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Arteries

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Safety and feasibility of arterial wall targeting with robot-assisted high intensity focused ultrasound: a preclinical study.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group 32713277
PURPOSE: High-intensity focused ultrasound (HIFU) is a potential noninvasive thermal ablation method for the treatment of peripheral artery disease. Dual-mode ultrasound arrays (DMUA) offer the possibility of simultaneous imaging and treatment. In th...
Animals Arteries Feasibility Studies High-Intensity Focused Ultrasound Ablation Robotics Swine Transducers
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Multi-band MR fingerprinting (MRF) ASL imaging using artificial-neural-network trained with high-fidelity experimental data.

Magnetic resonance in medicine 33107100
PURPOSE: We aim to leverage the power of deep-learning with high-fidelity training data to improve the reliability and processing speed of hemodynamic mapping with MR fingerprinting (MRF) arterial spin labeling (ASL).
Adult Arteries Brain Mapping Cerebrovascular Circulation Computer Simulation Data Compression Female Gray Matter Healthy Volunteers Hemodynamics Humans Kinetics Magnetic Resonance Imaging Male Moyamoya Disease Neural Networks, Computer Perfusion Reproducibility of Results Spin Labels Young Adult
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Deep learning-based and hybrid-type iterative reconstructions for CT: comparison of capability for quantitative and qualitative image quality improvements and small vessel evaluation at dynamic CE-abdominal CT with ultra-high and standard resolutions.

Japanese journal of radiology 33037956
PURPOSE: To determine the image quality improvement including vascular structures using deep learning reconstruction (DLR) for ultra-high-resolution CT (UHR-CT) and area-detector CT (ADCT) compared to a commercially available hybrid-iterative reconst...
Abdomen Algorithms Arteries Carcinoma, Renal Cell Deep Learning Female Humans In Vitro Techniques Kidney Kidney Neoplasms Male Middle Aged Quality Improvement Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed
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Cleaning Up the MESS: Can Machine Learning Be Used to Predict Lower Extremity Amputation after Trauma-Associated Arterial Injury?

Journal of the American College of Surgeons 33022402
BACKGROUND: Thirty years after the Mangled Extremity Severity Score was developed, advances in vascular, trauma, and orthopaedic surgery have rendered the sensitivity of this score obsolete. A significant number of patients receive amputation during ...
Adult Algorithms Amputation, Surgical Arteries Decision Support Systems, Clinical Female Humans Leg Leg Injuries Logistic Models Machine Learning Male Reproducibility of Results Sensitivity and Specificity
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A review of machine learning methods for retinal blood vessel segmentation and artery/vein classification.

Medical image analysis 33385700
The eye affords a unique opportunity to inspect a rich part of the human microvasculature non-invasively via retinal imaging. Retinal blood vessel segmentation and classification are prime steps for the diagnosis and risk assessment of microvascular ...
Algorithms Arteries Humans Machine Learning Retina Retinal Vessels
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A new deep learning method for displacement tracking from ultrasound RF signals of vascular walls.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society 33341465
It is necessary to monitor the mechanical properties of arteries which directly related to cardiovascular diseases (CVDs) in the early stages. In this study, we proposed a new method based on deep learning (DL) to track the displacement of the vessel...
Arteries Computer Simulation Deep Learning Radio Waves Ultrasonography
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The 2020 SVM/SVU Consensus Statement for the Interpretation of Peripheral Arterial and Venous Doppler Waveforms: An interview with SVM members of the Writing Committee.

Vascular medicine (London, England) 33375915
Arteries Consensus Humans Support Vector Machine Veins Writing
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Ultrashort echo time time-spatial labeling inversion pulse magnetic resonance angiography with denoising deep learning reconstruction for the assessment of abdominal visceral arteries.

Journal of magnetic resonance imaging : JMRI 33368773
Current contrast-enhanced magnetic resonance angiography (MRA) and non-contrast-enhanced balanced steady-state free precession (bSSFP) MRA cause susceptibility artifacts from metallic devices in assessing endovascular visceral-artery interventions. T...
Arteries Artifacts Deep Learning Humans Imaging, Three-Dimensional Magnetic Resonance Angiography Magnetic Resonance Imaging Male Prospective Studies
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Editorial for "Ultrashort echo time time-spatial labeling inversion pulse magnetic resonance angiography with denoising deep learning reconstruction for the assessment of abdominal visceral arteries".

Journal of magnetic resonance imaging : JMRI 33368708
Abdomen Arteries Deep Learning Humans Imaging, Three-Dimensional Magnetic Resonance Angiography Magnetic Resonance Imaging
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Convolutional Neural Network Ensemble Segmentation With Ratio-Based Sampling for the Arteries and Veins in Abdominal CT Scans.

IEEE transactions on bio-medical engineering 33275574
OBJECTIVE: Three-dimensional (3D) blood vessel structure information is important for diagnosis and treatment in various clinical scenarios. We present a fully automatic method for the extraction and differentiation of the arterial and venous vessel ...
Abdomen Arteries Humans Image Processing, Computer-Assisted Neural Networks, Computer Tomography, X-Ray Computed
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