AIMC Topic: Coronary Vessels
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Deep learning with convolutional neural network for estimation of the characterisation of coronary plaques: Validation using IB-IVUS.
Radiography (London, England : 1995)
Aug 14, 2021
INTRODUCTION: Deep learning approaches have shown high diagnostic performance in image classifications, such as differentiation of malignant tumors and calcified coronary plaque. However, it is unknown whether deep learning is useful for characterizi...
Automatic detection of vessel structure by deep learning using intravascular ultrasound images of the coronary arteries.
PloS one
Aug 5, 2021
Intravascular ultrasound (IVUS) is a diagnostic modality used during percutaneous coronary intervention. However, specialist skills are required to interpret IVUS images. To address this issue, we developed a new artificial intelligence (AI) program ...
Application of Artificial Intelligence to Cardiovascular Computed Tomography.
Korean journal of radiology
Jul 26, 2021
Cardiovascular computed tomography (CT) is among the most active fields with ongoing technical innovation related to image acquisition and analysis. Artificial intelligence can be incorporated into various clinical applications of cardiovascular CT, ...
Guide-Wired Helical Microrobot for Percutaneous Revascularization in Chronic Total Occlusion in-Vivo Validation.
IEEE transactions on bio-medical engineering
Jul 16, 2021
OBJECTIVE: For the revascularization in small vessels such as coronary arteries, we present a guide-wired helical microrobot mimicking the corkscrew motion for mechanical atherectomy that enables autonomous therapeutics and minimizing the radiation e...
Deep-learning based super-resolution for 3D isotropic coronary MR angiography in less than a minute.
Magnetic resonance in medicine
Jul 9, 2021
PURPOSE: To develop and evaluate a novel and generalizable super-resolution (SR) deep-learning framework for motion-compensated isotropic 3D coronary MR angiography (CMRA), which allows free-breathing acquisitions in less than a minute.
Advanced deep learning methodology for accurate, real-time segmentation of high-resolution intravascular ultrasound images.
International journal of cardiology
Jun 18, 2021
AIMS: The aim of this study is to develop and validate a deep learning (DL) methodology capable of automated and accurate segmentation of intravascular ultrasound (IVUS) image sequences in real-time.
Coronary vessel detection methods for organ-mounted robots.
The international journal of medical robotics + computer assisted surgery : MRCAS
Jun 14, 2021
BACKGROUND: HeartLander is a tethered robot walker that utilizes suction to adhere to the beating heart. HeartLander can be used for minimally invasive administration of cardiac medications or ablation of tissue. In order to administer injections saf...
Automated classification of coronary atherosclerotic plaque in optical frequency domain imaging based on deep learning.
Atherosclerosis
Jun 7, 2021
BACKGROUND AND AIMS: We developed a deep learning (DL) model for automated atherosclerotic plaque categorization using optical frequency domain imaging (OFDI) and performed quantitative and visual evaluations.
Automatic coronary artery calcium scoring from unenhanced-ECG-gated CT using deep learning.
Diagnostic and interventional imaging
Jun 5, 2021
PURPOSE: The purpose of this study was to develop and evaluate an algorithm that can automatically estimate the amount of coronary artery calcium (CAC) from unenhanced electrocardiography (ECG)-gated computed tomography (CT) cardiac volume acquisitio...
Deep learning-based coronary artery motion estimation and compensation for short-scan cardiac CT.
Medical physics
May 26, 2021
PURPOSE: During a typical cardiac short scan, the heart can move several millimeters. As a result, the corresponding CT reconstructions may be corrupted by motion artifacts. Especially the assessment of small structures, such as the coronary arteries...
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