AIMC Topic: Blood Flow Velocity
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Ultrasound deep learning for monitoring of flow-vessel dynamics in murine carotid artery.
Ultrasonics
Nov 9, 2021
Several arterial diseases are closely related with mechanical properties of the blood vessel and interactions of flow-vessel dynamics such as mean flow velocity, wall shear stress (WSS) and vascular strain. However, there is an opportunity to improve...
Dialysis adequacy predictions using a machine learning method.
Scientific reports
Jul 29, 2021
Dialysis adequacy is an important survival indicator in patients with chronic hemodialysis. However, there are inconveniences and disadvantages to measuring dialysis adequacy by blood samples. This study used machine learning models to predict dialys...
Quantification of Blood Flow Velocity in the Human Conjunctival Microvessels Using Deep Learning-Based Stabilization Algorithm.
Sensors (Basel, Switzerland)
May 6, 2021
The quantification of blood flow velocity in the human conjunctiva is clinically essential for assessing microvascular hemodynamics. Since the conjunctival microvessel is imaged in several seconds, eye motion during image acquisition causes motion ar...
Highly accelerated free-breathing real-time phase contrast cardiovascular MRI via complex-difference deep learning.
Magnetic resonance in medicine
Mar 15, 2021
PURPOSE: To develop and evaluate a real-time phase contrast (PC) MRI protocol via complex-difference deep learning (DL) framework.
A Neural Network Approach to Quantify Blood Flow from Retinal OCT Intensity Time-Series Measurements.
Scientific reports
Jun 15, 2020
Many diseases of the eye are associated with alterations in the retinal vasculature that are possibly preceded by undetected changes in blood flow. In this work, a robust blood flow quantification framework is presented based on optical coherence tom...
Defining heterogeneity of epicardial functional stenosis with low coronary flow reserve by unsupervised machine learning.
Heart and vessels
Jun 6, 2020
Low CFR is associated with poor prognosis, whereas it is a heterogeneous condition according to the actual coronary flow, such as high resting or low hyperemic coronary flow, which should have different physiological traits and clinical implications....
Japan
Spain
Blood Flow Velocity
Fractional Flow Reserve, Myocardial
Hyperemia
Cardiac Catheterization
Humans
Coronary Stenosis
Unsupervised Machine Learning
Prognosis
Predictive Value of Tests
Republic of Korea
Severity of Illness Index
Registries
Male
Diagnosis, Computer-Assisted
Female
Middle Aged
Cluster Analysis
Aged
Ultrasound Deep Learning for Wall Segmentation and Near-Wall Blood Flow Measurement.
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
May 18, 2020
Studies of medical flow imaging have technical limitations for accurate analysis of blood flow dynamics and vessel wall interaction at arteries. We propose a new deep learning-based boundary detection and compensation (DL-BDC) technique in ultrasound...
Cardiac VFM visualization and analysis based on YOLO deep learning model and modified 2D continuity equation.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Apr 28, 2020
In order to realize the visual analysis of cardiac fluid motion, according to the characteristics of cardiac flow field ultrasound image, a method for the cardiac Vector Flow Mapping (VFM) analysis and evaluation based on the You-Only-Look-Once (YOLO...
Learning physical properties in complex visual scenes: An intelligent machine for perceiving blood flow dynamics from static CT angiography imaging.
Neural networks : the official journal of the International Neural Network Society
Nov 30, 2019
Humans perceive physical properties such as motion and elastic force by observing objects in visual scenes. Recent research has proven that computers are capable of inferring physical properties from camera images like humans. However, few studies pe...
A feasibility study of deep learning for predicting hemodynamics of human thoracic aorta.
Journal of biomechanics
Nov 26, 2019
Numerical analysis methods including finite element analysis (FEA), computational fluid dynamics (CFD), and fluid-structure interaction (FSI) analysis have been used to study the biomechanics of human tissues and organs, as well as tissue-medical dev...
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