AIMC Topic: Aorta

Clear Filters Showing 51 to 60 of 78 articles

Fully automatic segmentation of type B aortic dissection from CTA images enabled by deep learning.

European journal of radiology
PURPOSE: This study sought to establish a robust and fully automated Type B aortic dissection (TBAD) segmentation method by leveraging the emerging deep learning techniques.

Partial Policy-Based Reinforcement Learning for Anatomical Landmark Localization in 3D Medical Images.

IEEE transactions on medical imaging
Utilizing the idea of long-term cumulative return, reinforcement learning (RL) has shown remarkable performance in various fields. We follow the formulation of landmark localization in 3D medical images as an RL problem. Whereas value-based methods h...

Estimation of wave reflection in aorta from radial pulse waveform by artificial neural network: a numerical study.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Wave reflection in aorta has been shown to have incremental value for predicting cardiovascular events. However, its estimation by wave separation analysis (WSA) is complex.

In situ tissue classification during laser ablation using acoustic signals.

Journal of biophotonics
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
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...

Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns.

IEEE transactions on medical imaging
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
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
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
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...