AIMC Topic: Tomography Scanners, X-Ray Computed

Clear Filters Showing 1 to 10 of 14 articles

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 Neural Networks, Computer Radiomics Principal Component Analysis Phantoms, Imaging Tomography Scanners, X-Ray Computed Machine Learning Algorithms Tomography, X-Ray Computed
View on PubMed DOI

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
View on PubMed DOI

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...
Phantoms, Imaging Tomography Scanners, X-Ray Computed Tomography, X-Ray Computed Image Processing, Computer-Assisted Radiation Dosage Neural Networks, Computer Algorithms
View on PubMed DOI

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
View on PubMed DOI

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
View on PubMed DOI

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
View on PubMed DOI

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 Humans Image Processing, Computer-Assisted Neural Networks, Computer
View on PubMed DOI

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 Calcium Phosphates Cysteine Phantoms, Imaging Kidney Calculi Xanthine Tomography Scanners, X-Ray Computed
View on PubMed DOI

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 Cadaver Artifacts Humans Phantoms, Imaging Cone-Beam Computed Tomography X-Rays Radiation Dosage Robotics Tomography Scanners, X-Ray Computed Signal-To-Noise Ratio Ankle Joint
View on PubMed DOI

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 Stereotaxic Techniques Female Child Drug Resistant Epilepsy Robotics Male Imaging, Three-Dimensional Electrodes, Implanted Electroencephalography Child, Preschool Magnetic Resonance Imaging Brain Waves Humans Brain Retrospective Studies
View on PubMed DOI
Popular Topics
Recent Journals