AIMC Topic: Aorta
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In situ tissue classification during laser ablation using acoustic signals.
Journal of biophotonics
May 30, 2019
We suggest a novel method to classify the type of tissue that is being ablated, using the recorded acoustic sound waves during pulsed ultraviolet laser ablation. The motivation of the current research is tissue classification during vascular interven...
Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Jan 7, 2019
BACKGROUND: Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning ha...
Humans
Machine Learning
Prospective Studies
Male
Middle Aged
Hemodynamics
United States
Retrospective Studies
Female
Reproducibility of Results
Aged
Myocardial Perfusion Imaging
Magnetic Resonance Imaging, Cine
Aortic Valve
Predictive Value of Tests
Automation
Heart Diseases
Proof of Concept Study
Image Interpretation, Computer-Assisted
Blood Flow Velocity
Aorta
Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns.
IEEE transactions on medical imaging
Dec 7, 2018
Automatic event detection in cell videos is essential for monitoring cell populations in biomedicine. Deep learning methods have advantages over traditional approaches for cell event detection due to their ability to capture more discriminative featu...
Flexible robotic catheters in the visceral segment of the aorta: advantages and limitations.
The Journal of cardiovascular surgery
Mar 19, 2018
Flexible robotic catheters are an emerging technology which provide an elegant solution to the challenges of conventional endovascular intervention. Originally developed for interventional cardiology and electrophysiology procedures, remotely steerab...
Differential Kolaviron Attenuated Contractile Responses to Agonists on Isolated Rabbit Aorta in Na+-K+ Pump Blockade.
Nigerian journal of physiological sciences : official publication of the Physiological Society of Nigeria
Dec 30, 2017
The mechanism of kolaviron-induced vascular smooth muscles (VSMs) responses has not been fullycharacterised. The present study investigated the effect and mode of action of kolaviron a biflavanoid-complex and majorcomponent of Garcinia Kola-fraction ...
Mechanisms of pulse pressure amplification dipping pattern during sleep time: the SAFAR study.
Journal of the American Society of Hypertension : JASH
Dec 14, 2017
The difference in pulse pressure (PP) between peripheral arteries and the aorta, called pulse pressure amplification (PPamp), is a well-described physiological phenomenon independently associated with cardiovascular events. Recent studies suggest tha...
Penetration of an artificial arterial thromboembolism in a live animal using an intravascular therapeutic microrobot system.
Medical engineering & physics
Feb 5, 2016
The biomedical applications of wireless robots are an active area of study. In addition to moving to a target lesion, wireless locomotive robots can deliver a therapeutic drug for a specific disease. Thus, they hold great potential as therapeutic dev...
Association between central aortic pulsatility and glomerular filtration rate in patients with coronary artery disease.
Anatolian journal of cardiology
Nov 30, 2015
OBJECTIVE: Aortic stiffness and chronic kidney disease share common risk factors. Increased aortic stiffness is a predictor of lower estimated glomerular filtration rate (eGFR) at lower levels of renal functions. We aimed to investigate the associati...
Automated generation of directed graphs from vascular segmentations.
Journal of biomedical informatics
Jul 9, 2015
Automated feature extraction from medical images is an important task in imaging informatics. We describe a graph-based technique for automatically identifying vascular substructures within a vascular tree segmentation. We illustrate our technique us...
Towards fast and reliable estimations of 3D pressure, velocity and wall shear stress in aortic blood flow: CFD-based machine learning approach.
Computers in biology and medicine
Jun 1, 2025
In this work, we developed deep neural networks for the fast and comprehensive estimation of the most salient features of aortic blood flow. These features include velocity magnitude and direction, 3D pressure, and wall shear stress. Starting from 40...
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