AIMC Topic: Phantoms, Imaging

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Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images.

PloS one May 9, 2018
In pathology, Immunohistochemical staining (IHC) of tissue sections is regularly used to diagnose and grade malignant tumors. Typically, IHC stain interpretation is rendered by a trained pathologist using a manual method, which consists of counting e...
Image Processing, Computer-Assisted Humans Antigens, Neoplasm Neural Networks, Computer Immunohistochemistry Observer Variation Phantoms, Imaging Female Ki-67 Antigen
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Deep D-Bar: Real-Time Electrical Impedance Tomography Imaging With Deep Neural Networks.

IEEE transactions on medical imaging Apr 27, 2018
The mathematical problem for electrical impedance tomography (EIT) is a highly nonlinear ill-posed inverse problem requiring carefully designed reconstruction procedures to ensure reliable image generation. D-bar methods are based on a rigorous mathe...
Tomography Radiography, Thoracic Phantoms, Imaging Fourier Analysis Lung Deep Learning Electric Impedance Humans Algorithms Computer Simulation
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Enhancing the Image Quality via Transferred Deep Residual Learning of Coarse PET Sinograms.

IEEE transactions on medical imaging Apr 26, 2018
Increasing the image quality of positron emission tomography (PET) is an essential topic in the PET community. For instance, thin-pixelated crystals have been used to provide high spatial resolution images but at the cost of sensitivity and manufactu...
Positron-Emission Tomography Phantoms, Imaging Algorithms Animals Deep Learning Image Processing, Computer-Assisted Mice
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Single-shot T mapping using overlapping-echo detachment planar imaging and a deep convolutional neural network.

Magnetic resonance in medicine Apr 24, 2018
PURPOSE: An end-to-end deep convolutional neural network (CNN) based on deep residual network (ResNet) was proposed to efficiently reconstruct reliable T mapping from single-shot overlapping-echo detachment (OLED) planar imaging.
Algorithms Brain Computer Simulation Humans Phantoms, Imaging Echo-Planar Imaging Adult Deep Learning Image Processing, Computer-Assisted
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Learning-based endovascular navigation through the use of non-rigid registration for collaborative robotic catheterization.

International journal of computer assisted radiology and surgery Apr 12, 2018
PURPOSE: Endovascular intervention is limited by two-dimensional intraoperative imaging and prolonged procedure times in the presence of complex anatomies. Robotic catheter technology could offer benefits such as reduced radiation exposure to the cli...
Humans Phantoms, Imaging Aorta, Thoracic Endovascular Procedures Catheters Robotics Robotic Surgical Procedures Vascular Diseases
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MR fingerprinting Deep RecOnstruction NEtwork (DRONE).

Magnetic resonance in medicine Apr 6, 2018
PURPOSE: Demonstrate a novel fast method for reconstruction of multi-dimensional MR Fingerprinting (MRF) data using Deep Learning methods.
Deep Learning Image Processing, Computer-Assisted Models, Theoretical Signal-To-Noise Ratio Reproducibility of Results Humans Adult Monte Carlo Method Neural Networks, Computer Male Phantoms, Imaging Algorithms Normal Distribution Brain Magnetic Resonance Imaging Computer Simulation Healthy Volunteers Neuroimaging
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Super-resolution musculoskeletal MRI using deep learning.

Magnetic resonance in medicine Mar 26, 2018
PURPOSE: To develop a super-resolution technique using convolutional neural networks for generating thin-slice knee MR images from thicker input slices, and compare this method with alternative through-plane interpolation methods.
Signal-To-Noise Ratio Osteoarthritis, Knee Phantoms, Imaging Pilot Projects Imaging, Three-Dimensional Magnetic Resonance Imaging Cartilage Diseases Knee Humans Algorithms Deep Learning
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Machine learning RF shimming: Prediction by iteratively projected ridge regression.

Magnetic resonance in medicine Mar 23, 2018
PURPOSE: To obviate online slice-by-slice RF shim optimization and reduce B1+ mapping requirements for patient-specific RF shimming in high-field magnetic resonance imaging.
Algorithms Supervised Machine Learning Databases, Factual Humans Head Brain Phantoms, Imaging Computer Simulation Image Processing, Computer-Assisted Magnetic Resonance Imaging
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A machine learning approach to the accurate prediction of monitor units for a compact proton machine.

Medical physics Mar 23, 2018
PURPOSE: Clinical treatment planning systems for proton therapy currently do not calculate monitor units (MUs) in passive scatter proton therapy due to the complexity of the beam delivery systems. Physical phantom measurements are commonly employed t...
Scattering, Radiation Phantoms, Imaging Proton Therapy Humans Machine Learning Radiotherapy Planning, Computer-Assisted
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Convolution neural networks for real-time needle detection and localization in 2D ultrasound.

International journal of computer assisted radiology and surgery Mar 6, 2018
PURPOSE: We propose a framework for automatic and accurate detection of steeply inserted needles in 2D ultrasound data using convolution neural networks. We demonstrate its application in needle trajectory estimation and tip localization.
Neural Networks, Computer Animals Swine Ultrasonography Cattle Anesthesia, Epidural Spine Needles Phantoms, Imaging
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