Prevalence and predictors of alternative diagnoses on whole-leg ultrasound negative for acute deep venous thrombosis
por: Beller, Ebba, et al.
Publicado: (2020)

Morphometric Characterization of Human Coronary Veins and Subvenous Epicardial Adipose Tissue—Implications for Cardiac Resynchronization Therapy Leads
por: Keiler, Jonas, et al.
Publicado: (2020)

Application of a Deep Learning Approach to Analyze Large-Scale MRI Data of the Spine
por: Streckenbach, Felix, et al.
Publicado: (2022)

Evaluation of the aorta in infants with simple or complex coarctation of the aorta using CT angiography
por: Xiao, Hui-Jun, et al.
Publicado: (2023)

Deep Learning-Based Reconstruction vs. Iterative Reconstruction for Quality of Low-Dose Head-and-Neck CT Angiography with Different Tube-Voltage Protocols in Emergency-Department Patients
por: Lenfant, Marc, et al.
Publicado: (2022)

Imaging and Clinical Parameters for Distinction between Infected and Non-Infected Fluid Collections in CT: Prospective Study Using Extended Microbiological Approach
por: Skusa, Christopher, et al.
Publicado: (2022)

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)

High-Pitch CT Pulmonary Angiography in Third Generation Dual-Source CT: Image Quality in an Unselected Patient Population
por: Sabel, Bastian O., et al.
Publicado: (2016)

Image Quality and Radiation Dose of Lower Extremity CT Angiography Using 70 kVp, High Pitch Acquisition and Sinogram-Affirmed Iterative Reconstruction
por: Qi, Li, et al.
Publicado: (2014)

Feasibility of low contrast media volume in CT angiography of the aorta
por: Seehofnerová, Anna, et al.
Publicado: (2015)

Deep Learning Versus Iterative Reconstruction for CT Pulmonary Angiography in the Emergency Setting: Improved Image Quality and Reduced Radiation Dose
por: Lenfant, Marc, et al.
Publicado: (2020)

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)

CT-based thermometry with virtual monoenergetic images by dual-energy of fat, muscle and bone using FBP, iterative and deep learning–based reconstruction
por: Heinrich, Andreas, et al.
Publicado: (2021)

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)

High-Pitch, Low-Voltage and Low-Iodine-Concentration CT Angiography of Aorta: Assessment of Image Quality and Radiation Dose with Iterative Reconstruction
por: Shen, Yanguang, et al.
Publicado: (2015)

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)

Wiener filter improves diagnostic accuracy of CAD SPECT images—comparison to angiography and CT angiography
por: Masoomi, Michael A., et al.
Publicado: (2019)

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

Ultra-High-Resolution CT of the Head and Neck with Deep Learning Reconstruction—Assessment of Image Quality and Radiation Exposure and Intraindividual Comparison with Normal-Resolution CT
por: Altmann, Sebastian, 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)

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

Diagnostic yield and accuracy of coronary CT angiography after abnormal nuclear myocardial perfusion imaging
por: Meinel, Felix G., et al.
Publicado: (2018)

Deep learning to convert unstructured CT pulmonary angiography reports into structured reports
por: Spandorfer, Adam, et al.
Publicado: (2019)

Deep learning-based detection of functionally significant stenosis in coronary CT angiography
por: Hampe, Nils, et al.
Publicado: (2022)

Validation of deep learning-based CT image reconstruction for treatment planning
por: Yasui, Keisuke, et al.
Publicado: (2023)

Impact of deep learning reconstruction on intracranial 1.5 T magnetic resonance angiography
por: Yasaka, Koichiro, et al.
Publicado: (2021)

CT and MR imaging of the thoracic aorta
por: Di Cesare, Ernesto, et al.
Publicado: (2016)

Benefits of CT-angiography localisation in the surgical planning of deep inferior epigastric perforator flap breast reconstruction
por: Chhaya, NC, et al.
Publicado: (2010)

A Systematic Review of Deep-Learning Methods for Intracranial Aneurysm Detection in CT Angiography
por: Bizjak, Žiga, et al.
Publicado: (2023)

Common hepatic artery arising from the aorta – demonstration with multidetector CT angiography and its clinical importance
por: Koplay, Mustafa, et al.
Publicado: (2011)

Bib Sign in Proximal Descending Thoracic Aorta Rupture on CT Angiography: Presentation of a Paradigmatic Case
por: Pierro, Antonio, et al.
Publicado: (2022)

The role of subtraction angiography in the diagnosis of distal aorta occlusion following CT urography: A case report
por: Mosquera-Lopez, Oscar Alberto, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_v6ovtmuo7enhn3ntldqs3sl6vo