AIMC Topic: Cerebral Angiography

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Fully automated intracranial aneurysm detection and segmentation from digital subtraction angiography series using an end-to-end spatiotemporal deep neural network.

Journal of neurointerventional surgery May 29, 2020
BACKGROUND: Intracranial aneurysms (IAs) are common in the population and may cause death.
Humans Neural Networks, Computer Retrospective Studies Female Aged Time Factors Contrast Media Angiography, Digital Subtraction Cerebral Angiography Intracranial Aneurysm Adult Male Middle Aged Deep Learning
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Development and validation of machine learning prediction model based on computed tomography angiography-derived hemodynamics for rupture status of intracranial aneurysms: a Chinese multicenter study.

European radiology Apr 29, 2020
OBJECTIVES: To build models based on conventional logistic regression (LR) and machine learning (ML) algorithms combining clinical, morphological, and hemodynamic information to predict individual rupture status of unruptured intracranial aneurysms (...
Humans Neural Networks, Computer Machine Learning Cerebral Angiography Aneurysm, Ruptured Intracranial Aneurysm Clinical Decision Rules Male Aged Middle Aged Aged, 80 and over Adolescent Hemodynamics Young Adult Logistic Models Adult China Computer Simulation Support Vector Machine Retrospective Studies Area Under Curve Tomography, X-Ray Computed Computed Tomography Angiography Female
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Machine learning volumetry of ischemic brain lesions on CT after thrombectomy-prospective diagnostic accuracy study in ischemic stroke patients.

Neuroradiology Apr 22, 2020
PURPOSE: Ischemic lesion volume (ILV) is an important radiological predictor of functional outcome in patients with anterior circulation stroke. Our aim was to assess the agreement between automated ILV measurements on NCCT using the Brainomix softwa...
Prospective Studies Female Aged Sensitivity and Specificity Male Humans Machine Learning Software Cerebral Angiography Diffusion Magnetic Resonance Imaging Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Thrombectomy Computed Tomography Angiography
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Deep learning for automated cerebral aneurysm detection on computed tomography images.

International journal of computer assisted radiology and surgery Feb 13, 2020
PURPOSE: Cerebrovascular aneurysms are being observed with rapidly increasing incidence. Therefore, tools are needed for accurate and efficient detection of aneurysms. We used deep learning techniques with CT angiography acquired from multiple medica...
Intracranial Aneurysm Humans Databases, Factual Tomography, X-Ray Computed Sensitivity and Specificity Deep Learning Image Processing, Computer-Assisted Cerebral Angiography
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Data-efficient deep learning of radiological image data for outcome prediction after endovascular treatment of patients with acute ischemic stroke.

Computers in biology and medicine Oct 22, 2019
Treatment selection is becoming increasingly more important in acute ischemic stroke patient care. Clinical variables and radiological image biomarkers (old age, pre-stroke mRS, NIHSS, occlusion location, ASPECTS, among others) have an important role...
Neural Networks, Computer Prospective Studies Female Aged Aged, 80 and over Male Humans Middle Aged Postoperative Complications Registries Predictive Value of Tests Stroke Computed Tomography Angiography Brain Ischemia Cerebral Angiography Endovascular Procedures
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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning.

Medical image analysis Oct 15, 2019
CT Perfusion (CTP) imaging has gained importance in the diagnosis of acute stroke. Conventional perfusion analysis performs a deconvolution of the measurements and thresholds the perfusion parameters to determine the tissue status. We pursue a data-d...
Aged Datasets as Topic Male Cerebral Angiography Middle Aged Deep Learning Multicenter Studies as Topic Randomized Controlled Trials as Topic Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Cerebral Infarction Humans Tomography, X-Ray Computed Female
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Evaluation of an Artificial Intelligence-Based 3D-Angiography for Visualization of Cerebral Vasculature.

Clinical neuroradiology Oct 9, 2019
PURPOSE: The three-dimensional digital subtraction angiography (3D DSA) technique is the current standard and is based on both mask and fill runs to enable the subtraction technique. Artificial intelligence (AI)-based 3D angiography (3DA) was develop...
Cerebral Angiography Intracranial Aneurysm Brain Imaging, Three-Dimensional Radiation Dosage Angiography, Digital Subtraction Humans Artificial Intelligence
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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...
Patient Selection Automation Predictive Value of Tests Blood Flow Velocity Humans Cerebrovascular Circulation Thrombectomy Machine Learning Middle Cerebral Artery Prognosis Computed Tomography Angiography Triage Clinical Decision-Making Cerebral Angiography Radiographic Image Interpretation, Computer-Assisted Collateral Circulation Stroke
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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...
Cerebrovascular Circulation Moyamoya Disease Cerebral Angiography Severity of Illness Index Case-Control Studies Image Processing, Computer-Assisted Magnetic Resonance Angiography Brain Female Humans Young Adult Machine Learning Sensitivity and Specificity Middle Aged
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Deep convolutional neural networks for segmenting 3D in vivo multiphoton images of vasculature in Alzheimer disease mouse models.

PloS one Mar 13, 2019
The health and function of tissue rely on its vasculature network to provide reliable blood perfusion. Volumetric imaging approaches, such as multiphoton microscopy, are able to generate detailed 3D images of blood vessels that could contribute to ou...
Mice Humans Disease Models, Animal Cerebral Angiography Neural Networks, Computer Alzheimer Disease Microscopy, Fluorescence, Multiphoton Animals Cerebral Cortex Imaging, Three-Dimensional Mice, Transgenic
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