AIMC Journal:
Medical physics

Showing 551 to 560 of 759 articles

Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI.

Medical physics Oct 14, 2019
PURPOSE: Early detection of carotid atherosclerosis on the vessel wall (VW) magnetic resonance imaging (MRI) (VW-MRI) images can prevent the progression of cardiovascular disease. However, the manual inspection process of the VW-MRI images is cumbers...
Humans Neural Networks, Computer Carotid Arteries Carotid Artery Diseases Image Processing, Computer-Assisted Magnetic Resonance Imaging
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Technical Note: Machine learning approaches for range and dose verification in proton therapy using proton-induced positron emitters.

Medical physics Oct 10, 2019
PURPOSE/OBJECTIVE(S): Online proton range/dose verification based on measurements of proton-induced positron emitters is a promising strategy for quality assurance in proton therapy. Because of the nonlinear correlation between the dose distribution ...
Proton Therapy Protons Electrons Radiation Dosage Radiotherapy Dosage Monte Carlo Method Machine Learning
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Automatic detection of contouring errors using convolutional neural networks.

Medical physics Sep 26, 2019
PURPOSE: To develop a head and neck normal structures autocontouring tool that could be used to automatically detect the errors in autocontours from a clinically validated autocontouring tool.
Neoplasms Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Humans Automation
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Computationally efficient deep neural network for computed tomography image reconstruction.

Medical physics Sep 21, 2019
PURPOSE: Deep neural network-based image reconstruction has demonstrated promising performance in medical imaging for undersampled and low-dose scenarios. However, it requires large amount of memory and extensive time for the training. It is especial...
Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted Deep Learning Time Factors Radiation Dosage Quality Control
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Image reconstruction for positron emission tomography based on patch-based regularization and dictionary learning.

Medical physics Sep 20, 2019
PURPOSE: Positron emission tomography (PET) is an important tool for nuclear medical imaging. It has been widely used in clinical diagnosis, scientific research, and drug testing. PET is a kind of emission computed tomography. Its basic imaging princ...
Brain Time Factors Humans Machine Learning Image Processing, Computer-Assisted Signal-To-Noise Ratio Positron-Emission Tomography
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Segmentation of dental cone-beam CT scans affected by metal artifacts using a mixed-scale dense convolutional neural network.

Medical physics Sep 13, 2019
PURPOSE: In order to attain anatomical models, surgical guides and implants for computer-assisted surgery, accurate segmentation of bony structures in cone-beam computed tomography (CBCT) scans is required. However, this image segmentation step is of...
Image Processing, Computer-Assisted Prostheses and Implants Artifacts Tooth Metals Cone-Beam Computed Tomography Humans Neural Networks, Computer
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HYDRA: Hybrid deep magnetic resonance fingerprinting.

Medical physics Sep 10, 2019
PURPOSE: Magnetic resonance fingerprinting (MRF) methods typically rely on dictionary matching to map the temporal MRF signals to quantitative tissue parameters. Such approaches suffer from inherent discretization errors, as well as high computationa...
Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted
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A modality conversion approach to MV-DRs and KV-DRRs registration using information bottlenecked conditional generative adversarial network.

Medical physics Sep 6, 2019
PURPOSE: As affordable equipment, electronic portal imaging devices (EPIDs) are wildly used in radiation therapy departments to verify patients' positions for accurate radiotherapy. However, these devices tend to produce visually ambiguous and low-co...
Machine Learning Radiography Image Processing, Computer-Assisted
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Toward predicting the evolution of lung tumors during radiotherapy observed on a longitudinal MR imaging study via a deep learning algorithm.

Medical physics Sep 6, 2019
PURPOSE: To predict the spatial and temporal trajectories of lung tumor during radiotherapy monitored under a longitudinal magnetic resonance imaging (MRI) study via a deep learning algorithm for facilitating adaptive radiotherapy (ART).
Retrospective Studies Humans Deep Learning Lung Neoplasms Magnetic Resonance Imaging
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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...
Fluoroscopy Radiation Dosage Monte Carlo Method Uncertainty Neural Networks, Computer Machine Learning Skin
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