AIMC Topic: Carotid Artery, Internal
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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...
An end-to-end deep learning pipeline to derive blood input with partial volume corrections for automated parametric brain PET mapping.
Biomedical physics & engineering express
Aug 19, 2024
Dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (dFDG-PET) for human brain imaging has considerable clinical potential, yet its utilization remains limited. A key challenge in the quantitative analysis of dFDG-PET is characteriz...
Patient-specific cerebral 3D vessel model reconstruction using deep learning.
Medical & biological engineering & computing
May 28, 2024
Three-dimensional vessel model reconstruction from patient-specific magnetic resonance angiography (MRA) images often requires some manual maneuvers. This study aimed to establish the deep learning (DL)-based method for vessel model reconstruction. T...
A Deep Learning Framework for Analysis of the Eustachian Tube and the Internal Carotid Artery.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Apr 30, 2024
OBJECTIVE: Obtaining automated, objective 3-dimensional (3D) models of the Eustachian tube (ET) and the internal carotid artery (ICA) from computed tomography (CT) scans could provide useful navigational and diagnostic information for ET pathologies ...
Deep Learning-based Assessment of Internal Carotid Artery Anatomy to Predict Difficult Intracranial Access in Endovascular Recanalization of Acute Ischemic Stroke.
Clinical neuroradiology
Mar 16, 2023
BACKGROUND: Endovascular thrombectomy (EVT) duration is an important predictor for neurological outcome. Recently it was shown that an angle of ≤ 90° of the internal carotid artery (ICA) is predictive for longer EVT duration. As manual angle measurem...
Automated detection of intracranial artery stenosis and occlusion in magnetic resonance angiography: A preliminary study based on deep learning.
Magnetic resonance imaging
Sep 26, 2022
BACKGROUND AND OBJECTIVES: Intracranial atherosclerotic stenosis of a major intracranial artery is the common cause of ischemic stroke. We evaluate the feasibility of using deep learning to automatically detect intracranial arterial steno-occlusive l...
Hybrid deep learning segmentation models for atherosclerotic plaque in internal carotid artery B-mode ultrasound.
Computers in biology and medicine
Aug 2, 2021
The automated and accurate carotid plaque segmentation in B-mode ultrasound (US) is an essential part of stroke risk stratification. Previous segmented methods used AtheroEdge™ 2.0 (AtheroPoint™, Roseville, CA) for the common carotid artery (CCA). Th...
Assistance from Automated ASPECTS Software Improves Reader Performance.
Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
May 11, 2021
PURPOSE: To compare physicians' ability to read Alberta Stroke Program Early CT Score (ASPECTS) in patients with a large vessel occlusion within 6 hours of symptom onset when assisted by a machine learning-based automatic software tool, compared with...
Clinical Competence
Magnetic Resonance Imaging
Predictive Value of Tests
Ischemic Stroke
Radiologists
Radiographic Image Interpretation, Computer-Assisted
Observer Variation
Automation
Reproducibility of Results
Aged
Humans
Male
Machine Learning
Middle Aged
Prognosis
Software
Middle Cerebral Artery
Tomography, X-Ray Computed
Carotid Artery, Internal
Female
Neurologists
Ultrasound-based internal carotid artery plaque characterization using deep learning paradigm on a supercomputer: a cardiovascular disease/stroke risk assessment system.
The international journal of cardiovascular imaging
Jan 9, 2021
Visual or manual characterization and classification of atherosclerotic plaque lesions are tedious, error-prone, and time-consuming. The purpose of this study is to develop and design an automated carotid plaque characterization and classification sy...
A case of central diabetes insipidus after ketamine infusion during an external to internal carotid artery bypass.
Journal of clinical anesthesia
Nov 25, 2016
STUDY OBJECTIVE: We report the first teenage case of ketamine-induced transient central diabetes insipidus.
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