AIMC Topic: Radiation Dosage

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Gradient regularized convolutional neural networks for low-dose CT image enhancement.

Physics in medicine and biology Aug 21, 2019
The potential risks of x-ray to patients have transferred the public's attention from normal dose CT (NDCT) to low-dose CT (LDCT). However, simply lowering the radiation dose of the CT system will significantly degrade the quality of CT images such a...
Radiation Dosage Signal-To-Noise Ratio Tomography, X-Ray Computed Artifacts Humans Neural Networks, Computer
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A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images.

Medical physics Aug 6, 2019
PURPOSE: Convolutional neural network (CNN)-based image denoising techniques have shown promising results in low-dose CT denoising. However, CNN often introduces blurring in denoised images when trained with a widely used pixel-level loss function. P...
Humans Image Processing, Computer-Assisted Neural Networks, Computer Radiation Dosage Tomography, X-Ray Computed Signal-To-Noise Ratio
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Machine Learning for Automatic Paraspinous Muscle Area and Attenuation Measures on Low-Dose Chest CT Scans.

Academic radiology Jul 17, 2019
RATIONALE AND OBJECTIVES: To develop and evaluate an automated machine learning (ML) algorithm for segmenting the paraspinous muscles on chest computed tomography (CT) scans to evaluate for presence of sarcopenia.
Radiation Dosage Paraspinal Muscles Middle Aged Sarcopenia Algorithms Tomography, X-Ray Computed Aged Male Female Humans Machine Learning
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A convolutional neural network for ultra-low-dose CT denoising and emphysema screening.

Medical physics Jul 17, 2019
PURPOSE: Reducing dose level to achieve ALARA is an important task in diagnostic and therapeutic applications of computed tomography (CT) imaging. Effective image quality enhancement strategies are crucial to compensate for the degradation caused by ...
Neural Networks, Computer Image Processing, Computer-Assisted Pulmonary Emphysema Image Enhancement Tomography, X-Ray Computed Lung Radiation Dosage Signal-To-Noise Ratio
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Deep learning-enabled accurate normalization of reconstruction kernel effects on emphysema quantification in low-dose CT.

Physics in medicine and biology Jul 4, 2019
Lung densitometry is being frequently adopted in CT-based emphysema quantification, yet known to be affected by the choice of reconstruction kernel. This study presents a two-step deep learning architecture that enables accurate normalization of reco...
Image Processing, Computer-Assisted Humans Pulmonary Emphysema Tomography, X-Ray Computed Radiation Dosage Deep Learning
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An image-based deep learning framework for individualizing radiotherapy dose.

The Lancet. Digital health Jun 27, 2019
BACKGROUND: Radiotherapy continues to be delivered uniformly without consideration of individual tumor characteristics. To advance toward more precise treatments in radiotherapy, we queried the lung computed tomography (CT)-derived feature space to i...
Male Aged Deep Learning Humans Aged, 80 and over Carcinoma, Non-Small-Cell Lung Radiation Dosage Female Radiosurgery
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Estimation of the radiation dose in pregnancy: an automated patient-specific model using convolutional neural networks.

European radiology Jun 21, 2019
OBJECTIVES: The conceptus dose during diagnostic imaging procedures for pregnant patients raises health concerns owing to the high radiosensitivity of the developing embryo/fetus. The aim of this work is to develop a methodology for automated constru...
Radiometry Radiography, Abdominal Monte Carlo Method Phantoms, Imaging Computer Simulation Adult Female Middle Aged Tomography, X-Ray Computed Humans Young Adult Radiation Dosage Pregnancy Neural Networks, Computer
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Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss.

Medical physics Jun 17, 2019
PURPOSE: Our goal was to use a generative adversarial network (GAN) with feature matching and task-specific perceptual loss to synthesize standard-dose amyloid Positron emission tomography (PET) images of high quality and including accurate pathologi...
Machine Learning Image Processing, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Positron-Emission Tomography
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Three-dimensional dose prediction for lung IMRT patients with deep neural networks: robust learning from heterogeneous beam configurations.

Medical physics Jun 17, 2019
PURPOSE: The use of neural networks to directly predict three-dimensional dose distributions for automatic planning is becoming popular. However, the existing methods use only patient anatomy as input and assume consistent beam configuration for all ...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Deep Learning Radiotherapy Planning, Computer-Assisted Radiation Dosage Lung Neoplasms
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Dose distribution prediction in isodose feature-preserving voxelization domain using deep convolutional neural network.

Medical physics Jun 7, 2019
PURPOSE: To implement a framework for dose prediction using a deep convolutional neural network (CNN) based on the concept of isodose feature-preserving voxelization (IFPV) in simplifying the representation of the dose distribution.
Radiation Dosage Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Radiotherapy Planning, Computer-Assisted
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