AIMC Topic: Blood Vessels

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Neural Network Vessel Lumen Regression for Automated Lumen Cross-Section Segmentation in Cardiovascular Image-Based Modeling.

Cardiovascular engineering and technology Nov 11, 2020
PURPOSE: We accelerate a pathline-based cardiovascular model building method by training machine learning models to directly predict vessel lumen surface points from computed tomography (CT) and magnetic resonance (MR) medical image data.
Diagnosis, Computer-Assisted Humans Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Models, Cardiovascular Automation Reproducibility of Results Patient-Specific Modeling Blood Vessels Magnetic Resonance Angiography Computed Tomography Angiography
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Deep Learning-Based Super-resolution Ultrasound Speckle Tracking Velocimetry.

Ultrasound in medicine & biology Jan 6, 2020
Deep ultrasound localization microscopy (deep-ULM) allows sub-wavelength resolution imaging with deep learning. However, the injection of contrast agents (CAs) in deep-ULM is debatable because of their potential risk. In this study, we propose a deep...
Deep Learning Ultrasonography Regional Blood Flow Humans Rheology Blood Vessels
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VesselNet: A deep convolutional neural network with multi pathways for robust hepatic vessel segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 1, 2019
Extraction or segmentation of organ vessels is an important task for surgical planning and computer-aided diagnoses. This is a challenging task due to the extremely small size of the vessel structure, low SNR, and varying contrast in medical image da...
Algorithms Diagnosis, Computer-Assisted Deep Learning Humans Neural Networks, Computer Datasets as Topic Blood Vessels Imaging, Three-Dimensional Liver
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Reinforcement learning-based control of tumor growth under anti-angiogenic therapy.

Computer methods and programs in biomedicine Mar 8, 2019
BACKGROUND AND OBJECTIVES: In recent decades, cancer has become one of the most fatal and destructive diseases which is threatening humans life. Accordingly, different types of cancer treatment are studied with the main aim to have the best treatment...
Neovascularization, Pathologic Medical Informatics Endothelial Cells Probability Markov Chains Blood Vessels Neoplasms Time Factors Immunotherapy Angiogenesis Inhibitors Models, Statistical Machine Learning Algorithms Computer Simulation Humans
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Zebrafish Embryo Vessel Segmentation Using a Novel Dual ResUNet Model.

Computational intelligence and neuroscience Feb 3, 2019
Zebrafish embryo fluorescent vessel analysis, which aims to automatically investigate the pathogenesis of diseases, has attracted much attention in medical imaging. Zebrafish vessel segmentation is a fairly challenging task, which requires distinguis...
Blood Vessels Algorithms Animals Signal Processing, Computer-Assisted Zebrafish Embryo, Nonmammalian Models, Anatomic Neural Networks, Computer
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Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries.

IEEE transactions on bio-medical engineering Oct 22, 2018
OBJECTIVE: Segmentation of anatomical structures in ultrasound images requires vast radiological knowledge and experience. Moreover, the manual segmentation often results in subjective variations, therefore, an automatic segmentation is desirable. We...
Humans Neural Networks, Computer Ultrasonography Supervised Machine Learning Image Processing, Computer-Assisted Blood Vessels Liver
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Robust liver vessel extraction using 3D U-Net with variant dice loss function.

Computers in biology and medicine Aug 18, 2018
PURPOSE: Liver vessel extraction from CT images is essential in liver surgical planning. Liver vessel segmentation is difficult due to the complex vessel structures, and even expert manual annotations contain unlabeled vessels. This paper presents an...
Liver Blood Vessels Humans Machine Learning Databases, Factual Tomography, X-Ray Computed
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On the use of machine learning techniques for the mechanical characterization of soft biological tissues.

International journal for numerical methods in biomedical engineering Jul 12, 2018
Motivated by the search for new strategies for fitting a material model, a new approach is explored in the present work. The use of numerical and complex algorithms based on machine learning techniques such as support vector machines for regression, ...
Blood Vessels Machine Learning Models, Biological Stress, Mechanical Humans Neural Networks, Computer
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Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Scientific reports Jun 21, 2018
Black-blood (BB) imaging is used to complement contrast-enhanced 3D gradient-echo (CE 3D-GRE) imaging for detecting brain metastases, requiring additional scan time. In this study, we proposed deep-learned 3D BB imaging with an auto-labelling techniq...
Deep Learning Imaging, Three-Dimensional Magnetic Resonance Imaging Humans Male Aged Female Middle Aged Sensitivity and Specificity Blood Vessels Brain Neoplasms
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A fast and stable vascular deformation scheme for interventional surgery training system.

Biomedical engineering online Apr 6, 2016
BACKGROUND: The emergence and development of robot assistant interventional vascular surgery technologies have benefited many patients with cardiovascular or cerebrovascular diseases. Due to the absence of effective training measures, these new advan...
Vascular Surgical Procedures Machine Learning Models, Anatomic Robotics Blood Vessels
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