AIMC Topic: Ultrasonography, Doppler, Transcranial
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Robotic Assisted Transcranial Doppler Monitoring in Acute Neurovascular Care: A Feasibility and Safety Study.
Neurocritical care
Sep 19, 2024
BACKGROUND: Transcranial color Doppler (TCD) is currently the only noninvasive bedside tool capable of providing real-time information on cerebral hemodynamics. However, being operator dependent, TCD monitoring is not feasible in many institutions. R...
Attention-enhanced dilated convolution for Parkinson's disease detection using transcranial sonography.
Biomedical engineering online
Jul 31, 2024
BACKGROUND: Transcranial sonography (TCS) plays a crucial role in diagnosing Parkinson's disease. However, the intricate nature of TCS pathological features, the lack of consistent diagnostic criteria, and the dependence on physicians' expertise can ...
Prediction of Parkinson's disease by transcranial sonography-based deep learning.
Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
Nov 20, 2023
OBJECTIVES: Transcranial sonography has been used as a valid neuroimaging tool to diagnose Parkinson's disease (PD). This study aimed to develop a modified transcranial sonography (TCS) technique based on a deep convolutional neural network (DCNN) mo...
Robot-Assisted TCD for Detection of Right to Left Shunt: Teaching an Old Device New Tricks.
Stroke
Oct 5, 2023
Robot-Assisted Transcranial Doppler Versus Transthoracic Echocardiography for Right to Left Shunt Detection.
Stroke
Oct 5, 2023
BACKGROUND: Right to left shunt (RLS), including patent foramen ovale, is a recognized risk factor for stroke. RLS/patent foramen ovale diagnosis is made by transthoracic echocardiography (TTE), which is insensitive, transesophageal echocardiography,...
A Deep Learning Framework for Deriving Noninvasive Intracranial Pressure Waveforms from Transcranial Doppler.
Annals of neurology
Jun 1, 2023
Increased intracranial pressure (ICP) causes disability and mortality in the neurointensive care population. Current methods for monitoring ICP are invasive. We designed a deep learning framework using a domain adversarial neural network to estimate ...
Transcranial Doppler analysis based on computer and artificial intelligence for acute cerebrovascular disease.
Mathematical biosciences and engineering : MBE
Nov 4, 2022
Cerebrovascular disease refers to damage to brain tissue caused by impaired intracranial blood circulation. It usually presents clinically as an acute nonfatal event and is characterized by high morbidity, disability, and mortality. Transcranial Dopp...
Safety and efficacy of a novel robotic transcranial doppler system in subarachnoid hemorrhage.
Scientific reports
Feb 10, 2022
Delayed cerebral ischemia (DCI) secondary to vasospasm is a determinate of outcomes following non-traumatic subarachnoid hemorrhage (SAH). SAH patients are monitored using transcranial doppler (TCD) to measure cerebral blood flow velocities (CBFv). H...
Transcranial MR Imaging-Guided Focused Ultrasound Interventions Using Deep Learning Synthesized CT.
AJNR. American journal of neuroradiology
Sep 3, 2020
BACKGROUND AND PURPOSE: Transcranial MR imaging-guided focused ultrasound is a promising novel technique to treat multiple disorders and diseases. Planning for transcranial MR imaging-guided focused ultrasound requires both a CT scan for skull densit...
Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface.
Journal of neuroscience methods
Apr 1, 2019
BACKGROUND: Recently, hybrid brain-computer interfaces (BCIs) combining more than one modality have been investigated with the aim of boosting the performance of the existing single-modal BCIs in terms of accuracy and information transfer rate (ITR)....
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