AIMC Topic: Coronary Vessels

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Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier.

Medical image analysis Oct 22, 2018
Coronary artery centerline extraction in cardiac CT angiography (CCTA) images is a prerequisite for evaluation of stenoses and atherosclerotic plaque. In this work, we propose an algorithm that extracts coronary artery centerlines in CCTA using a con...
Algorithms Retrospective Studies Contrast Media Radiographic Image Interpretation, Computer-Assisted Netherlands Humans Neural Networks, Computer Coronary Vessels Computed Tomography Angiography
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Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS.

Journal of cardiovascular computed tomography Oct 21, 2018
BACKGROUND: To determine whether machine learning with histogram analysis of coronary CT angiography (CCTA) yields higher diagnostic performance for coronary plaque characterization than the conventional cut-off method using the median CT number.
Multidetector Computed Tomography Plaque, Atherosclerotic Computed Tomography Angiography Female Reproducibility of Results Humans Aged Coronary Angiography Machine Learning Male Ultrasonography, Interventional Retrospective Studies Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels
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A Magnetically Controlled Soft Microrobot Steering a Guidewire in a Three-Dimensional Phantom Vascular Network.

Soft robotics Oct 12, 2018
Magnetically actuated soft robots may improve the treatment of disseminated intravascular coagulation. Significant progress has been made in the development of soft robotic systems that steer catheters. A more challenging task, however, is the develo...
Coronary Vessels Magnetic Fields Magnetics Phantoms, Imaging Catheterization Humans Models, Theoretical Robotics
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Diagnostic performance of machine-learning-based computed fractional flow reserve (FFR) derived from coronary computed tomography angiography for the assessment of myocardial ischemia verified by invasive FFR.

The international journal of cardiovascular imaging Jul 30, 2018
To explore the diagnostic performance of a machine-learning-based (ML-based) computed fractional flow reserve (cFFR) derived from coronary computed tomography angiography (CCTA) in identifying ischemia-causing lesions verified by invasive FFR in cath...
Humans Machine Learning Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Fractional Flow Reserve, Myocardial Cardiac Catheters Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Multidetector Computed Tomography Computed Tomography Angiography Coronary Stenosis
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Machine learning in cardiac CT: Basic concepts and contemporary data.

Journal of cardiovascular computed tomography Apr 30, 2018
Propelled by the synergy of the groundbreaking advancements in the ability to analyze high-dimensional datasets and the increasing availability of imaging and clinical data, machine learning (ML) is poised to transform the practice of cardiovascular ...
Computed Tomography Angiography Algorithms Prognosis Reproducibility of Results Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Vascular Calcification Humans Machine Learning
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Maximization of the usage of coronary CTA derived plaque information using a machine learning based algorithm to improve risk stratification; insights from the CONFIRM registry.

Journal of cardiovascular computed tomography Apr 30, 2018
INTRODUCTION: Machine learning (ML) is a field in computer science that demonstrated to effectively integrate clinical and imaging data for the creation of prognostic scores. The current study investigated whether a ML score, incorporating only the 1...
Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis Registries Coronary Artery Disease Myocardial Infarction Coronary Vessels Multidetector Computed Tomography Male Middle Aged Risk Assessment Severity of Illness Index Time Factors ROC Curve Predictive Value of Tests Area Under Curve Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Prognosis Female Reproducibility of Results Risk Factors Aged Humans Machine Learning Algorithms
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A Novel Multiscale Gaussian-Matched Filter Using Neural Networks for the Segmentation of X-Ray Coronary Angiograms.

Journal of healthcare engineering Apr 18, 2018
The accurate and efficient segmentation of coronary arteries in X-ray angiograms represents an essential task for computer-aided diagnosis. This paper presents a new multiscale Gaussian-matched filter (MGMF) based on artificial neural networks. The p...
X-Rays Radiographic Image Enhancement ROC Curve Image Processing, Computer-Assisted Coronary Angiography Coronary Vessels Normal Distribution Humans Neural Networks, Computer Algorithms Diagnosis, Computer-Assisted
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Robotic-assisted transradial diagnostic coronary angiography.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Jan 4, 2018
Robotic percutaneous coronary interventions have recently been introduced in the cardiac catheterization laboratory. Robotics offers benefits of greater precision for stent placement and occupational hazard protection for operators and staff. First g...
Humans Aged Male Time Factors Catheterization, Peripheral Predictive Value of Tests Robotics Coronary Angiography Equipment Design Radial Artery Coronary Artery Disease Radiation Exposure Punctures Cardiac Catheters Coronary Vessels Radiation Dosage
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In Situ Skeletonized Right Internal Mammary Artery Bypass Grafting to Left Anterior Descending Artery.

International heart journal Dec 27, 2017
This study aimed to evaluate the feasibility and the mid-term efficacy of an in situ skeletonized right internal mammary artery (IMA) bypass grafting to a left anterior descending artery (LAD), and to determine risk factors for IMA graft failure in a...
Treatment Outcome Humans Adult Coronary Artery Bypass Follow-Up Studies Vascular Patency Male Retrospective Studies Coronary Angiography Mammary Arteries Female Middle Aged Coronary Artery Disease Computed Tomography Angiography Aged China Coronary Vessels Coronary Circulation Hospital Mortality
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Improved image quality with simultaneously reduced radiation exposure: Knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting.

Journal of cardiovascular computed tomography Feb 23, 2017
BACKGROUND: The aim of this study was to assess the potential for radiation dose reduction using knowledge-based iterative model reconstruction (K-IMR) algorithms in combination with ultra-low dose body mass index (BMI)-adapted protocols in coronary ...
Male Radiation Dosage Humans Radiographic Image Interpretation, Computer-Assisted Middle Aged Signal-To-Noise Ratio Coronary Artery Disease Algorithms Body Mass Index Multidetector Computed Tomography Knowledge Bases Female Predictive Value of Tests Computed Tomography Angiography Germany Reproducibility of Results Coronary Angiography Radiation Exposure Coronary Vessels Aged
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