AIMC Topic: Cerebrovascular Circulation

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Editorial for "Combined Denoising and Suppression of Transient Artifacts in Arterial Spin Labeling MRI Using Deep Learning".

Journal of magnetic resonance imaging : JMRI Jul 14, 2020
Artifacts Cerebrovascular Circulation Spin Labels Humans Deep Learning Magnetic Resonance Imaging
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Predicting PET Cerebrovascular Reserve with Deep Learning by Using Baseline MRI: A Pilot Investigation of a Drug-Free Brain Stress Test.

Radiology Jul 14, 2020
Background Cerebrovascular reserve (CVR) may be measured by using an acetazolamide test to clinically evaluate patients with cerebrovascular disease. However, acetazolamide use may be contraindicated and/or undesirable in certain clinical settings. P...
Adolescent Magnetic Resonance Imaging Positron-Emission Tomography Cerebrovascular Circulation Male Middle Aged Deep Learning Pilot Projects Moyamoya Disease Humans Brain Female Young Adult Adult
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A Machine Learning Approach for Predicting Early Phase Postoperative Hypertension in Patients Undergoing Carotid Endarterectomy.

Annals of vascular surgery Jul 10, 2020
BACKGROUND: This study aimed to establish and validate a machine learning-based model for the prediction of early phase postoperative hypertension (EPOH) requiring the administration of intravenous vasodilators after carotid endarterectomy (CEA).
Databases, Factual Retrospective Studies Female Risk Factors Humans Machine Learning Decision Support Techniques Carotid Stenosis Endarterectomy, Carotid Treatment Outcome Predictive Value of Tests Blood Pressure Antihypertensive Agents Cerebrovascular Disorders Administration, Intravenous Vasodilator Agents Cerebrovascular Circulation Aged Middle Aged Risk Assessment Aged, 80 and over Time Factors Adult Hypertension Male
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Non-Invasive Estimation of Intracranial Pressure by Diffuse Optics: A Proof-of-Concept Study.

Journal of neurotrauma Jul 7, 2020
Intracranial pressure (ICP) is an important parameter to monitor in several neuropathologies. However, because current clinically accepted methods are invasive, its monitoring is limited to patients in critical conditions. On the other hand, there ar...
Female Infant, Newborn Adult Male Humans Neural Networks, Computer Infant Intracranial Hypertension Spectroscopy, Near-Infrared Proof of Concept Study Signal Processing, Computer-Assisted Child, Preschool Cerebrovascular Circulation Intracranial Pressure Neurophysiological Monitoring
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Combined Denoising and Suppression of Transient Artifacts in Arterial Spin Labeling MRI Using Deep Learning.

Journal of magnetic resonance imaging : JMRI Jun 15, 2020
BACKGROUND: Arterial spin labeling (ASL) is a useful tool for measuring cerebral blood flow (CBF). However, due to the low signal-to-noise ratio (SNR) of the technique, multiple repetitions are required, which results in prolonged scan times and incr...
Spin Labels Child Magnetic Resonance Imaging Artifacts Cerebrovascular Circulation Humans Brain Retrospective Studies Adult Deep Learning
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Identifying psychosis spectrum youth using support vector machines and cerebral blood perfusion as measured by arterial spin labeled fMRI.

NeuroImage. Clinical Jun 4, 2020
Altered cerebral blood flow (CBF), as measured by arterial spin labelling (ASL), has been observed in several psychiatric conditions, but is a generally underutilized MRI technique, especially in the study of psychosis spectrum (PS) symptoms. We aime...
Magnetic Resonance Imaging Humans Brain Mapping Brain Adolescent Head Spin Labels Female Child Cerebrovascular Circulation Young Adult Image Processing, Computer-Assisted Adult Support Vector Machine Male
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Machine Learning to Support Hemodynamic Intervention in the Neonatal Intensive Care Unit.

Clinics in perinatology May 20, 2020
Hemodynamic support in neonatal intensive care is directed at maintaining cardiovascular wellbeing. At present, monitoring of vital signs plays an essential role in augmenting care in a reactive manner. By applying machine learning techniques, a mode...
Humans Machine Learning Hemodynamic Monitoring Neonatal Sepsis Infant, Newborn Intensive Care Units, Neonatal Diagnostic Techniques, Cardiovascular Cardiovascular Diseases Cardiovascular Physiological Phenomena Homeostasis Shock, Septic Cerebrovascular Circulation Infant, Premature
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Deep learning-based MR fingerprinting ASL ReconStruction (DeepMARS).

Magnetic resonance in medicine Feb 4, 2020
PURPOSE: To develop a reproducible and fast method to reconstruct MR fingerprinting arterial spin labeling (MRF-ASL) perfusion maps using deep learning.
Humans Deep Learning Magnetic Resonance Imaging Cerebrovascular Circulation Spin Labels Moyamoya Disease
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Denoising arterial spin labeling perfusion MRI with deep machine learning.

Magnetic resonance imaging Jan 15, 2020
PURPOSE: Arterial spin labeling (ASL) perfusion MRI is a noninvasive technique for measuring cerebral blood flow (CBF) in a quantitative manner. A technical challenge in ASL MRI is data processing because of the inherently low signal-to-noise-ratio (...
Signal-To-Noise Ratio Magnetic Resonance Angiography Cerebrovascular Circulation Spin Labels Adult Male Middle Aged Image Processing, Computer-Assisted Brain Retrospective Studies Female Young Adult Humans Machine Learning Algorithms
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Deep Learning Detection of Penumbral Tissue on Arterial Spin Labeling in Stroke.

Stroke Dec 30, 2019
Background and Purpose- Selection of patients with acute ischemic stroke for endovascular treatment generally relies on dynamic susceptibility contrast magnetic resonance imaging or computed tomography perfusion. Dynamic susceptibility contrast magne...
Spin Labels Humans Brain Ischemia Diffusion Magnetic Resonance Imaging Retrospective Studies Magnetic Resonance Angiography Deep Learning Cerebrovascular Circulation Stroke Perfusion Imaging
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