Results 111 to 120 of about 507,672 (268)
In-Silico Investigation of 3D Quantitative Angiography for Internal Carotid Aneurysms Using Biplane Imaging and 3D Vascular Geometry Constraints [PDF]
arXivQuantitative angiography (QA) in two dimensions has been instrumental in assessing neurovascular contrast flow patterns, aiding disease severity and treatment outcome evaluations. However, QA requires high spatio-temporal resolution, restricting its use to digital subtraction angiography (DSA), and is prone to errors in quantification of highly 3D flow
arxiv
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography [PDF]
arXiv, 2018 Time-resolved angiography with interleaved stochastic trajectories (TWIST) has been widely used for dynamic contrast enhanced MRI (DCE-MRI). To achieve highly accelerated acquisitions, TWIST combines the periphery of the k-space data from several adjacent frames to reconstruct one temporal frame.
arxiv
Percutaneous selective angiography of the superior mesenteric artery [PDF]
, 1959 Per Ödman
openalex +1 more source
Radiology Case ReportsVertebro-vertebral arteriovenous fistula (VV-AVF) is an uncommon vascular disorder characterized by an abnormal direct connection between the extracranial vertebral artery (VA), as well as the first and second branches of subclavian arteries, and the ...
Linh Hoang Duong, MD +4 more
doaj
Optical Coherence Tomography Angiography Vessel Density in Healthy, Glaucoma Suspect, and Glaucoma Eyes. [PDF]
, 2016 PurposeThe purpose of this study was to compare retinal nerve fiber layer (RNFL) thickness and optical coherence tomography angiography (OCT-A) retinal vasculature measurements in healthy, glaucoma suspect, and glaucoma patients.MethodsTwo hundred sixty ...
Belghith, Akram +11 more
core
Dr-SAM: An End-to-End Framework for Vascular Segmentation, Diameter Estimation, and Anomaly Detection on Angiography Images [PDF]
arXivRecent advancements in AI have significantly transformed medical imaging, particularly in angiography, by enhancing diagnostic precision and patient care. However existing works are limited in analyzing the aorta and iliac arteries, above all for vascular anomaly detection and characterization.
arxiv
Automatic Segmentation of the Left Ventricle in Cardiac CT Angiography Using Convolutional Neural Network [PDF]
arXiv, 2017 Accurate delineation of the left ventricle (LV) is an important step in evaluation of cardiac function. In this paper, we present an automatic method for segmentation of the LV in cardiac CT angiography (CCTA) scans. Segmentation is performed in two stages.
arxiv