AIMC Topic: Cerebrovascular Circulation

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Machine learning-based dynamic mortality prediction after traumatic brain injury.

Scientific reports Nov 27, 2019
Our aim was to create simple and largely scalable machine learning-based algorithms that could predict mortality in a real-time fashion during intensive care after traumatic brain injury. We performed an observational multicenter study including adul...
Intensive Care Units Female Aged Adult Male Humans Machine Learning Prognosis Intracranial Pressure Cerebrovascular Circulation Glasgow Coma Scale Middle Aged ROC Curve Logistic Models Brain Injuries, Traumatic
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Optimizing MRF-ASL scan design for precise quantification of brain hemodynamics using neural network regression.

Magnetic resonance in medicine Nov 21, 2019
PURPOSE: Arterial Spin Labeling (ASL) is a quantitative, non-invasive alternative for perfusion imaging that does not use contrast agents. The magnetic resonance fingerprinting (MRF) framework can be adapted to ASL to estimate multiple physiological ...
Brain Hemodynamics Image Enhancement Image Processing, Computer-Assisted Humans Phantoms, Imaging Cerebrovascular Circulation Magnetic Resonance Imaging Neural Networks, Computer Blood Volume
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Predicting O-Water PET cerebral blood flow maps from multi-contrast MRI using a deep convolutional neural network with evaluation of training cohort bias.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism Nov 13, 2019
To improve the quality of MRI-based cerebral blood flow (CBF) measurements, a deep convolutional neural network (dCNN) was trained to combine single- and multi-delay arterial spin labeling (ASL) and structural images to predict gold-standard O-water ...
Female Reproducibility of Results Aged Young Adult Adult Neural Networks, Computer Data Analysis Algorithms Brain Magnetic Resonance Imaging Models, Biological Positron-Emission Tomography Cerebrovascular Circulation Humans Oxygen Radioisotopes Male Middle Aged Adolescent Water Image Processing, Computer-Assisted
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Temporally downsampled cerebral CT perfusion image restoration using deep residual learning.

International journal of computer assisted radiology and surgery Oct 31, 2019
PURPOSE: Acute ischemic stroke is one of the most causes of death all over the world. Onset to treatment time is critical in stroke diagnosis and treatment. Considering the time consumption and high price of MR imaging, CT perfusion (CTP) imaging is ...
Image Processing, Computer-Assisted Stroke Brain Ischemia Signal-To-Noise Ratio Cerebrovascular Circulation Neural Networks, Computer Algorithms Tomography, X-Ray Computed Deep Learning Perfusion Imaging Humans
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Estimation of cerebral blood flow velocity during breath-hold challenge using artificial neural networks.

Computers in biology and medicine Oct 17, 2019
UNLABELLED: The effect of untreated Obstructive Sleep Apnoea (OSA) on cerebral haemodynamics and CA impairment is an active field of research interest. A breath-hold challenge is usually used in clinical and research settings to simulate cardiovascul...
Adult Male Photoplethysmography Sleep Apnea, Obstructive Humans Blood Flow Velocity Neural Networks, Computer Cerebrovascular Circulation Female Models, Cardiovascular Breath Holding
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Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD.

Magnetic resonance in medicine Jul 4, 2019
PURPOSE: To apply an artificial neural network (ANN) for fast and robust quantification of the oxygen extraction fraction (OEF) from a combined QSM and quantitative BOLD analysis of gradient echo data and to compare the ANN to a traditional quasi-New...
Cerebrovascular Circulation Normal Distribution Positron-Emission Tomography Healthy Volunteers Gray Matter Female White Matter Adult Male Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Oxygen Oxygen Consumption Least-Squares Analysis Humans Neural Networks, Computer Brain Computer Simulation
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Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans.

Cerebrovascular diseases (Basel, Switzerland) Jun 19, 2019
Computed tomography angiography (CTA) collateral scoring can identify patients most likely to benefit from mechanical thrombectomy and those more likely to have good outcomes and ranges from 0 (no collaterals) to 3 (complete collaterals). In this stu...
Blood Flow Velocity Thrombectomy Cerebrovascular Circulation Middle Cerebral Artery Humans Computed Tomography Angiography Cerebral Angiography Machine Learning Radiographic Image Interpretation, Computer-Assisted Collateral Circulation Prognosis Stroke Clinical Decision-Making Patient Selection Predictive Value of Tests Automation Triage
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Classifying intracranial stenosis disease severity from functional MRI data using machine learning.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism May 8, 2019
Translation of many non-invasive hemodynamic MRI methods to cerebrovascular disease patients has been hampered by well-known artifacts associated with delayed blood arrival times and reduced microvascular compliance. Using machine learning and suppor...
Humans Machine Learning Brain Female Young Adult Sensitivity and Specificity Middle Aged Severity of Illness Index Case-Control Studies Cerebral Angiography Image Processing, Computer-Assisted Magnetic Resonance Angiography Cerebrovascular Circulation Moyamoya Disease
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Support vector machine-based multivariate pattern classification of methamphetamine dependence using arterial spin labeling.

Addiction biology Jan 9, 2019
Arterial spin labeling (ASL) magnetic resonance imaging has been widely applied to identify cerebral blood flow (CBF) abnormalities in a number of brain disorders. To evaluate its significance in detecting methamphetamine (MA) dependence, this study ...
Methamphetamine Amphetamine-Related Disorders Cerebrovascular Circulation Perfusion Imaging Young Adult Spin Labels Adult Imaging, Three-Dimensional Male Support Vector Machine Case-Control Studies Magnetic Resonance Imaging ROC Curve Area Under Curve Humans Brain
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An empirical evaluation of multivariate lesion behaviour mapping using support vector regression.

Human brain mapping Dec 13, 2018
Multivariate lesion behaviour mapping based on machine learning algorithms has recently been suggested to complement the methods of anatomo-behavioural approaches in cognitive neuroscience. Several studies applied and validated support vector regress...
Brain Diseases Cerebrovascular Circulation Magnetic Resonance Imaging Behavior Humans Models, Neurological Algorithms Brain Mapping Image Processing, Computer-Assisted Bias Support Vector Machine Stroke
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