AIMC Topic: Fluoroscopy

Clear Filters Showing 61 to 70 of 118 articles

Real-time markerless tumour tracking with patient-specific deep learning using a personalised data generation strategy: proof of concept by phantom study.

The British journal of radiology Feb 28, 2020
OBJECTIVE: For real-time markerless tumour tracking in stereotactic lung radiotherapy, we propose a different approach which uses patient-specific deep learning (DL) using a personalised data generation strategy, avoiding the need for collection of a...
Humans Deep Learning Feasibility Studies Phantoms, Imaging Image Processing, Computer-Assisted Movement Four-Dimensional Computed Tomography Lung Neoplasms Fluoroscopy
View on PubMed DOI

Dynamic coronary roadmapping via catheter tip tracking in X-ray fluoroscopy with deep learning based Bayesian filtering.

Medical image analysis Jan 11, 2020
Percutaneous coronary intervention (PCI) is typically performed with image guidance using X-ray angiograms in which coronary arteries are opacified with X-ray opaque contrast agents. Interventional cardiologists typically navigate instruments using n...
Motion Pattern Recognition, Automated Radiography, Interventional Bayes Theorem Respiratory Mechanics Humans Radiographic Image Interpretation, Computer-Assisted Respiratory-Gated Imaging Techniques Deep Learning Fluoroscopy Percutaneous Coronary Intervention
View on PubMed DOI

Adaptive weighted log subtraction based on neural networks for markerless tumor tracking using dual-energy fluoroscopy.

Medical physics Jan 10, 2020
PURPOSE: To present a novel method, based on convolutional neural networks (CNN), to automate weighted log subtraction (WLS) for dual-energy (DE) fluoroscopy to be used in conjunction with markerless tumor tracking (MTT).
Phantoms, Imaging Subtraction Technique Neural Networks, Computer Image Processing, Computer-Assisted Neoplasms Fluoroscopy Calibration
View on PubMed DOI

Development of a Novel Prognostic Model to Predict 6-Month Swallowing Recovery After Ischemic Stroke.

Stroke Dec 30, 2019
Background and Purpose- The aim of this study was to explore clinical and radiological prognostic factors for long-term swallowing recovery in patients with poststroke dysphagia and to develop and validate a prognostic model using a machine learning ...
Stroke Sex Factors Brain Ischemia Proportional Hazards Models Magnetic Resonance Imaging Recovery of Function Fluoroscopy White Matter Enteral Nutrition Basal Ganglia Brain Stem Multivariate Analysis Cerebral Cortex Deglutition Disorders Algorithms Prognosis Female Male Middle Aged Reproducibility of Results Aged Humans Machine Learning Internal Capsule
View on PubMed DOI

Physics-driven learning of x-ray skin dose distribution in interventional procedures.

Medical physics Sep 6, 2019
PURPOSE: Radiation doses accumulated during very complicated image-guided x-ray procedures have the potential to cause stochastic, but also deterministic effects, such as skin rashes or even hair loss. To monitor and reduce radiation-related risks to...
Machine Learning Uncertainty Skin Fluoroscopy Neural Networks, Computer Radiation Dosage Monte Carlo Method
View on PubMed DOI

Enabling machine learning in X-ray-based procedures via realistic simulation of image formation.

International journal of computer assisted radiology and surgery Jun 11, 2019
PURPOSE: Machine learning-based approaches now outperform competing methods in most disciplines relevant to diagnostic radiology. Image-guided procedures, however, have not yet benefited substantially from the advent of deep learning, in particular b...
Humans Neural Networks, Computer Cadaver Scattering, Radiation X-Rays Models, Anatomic Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted Fluoroscopy Machine Learning Algorithms Computer Simulation
View on PubMed DOI

Reduction of operator radiation exposure using a passive robotic device during fluoroscopy-guided arterial puncture: an experimental study in a swine model.

European radiology experimental May 29, 2019
BACKGROUND: Vascular interventions imply radiation exposure to the operating physician (OP). To reduce radiation exposure, we propose a novel passive robotic device for fluoroscopy-guided arterial puncturing.
Surgery, Computer-Assisted Punctures Models, Animal Radiation Exposure Arteries Swine Occupational Exposure Robotics Fluoroscopy Animals Male
View on PubMed DOI

A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images.

Medical physics Apr 15, 2019
PURPOSE: Real-time image-guided adaptive radiation therapy (IGART) requires accurate marker segmentation to resolve three-dimensional (3D) motion based on two-dimensional (2D) fluoroscopic images. Most common marker segmentation methods require prior...
Fiducial Markers Humans Fluoroscopy Automation Dose Fractionation, Radiation Male Radiotherapy, Image-Guided Deep Learning Prostatic Neoplasms
View on PubMed DOI

Real-time tumor tracking using fluoroscopic imaging with deep neural network analysis.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Feb 25, 2019
PURPOSE: To improve respiratory gating accuracy and treatment throughput, we developed a fluoroscopic markerless tumor tracking algorithm based on a deep neural network (DNN).
Lung Neoplasms Time Factors Humans Fluoroscopy Liver Neoplasms Neural Networks, Computer Four-Dimensional Computed Tomography Image Processing, Computer-Assisted Retrospective Studies
View on PubMed DOI

Machine learning algorithms for predicting scapular kinematics.

Medical engineering & physics Feb 4, 2019
The goal of this study was to develop and validate a non-invasive approach to estimate scapular kinematics in individual patients. We hypothesized that machine learning algorithms could be developed using motion capture data to accurately estimate dy...
Mechanical Phenomena Movement Scapula Imaging, Three-Dimensional Adult Fluoroscopy Healthy Volunteers Biomechanical Phenomena Humans Machine Learning
View on PubMed DOI
Popular Topics
Recent Journals