AIMC Topic: Fluoroscopy
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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 ...
Fluoroscopy
Stroke
Sex Factors
Brain Ischemia
Male
Humans
Middle Aged
Machine Learning
Magnetic Resonance Imaging
Algorithms
Recovery of Function
Prognosis
White Matter
Female
Enteral Nutrition
Reproducibility of Results
Basal Ganglia
Aged
Brain Stem
Internal Capsule
Proportional Hazards Models
Multivariate Analysis
Cerebral Cortex
Deglutition Disorders
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...
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...
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.
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...
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).
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...
Robot-Assisted Versus Fluoroscopy-Guided Pedicle Screw Placement in Transforaminal Lumbar Interbody Fusion for Lumbar Degenerative Disease.
World neurosurgery
Jan 29, 2019
OBJECTIVE: To compare the clinical accuracy and perioperative outcomes for pedicle screw placement in transforaminal lumbar interbody fusion (TLIF) between the robot-assisted (RA) technique and fluoroscopy-guided (FG) technique.
Robot-assisted intravertebral augmentation corrects local kyphosis more effectively than a conventional fluoroscopy-guided technique.
Journal of neurosurgery. Spine
Nov 30, 2018
OBJECTIVEIntravertebral augmentation (IVA) is a reliable minimally invasive technique for treating Magerl type A vertebral body fractures. However, poor correction of kyphotic angulation, the risk of cement leakage, and significant exposure to radiat...
Remote vs. conventional navigation for catheter ablation of atrial fibrillation: insights from prospective registry data.
Clinical research in cardiology : official journal of the German Cardiac Society
Aug 29, 2018
BACKGROUND: Robotic (RNS) or magnetic navigation systems (MNS) are available for remotely performed catheter ablation for atrial fibrillation (AF).
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