AIMC Topic: Cerebrovascular Circulation
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perfDSA: Automatic Perfusion Imaging in Cerebral Digital Subtraction Angiography.
International journal of computer assisted radiology and surgery
Apr 24, 2025
PURPOSE: Cerebral digital subtraction angiography (DSA) is a standard imaging technique in image-guided interventions for visualizing cerebral blood flow and therapeutic guidance thanks to its high spatio-temporal resolution. To date, cerebral perfus...
A deep learning approach for quantifying CT perfusion parameters in stroke.
Biomedical physics & engineering express
Apr 16, 2025
. Computed tomography perfusion (CTP) imaging is widely used for assessing acute ischemic stroke. However, conventional methods for quantifying CTP images, such as singular value decomposition (SVD), often lead to oscillations in the estimated residu...
Coupling analysis of diffusion tensor imaging analysis along the perivascular space (DTI-ALPS) with abnormal cerebral blood flow in methamphetamine-dependent patients and its application in machine-learning-based classification.
Journal of affective disorders
Feb 15, 2025
BACKGROUND: Diffusion tensor imaging (DTI) analysis along the perivascular space (ALPS) index is currently widely employed to evaluate the neurophysiological activity in various neuropsychiatric disorders. However, there remains a scarcity of studies...
Characterizing drivers of change in intraoperative cerebral saturation using supervised machine learning.
Journal of clinical monitoring and computing
Feb 7, 2025
Regional cerebral oxygen saturation (rSO) is used to monitor cerebral perfusion with emerging evidence that optimization of rSO may improve neurological and non-neurological outcomes. To manipulate rSO an understanding of the variables that drive its...
Cerebrovascular Circulation
Oximetry
Signal Processing, Computer-Assisted
Supervised Machine Learning
Carbon Dioxide
Adult
Oxygen Saturation
Male
Middle Aged
Spectroscopy, Near-Infrared
Hemodynamics
Monitoring, Intraoperative
ROC Curve
Oxygen
Brain
Female
Reproducibility of Results
Aged
Humans
Machine Learning
Algorithms
Age group classification based on optical measurement of brain pulsation using machine learning.
Scientific reports
Jan 25, 2025
Optical techniques, such as functional near-infrared spectroscopy (fNIRS), contain high potential for the development of non-invasive wearable systems for evaluating cerebral vascular condition in aging, due to their portability and ability to monito...
Clinical feasibility of deep learning-driven magnetic resonance angiography collateral map in acute anterior circulation ischemic stroke.
Scientific reports
Jan 17, 2025
To validate the clinical feasibility of deep learning-driven magnetic resonance angiography (DL-driven MRA) collateral map in acute ischemic stroke. We employed a 3D multitask regression and ordinal regression deep neural network, called as 3D-MROD-N...
Evaluation of cerebral blood flow after subarachnoid hemorrhage using near-field coupling and machine learning.
Technology and health care : official journal of the European Society for Engineering and Medicine
Dec 25, 2024
BackgroundBedside continuous monitoring of cerebral blood flow (CBF) has significant implications in guiding individualized management and improving the prognosis of subarachnoid hemorrhage (SAH).ObjectiveThis study established a CBF monitoring syste...
Multivariate Modelling and Prediction of High-Frequency Sensor-Based Cerebral Physiologic Signals: Narrative Review of Machine Learning Methodologies.
Sensors (Basel, Switzerland)
Dec 20, 2024
Monitoring cerebral oxygenation and metabolism, using a combination of invasive and non-invasive sensors, is vital due to frequent disruptions in hemodynamic regulation across various diseases. These sensors generate continuous high-frequency data st...
A physics-informed deep learning framework for dynamic susceptibility contrast perfusion MRI.
Medical physics
Sep 20, 2024
BACKGROUND: Perfusion magnetic resonance imaging (MRI)s plays a central role in the diagnosis and monitoring of neurovascular or neurooncological disease. However, conventional processing techniques are limited in their ability to capture relevant ch...
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...
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