AIMC Topic: Fluoroscopy

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The impact of robot-assisted spine surgeries on clinical outcomes: A systemic review and meta-analysis.

The international journal of medical robotics + computer assisted surgery : MRCAS Sep 28, 2020
BACKGROUND: Medical robotics has enabled a significant advancement in the field of modern spine surgery, especially in pedicle screw fixation. A plethora of studies focused on the accuracy of pedicle fixation in robotic-assisted (RA) technology. Howe...
Humans Robotics Spine Lumbar Vertebrae Pedicle Screws Robotic Surgical Procedures Fluoroscopy Spinal Fusion
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A novel fluoroscopy-based robot system for pedicle screw fixation surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS Sep 25, 2020
BACKGROUND: Robot-assisted pedicle screw insertion has gained popularity in the spinal surgery field. Due to high cost, these spinal robots are not extensively applied in clinical surgeries. Developing an effective robot system with low cost and high...
Pedicle Screws Spinal Fusion Lumbar Vertebrae Surgery, Computer-Assisted Animals Swine Robotics Fluoroscopy
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Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.

International journal of computer assisted radiology and surgery Jul 11, 2020
PURPOSE: Real-time, two (2D) and three-dimensional (3D) ultrasound (US) has been investigated as a potential alternative to fluoroscopy imaging in various surgical and non-surgical orthopedic procedures. However, low signal to noise ratio, imaging ar...
Humans Neural Networks, Computer Algorithms Ultrasonography Imaging, Three-Dimensional Image Processing, Computer-Assisted Computer Simulation Reproducibility of Results Diagnosis, Computer-Assisted Orthopedic Procedures Orthopedics Acoustics Artifacts Bone and Bones Fluoroscopy Bone Diseases
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Toward automatic C-arm positioning for standard projections in orthopedic surgery.

International journal of computer assisted radiology and surgery Jun 12, 2020
PURPOSE: Guidance and quality control in orthopedic surgery increasingly rely on intra-operative fluoroscopy using a mobile C-arm. The accurate acquisition of standardized and anatomy-specific projections is essential in this process. The correspondi...
Lumbar Vertebrae Femur Orthopedic Procedures Humans Computer Simulation Tomography, X-Ray Computed Deep Learning Imaging, Three-Dimensional Fluoroscopy
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Leveraging spatial uncertainty for online error compensation in EMT.

International journal of computer assisted radiology and surgery May 22, 2020
PURPOSE: Electromagnetic tracking (EMT) can potentially complement fluoroscopic navigation, reducing radiation exposure in a hybrid setting. Due to the susceptibility to external distortions, systematic error in EMT needs to be compensated algorithmi...
Electromagnetic Phenomena Radiation Exposure Uncertainty Algorithms Fluoroscopy Humans Neural Networks, Computer
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A machine learning-based real-time tumor tracking system for fluoroscopic gating of lung radiotherapy.

Physics in medicine and biology Apr 23, 2020
To improve respiratory-gated radiotherapy accuracy, we developed a machine learning approach for markerless tumor tracking and evaluated it using lung cancer patient data. Digitally reconstructed radiography (DRR) datasets were generated using planni...
Lung Neoplasms Fluoroscopy Likelihood Functions Machine Learning Radiotherapy, Image-Guided Humans Time Factors Image Processing, Computer-Assisted
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Catheter segmentation in X-ray fluoroscopy using synthetic data and transfer learning with light U-nets.

Computer methods and programs in biomedicine Feb 29, 2020
Background and objectivesAutomated segmentation and tracking of surgical instruments and catheters under X-ray fluoroscopy hold the potential for enhanced image guidance in catheter-based endovascular procedures. This article presents a novel method ...
Catheters X-Rays Fluoroscopy Surgery, Computer-Assisted Neural Networks, Computer Humans Deep Learning Image Processing, Computer-Assisted
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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...
Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Fluoroscopy Feasibility Studies Phantoms, Imaging Humans Movement Four-Dimensional Computed Tomography
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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...
Percutaneous Coronary Intervention Motion Bayes Theorem Pattern Recognition, Automated Radiography, Interventional Humans Radiographic Image Interpretation, Computer-Assisted Respiratory Mechanics Deep Learning Fluoroscopy Respiratory-Gated Imaging Techniques
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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).
Image Processing, Computer-Assisted Phantoms, Imaging Neural Networks, Computer Fluoroscopy Subtraction Technique Neoplasms Calibration
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