AIMC Topic: Carotid Arteries

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A deep learning oriented method for automated 3D reconstruction of carotid arterial trees from MR imaging.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
The scope of this paper is to present a new carotid vessel segmentation algorithm implementing the U-net based convolutional neural network architecture. With carotid atherosclerosis being the major cause of stroke in Europe, new methods that can pro...
Imaging, Three-Dimensional Magnetic Resonance Imaging Europe Deep Learning Carotid Arteries
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Deep Learning for Carotid Plaque Segmentation using a Dilated U-Net Architecture.

Ultrasonic imaging Jan 1, 2020
Carotid plaque segmentation in ultrasound longitudinal B-mode images using deep learning is presented in this work. We report on 101 severely stenotic carotid plaque patients. A standard U-Net is compared with a dilated U-Net architecture in which th...
Deep Learning Ultrasonography Humans Plaque, Atherosclerotic Carotid Stenosis Image Interpretation, Computer-Assisted Carotid Arteries
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Motion-compensated frame rate up-conversion in carotid ultrasound images using optical flow and manifold learning.

Turk Kardiyoloji Dernegi arsivi : Turk Kardiyoloji Derneginin yayin organidir Dec 1, 2019
OBJECTIVE: Carotid ultrasonography is a reliable and non-invasive method to evaluate atherosclerosis disease and its complications. B-mode cineloops are widely used to assess the severity of atherosclerosis and its progression; ho- wever, tracking ra...
Humans Machine Learning Male Ultrasonography Algorithms Female Carotid Arteries Image Processing, Computer-Assisted
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Integrating Active Learning and Transfer Learning for Carotid Intima-Media Thickness Video Interpretation.

Journal of digital imaging Apr 1, 2019
Cardiovascular disease (CVD) is the number one killer in the USA, yet it is largely preventable (World Health Organization 2011). To prevent CVD, carotid intima-media thickness (CIMT) imaging, a noninvasive ultrasonography method, has proven to be cl...
Carotid Arteries Machine Learning Ultrasonography Video Recording Carotid Intima-Media Thickness Humans
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[Clinical features and surgical treatment of neurilemmoma versus carotid body tumors at bifurcation of carotid artery].

Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences Dec 25, 2018
OBJECTIVE: To analyze clinical features, surgical treatment and outcomes of neurilemmoma and carotid body tumors in bifurcation of carotid artery.
Carotid Arteries Carotid Body Tumor Neurilemmoma Retrospective Studies Humans Treatment Outcome
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Context encoding enables machine learning-based quantitative photoacoustics.

Journal of biomedical optics May 1, 2018
Real-time monitoring of functional tissue parameters, such as local blood oxygenation, based on optical imaging could provide groundbreaking advances in the diagnosis and interventional therapy of various diseases. Although photoacoustic (PA) imaging...
Models, Cardiovascular Photoacoustic Techniques Signal Processing, Computer-Assisted Carotid Arteries Optical Imaging Oxyhemoglobins Humans Machine Learning Algorithms
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Efficacy and Safety Evaluation on Arterial Thrombolysis in Treating Acute Cerebral Infarction.

Cell biochemistry and biophysics Nov 1, 2015
The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis in treating acute cerebral infarction and further discuss the indications of acute cerebral infarction treatment, in order to enhance the therapeutic e...
Carotid Arteries Middle Cerebral Artery Infusions, Intra-Arterial Aged Cerebral Angiography Humans Cerebral Infarction Aged, 80 and over Middle Aged Tissue Plasminogen Activator Female Recombinant Proteins Fibrinolytic Agents Adult Male
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