AIMC Topic: Tomography Scanners, X-Ray Computed

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The impact of the combat method on radiomics feature compensation and analysis of scanners from different manufacturers.

BMC medical imaging Jun 6, 2024
BACKGROUND: This study investigated whether the Combat compensation method can remove the variability of radiomic features extracted from different scanners, while also examining its impact on the subsequent predictive performance of machine learning...
Humans Radiomics Neural Networks, Computer Principal Component Analysis Phantoms, Imaging Tomography Scanners, X-Ray Computed Machine Learning Algorithms Tomography, X-Ray Computed
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Reducing windmill artifacts in clinical spiral CT using a deep learning-based projection raw data upsampling: Method and robustness evaluation.

Medical physics Jan 16, 2024
BACKGROUND: Multislice spiral computed tomography (MSCT) requires an interpolation between adjacent detector rows during backprojection. Not satisfying the Nyquist sampling condition along the z-axis results in aliasing effects, also known as windmil...
Tomography Scanners, X-Ray Computed Artifacts Phantoms, Imaging Tomography, Spiral Computed Humans Algorithms Deep Learning Image Processing, Computer-Assisted
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Task-based assessment of resolution properties of CT images with a new index using deep convolutional neural network.

Radiological physics and technology Nov 6, 2023
In this study, we propose a method for obtaining a new index to evaluate the resolution properties of computed tomography (CT) images in a task-based manner. This method applies a deep convolutional neural network (DCNN) machine learning system train...
Tomography, X-Ray Computed Phantoms, Imaging Image Processing, Computer-Assisted Tomography Scanners, X-Ray Computed Radiation Dosage Neural Networks, Computer Algorithms
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Computed Tomography 2.0: New Detector Technology, AI, and Other Developments.

Investigative radiology Jun 28, 2023
Computed tomography (CT) dramatically improved the capabilities of diagnostic and interventional radiology. Starting in the early 1970s, this imaging modality is still evolving, although tremendous improvements in scan speed, volume coverage, spatial...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiation Dosage Phantoms, Imaging Humans Artificial Intelligence Software Tomography Scanners, X-Ray Computed
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Technical note: Phantom-based training framework for convolutional neural network CT noise reduction.

Medical physics Nov 26, 2022
BACKGROUND: Deep artificial neural networks such as convolutional neural networks (CNNs) have been shown to be effective models for reducing noise in CT images while preserving anatomic details. A practical bottleneck for developing CNN-based denoisi...
Signal-To-Noise Ratio Phantoms, Imaging Tomography Scanners, X-Ray Computed Neural Networks, Computer Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans
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Low-dose CT image and projection dataset.

Medical physics Dec 16, 2020
PURPOSE: To describe a large, publicly available dataset comprising computed tomography (CT) projection data from patient exams, both at routine clinical doses and simulated lower doses.
Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiation Dosage Thorax Tomography Scanners, X-Ray Computed Humans Artificial Intelligence Algorithms
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CNN-based PET sinogram repair to mitigate defective block detectors.

Physics in medicine and biology Dec 5, 2019
Positron emission tomography (PET) scanners continue to increase sensitivity and axial coverage by adding an ever expanding array of block detectors. As they age, one or more block detectors may lose sensitivity due to a malfunction or component fail...
Positron-Emission Tomography Artifacts Tomography Scanners, X-Ray Computed Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study.

European radiology Nov 26, 2019
OBJECTIVES: To predict the main component of pure and mixed kidney stones using dual-energy computed tomography and machine learning.
Humans Neural Networks, Computer Machine Learning Algorithms Tomography, X-Ray Computed Uric Acid Calcium Oxalate Struvite Urinary Calculi Phantoms, Imaging Xanthine Calcium Phosphates Tomography Scanners, X-Ray Computed Cysteine Kidney Calculi
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3D cone-beam CT of the ankle using a novel twin robotic X-ray system: Assessment of image quality and radiation dose.

European journal of radiology Sep 7, 2019
PURPOSE: To evaluate image quality (IQ) and radiation dose in cone-beam computed tomography (CBCT) of the ankle using a novel twin robotic X-ray system.
Equipment Design Phantoms, Imaging Radiation Dosage Cadaver X-Rays Signal-To-Noise Ratio Artifacts Tomography Scanners, X-Ray Computed Ankle Joint Humans Cone-Beam Computed Tomography Robotics
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Accuracy of robot-assisted versus optical frameless navigated stereoelectroencephalography electrode placement in children.

Journal of neurosurgery. Pediatrics Jan 4, 2019
OBJECTIVE The aim of this study was to compare the accuracy of optical frameless neuronavigation (ON) and robot-assisted (RA) stereoelectroencephalography (SEEG) electrode placement in children, and to identify factors that might increase the risk of...
Optical Devices Neuronavigation Tomography Scanners, X-Ray Computed Child Stereotaxic Techniques Female Robotics Imaging, Three-Dimensional Drug Resistant Epilepsy Male Electroencephalography Magnetic Resonance Imaging Electrodes, Implanted Child, Preschool Humans Brain Waves Brain Retrospective Studies
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