AIMC Topic: Radiation Dosage

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A deep learning approach to radiation dose estimation.

Physics in medicine and biology Feb 4, 2020
Currently methods for predicting absorbed dose after administering a radiopharmaceutical are rather crude in daily clinical practice. Most importantly, individual tissue density distributions as well as local variations of the concentration of the ra...
Deep Learning Radiopharmaceuticals Organs at Risk Tomography, X-Ray Computed Reproducibility of Results Neoplasms Tissue Distribution Glutamate Carboxypeptidase II Lutetium Radiation Dosage Monte Carlo Method Radioisotopes Humans Neural Networks, Computer Algorithms
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Artificial Intelligence and CT Image Reconstruction: Potential of a New Era in Radiation Dose Reduction.

Journal of the American College of Radiology : JACR Jan 28, 2020
Drug Tapering Image Processing, Computer-Assisted Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Artificial Intelligence Algorithms Tomography, X-Ray Computed
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Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT.

AJR. American journal of roentgenology Jan 22, 2020
The objective of this study was to compare image quality and clinically significant lesion detection on deep learning reconstruction (DLR) and iterative reconstruction (IR) images of submillisievert chest and abdominopelvic CT. Our prospective mult...
Radiography, Thoracic Radiography, Abdominal Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Aged Male Middle Aged Deep Learning Imaging, Three-Dimensional Contrast Media Prospective Studies Tomography, X-Ray Computed Female Humans
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Projection Space Implementation of Deep Learning-Guided Low-Dose Brain PET Imaging Improves Performance over Implementation in Image Space.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Jan 10, 2020
Our purpose was to assess the performance of full-dose (FD) PET image synthesis in both image and sinogram space from low-dose (LD) PET images and sinograms without sacrificing diagnostic quality using deep learning techniques. Clinical brain PET/CT...
Humans Male Deep Learning Image Processing, Computer-Assisted Brain Female Aged Positron Emission Tomography Computed Tomography Radiation Dosage
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Improving Low-contrast Detectability and Noise Texture Pattern for Computed Tomography Using Iterative Reconstruction Accelerated with Machine Learning Method: A Phantom Study.

Academic radiology Jan 7, 2020
RATIONALE AND OBJECTIVES: To evaluate the performance of iterative reconstruction (IR) and filtered back projection (FBP) images in terms of low-contrast detectability at different radiation doses, IR levels, and slice thickness using the mathematica...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Phantoms, Imaging Machine Learning Algorithms Tomography, X-Ray Computed
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Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose-volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy.

Medical physics Dec 29, 2019
PURPOSE: We propose a novel domain-specific loss, which is a differentiable loss function based on the dose-volume histogram (DVH), and combine it with an adversarial loss for the training of deep neural networks. In this study, we trained a neural n...
Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Male Humans Radiation Dosage Radiotherapy Dosage Deep Learning
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Cardiac substructure segmentation with deep learning for improved cardiac sparing.

Medical physics Dec 29, 2019
PURPOSE: Radiation dose to cardiac substructures is related to radiation-induced heart disease. However, substructures are not considered in radiation therapy planning (RTP) due to poor visualization on CT. Therefore, we developed a novel deep learni...
Deep Learning Image Processing, Computer-Assisted Heart Feasibility Studies Radiation Dosage Phantoms, Imaging Humans
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Synthesizing images from multiple kernels using a deep convolutional neural network.

Medical physics Dec 29, 2019
PURPOSE: Filtering measured projections with a particular convolutional kernel is an essential step in analytic reconstruction of computed tomography (CT) images. A tradeoff between noise and spatial resolution exists for different choices of reconst...
Image Processing, Computer-Assisted Radiation Dosage Signal-To-Noise Ratio Tomography, X-Ray Computed Deep Learning
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Impact of Deep Learning-based Optimization Algorithm on Image Quality of Low-dose Coronary CT Angiography with Noise Reduction: A Prospective Study.

Academic radiology Dec 19, 2019
RATIONALE AND OBJECTIVES: To evaluate deep learning (DL)-based optimization algorithm for low-dose coronary CT angiography (CCTA) image noise reduction and image quality (IQ) improvement.
Coronary Angiography Humans Signal-To-Noise Ratio Prospective Studies Radiographic Image Interpretation, Computer-Assisted Algorithms Computed Tomography Angiography Deep Learning Radiation Dosage Contrast Media
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Twin Robotic X-Ray System for 3D Cone-Beam CT of the Wrist: An Evaluation of Image Quality and Radiation Dose.

AJR. American journal of roentgenology Dec 4, 2019
The purpose of this study was to assess image quality and radiation dose of a novel twin robotic x-ray system's 3D cone-beam CT (CBCT) function for the depiction of cadaveric wrists. Sixteen cadaveric wrists were scanned using dedicated low-dose an...
Patient Positioning Wrist Joint Artifacts Radiation Dosage Imaging, Three-Dimensional Humans Robotics Cone-Beam Computed Tomography Cadaver
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