AIMC Topic: Angiography

Clear Filters Showing 41 to 50 of 80 articles

Deep-learning-based motion correction in optical coherence tomography angiography.

Journal of biophotonics Aug 3, 2021
Optical coherence tomography angiography (OCTA) is a widely applied tool to image microvascular networks with high spatial resolution and sensitivity. Due to limited imaging speed, the artifacts caused by tissue motion can severely compromise visuali...
Animals Motion Artifacts Angiography Deep Learning Mice Tomography, Optical Coherence
View on PubMed DOI

Machine learning in optical coherence tomography angiography.

Experimental biology and medicine (Maywood, N.J.) Jul 19, 2021
Optical coherence tomography angiography (OCTA) offers a noninvasive label-free solution for imaging retinal vasculatures at the capillary level resolution. In principle, improved resolution implies a better chance to reveal subtle microvascular dist...
Retinal Vessels Capillaries Retinal Diseases Angiography Humans Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence
View on PubMed DOI

An Extended Approach to Predict Retinopathy in Diabetic Patients Using the Genetic Algorithm and Fuzzy C-Means.

BioMed research international Jun 26, 2021
The present study is developed a new approach using a computer diagnostic method to diagnosing diabetic diseases with the use of fluorescein images. In doing so, this study presented the growth region algorithm for the aim of diagnosing diabetes, con...
Angiography Algorithms Humans Image Processing, Computer-Assisted Diabetic Retinopathy Fuzzy Logic
View on PubMed DOI

Deep learning-based automated detection of pulmonary embolism on CT pulmonary angiograms: No significant effects on report communication times and patient turnaround in the emergency department nine months after technical implementation.

European journal of radiology Jun 11, 2021
OBJECTIVES: Rapid communication of CT exams positive for pulmonary embolism (PE) is crucial for timely initiation of anticoagulation and patient outcome. It is unknown if deep learning automated detection of PE on CT Pulmonary Angiograms (CTPA) in co...
Pulmonary Embolism Angiography Communication Deep Learning Humans Emergency Service, Hospital Tomography, X-Ray Computed
View on PubMed DOI

Emerging methods for the characterization of ischemic heart disease: ultrafast Doppler angiography, micro-CT, photon-counting CT, novel MRI and PET techniques, and artificial intelligence.

European radiology experimental Mar 25, 2021
After an ischemic event, disruptive changes in the healthy myocardium may gradually develop and may ultimately turn into fibrotic scar. While these structural changes have been described by conventional imaging modalities mostly on a macroscopic scal...
Humans Artificial Intelligence Contrast Media Myocardial Ischemia Angiography X-Ray Microtomography Magnetic Resonance Imaging Positron-Emission Tomography Gadolinium
View on PubMed DOI

Deep learning differentiates between healthy and diabetic mouse ears from optical coherence tomography angiography images.

Annals of the New York Academy of Sciences Feb 26, 2021
We trained a deep learning algorithm to use skin optical coherence tomography (OCT) angiograms to differentiate between healthy and type 2 diabetic mice. OCT angiograms were acquired with a custom-built OCT system based on an akinetic swept laser at ...
Machine Learning Algorithms Female Reproducibility of Results Mice Diagnosis, Differential Deep Learning Tomography, Optical Coherence ROC Curve Diabetes Mellitus, Experimental Image Processing, Computer-Assisted Animals Angiography Case-Control Studies Ear
View on PubMed DOI

Suspected Acute Pulmonary Embolism: Gestalt, Scoring Systems, and Artificial Intelligence.

Seminars in respiratory and critical care medicine Feb 16, 2021
Pulmonary embolism (PE) remains a diagnostic challenge in 2021. As the pathology is potentially fatal and signs and symptoms are nonspecific, further investigations are classically required. Based on the Bayesian approach, clinical probability became...
Angiography Acute Disease Bayes Theorem Pulmonary Embolism Humans Artificial Intelligence
View on PubMed DOI

Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography.

IEEE transactions on medical imaging Feb 2, 2021
Optical coherence tomography angiography (OCTA) is a promising imaging modality for microvasculature studies. Deep learning networks have been widely applied in the field of OCTA reconstruction, benefiting from its powerful mapping capability among i...
Angiography Fluorescein Angiography Humans Animals Deep Learning Tomography, Optical Coherence
View on PubMed DOI

Learning-based algorithms for vessel tracking: A review.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 30, 2021
Developing efficient vessel-tracking algorithms is crucial for imaging-based diagnosis and treatment of vascular diseases. Vessel tracking aims to solve recognition problems such as key (seed) point detection, centerline extraction, and vascular segm...
Machine Learning Algorithms Image Processing, Computer-Assisted Angiography
View on PubMed DOI

Foveal avascular zone segmentation in optical coherence tomography angiography images using a deep learning approach.

Scientific reports Jan 13, 2021
The purpose of this study was to introduce a new deep learning (DL) model for segmentation of the fovea avascular zone (FAZ) in en face optical coherence tomography angiography (OCTA) and compare the results with those of the device's built-in softwa...
Fovea Centralis Neural Networks, Computer Image Interpretation, Computer-Assisted Retrospective Studies Diagnostic Techniques, Ophthalmological Female Angiography Humans Diabetic Retinopathy Tomography, Optical Coherence Middle Aged Aged Healthy Volunteers Case-Control Studies Adult Deep Learning Male
View on PubMed DOI
Popular Topics
Recent Journals