AIMC Topic: Phantoms, Imaging

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3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network.

IEEE transactions on medical imaging Jun 1, 2018
Low-dose computed tomography (LDCT) has attracted major attention in the medical imaging field, since CT-associated X-ray radiation carries health risks for patients. The reduction of the CT radiation dose, however, compromises the signal-to-noise ra...
Humans Tomography, X-Ray Computed Deep Learning Algorithms Imaging, Three-Dimensional Phantoms, Imaging
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Penalized PET Reconstruction Using Deep Learning Prior and Local Linear Fitting.

IEEE transactions on medical imaging Jun 1, 2018
Motivated by the great potential of deep learning in medical imaging, we propose an iterative positron emission tomography reconstruction framework using a deep learning-based prior. We utilized the denoising convolutional neural network (DnCNN) meth...
Linear Models Phantoms, Imaging Databases, Factual Brain Image Processing, Computer-Assisted Humans Positron-Emission Tomography Algorithms Deep Learning
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Intelligent Parameter Tuning in Optimization-Based Iterative CT Reconstruction via Deep Reinforcement Learning.

IEEE transactions on medical imaging Jun 1, 2018
A number of image-processing problems can be formulated as optimization problems. The objective function typically contains several terms specifically designed for different purposes. Parameters in front of these terms are used to control the relativ...
Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Phantoms, Imaging Humans Algorithms
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Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography.

IEEE transactions on medical imaging Jun 1, 2018
Recent advances in deep learning for tomographic reconstructions have shown great potential to create accurate and high quality images with a considerable speed up. In this paper, we present a deep neural network that is specifically designed to prov...
Deep Learning Imaging, Three-Dimensional Humans Algorithms Photoacoustic Techniques Image Processing, Computer-Assisted Phantoms, Imaging
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Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network.

IEEE transactions on medical imaging Jun 1, 2018
Model-based iterative reconstruction algorithms for low-dose X-ray computed tomography (CT) are computationally expensive. To address this problem, we recently proposed a deep convolutional neural network (CNN) for low-dose X-ray CT and won the secon...
Humans Neural Networks, Computer Phantoms, Imaging Image Processing, Computer-Assisted Algorithms Radiation Dosage Tomography, X-Ray Computed
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Learned Primal-Dual Reconstruction.

IEEE transactions on medical imaging Jun 1, 2018
We propose the Learned Primal-Dual algorithm for tomographic reconstruction. The algorithm accounts for a (possibly non-linear) forward operator in a deep neural network by unrolling a proximal primal-dual optimization method, but where the proximal ...
Humans Phantoms, Imaging Tomography, X-Ray Computed Radiographic Image Enhancement Deep Learning Algorithms
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Artificial Neural Network Enhanced Bayesian PET Image Reconstruction.

IEEE transactions on medical imaging Jun 1, 2018
In positron emission tomography (PET) image reconstruction, the Bayesian framework with various regularization terms has been implemented to constrain the radio tracer distribution. Varying the regularizing weight of a maximum a posteriori (MAP) algo...
Humans Neural Networks, Computer Bayes Theorem Algorithms Positron-Emission Tomography Image Processing, Computer-Assisted Phantoms, Imaging
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Low dose CT reconstruction via L1 norm dictionary learning using alternating minimization algorithm and balancing principle.

Journal of X-ray science and technology Jan 1, 2018
Excessive radiation exposure in computed tomography (CT) scans increases the chance of developing cancer and has become a major clinical concern. Recently, statistical iterative reconstruction (SIR) with l0-norm dictionary learning regularization has...
Lung Humans Phantoms, Imaging Tomography, X-Ray Computed Algorithms Image Processing, Computer-Assisted Supervised Machine Learning Animals Sheep
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Projection decomposition algorithm for dual-energy computed tomography via deep neural network.

Journal of X-ray science and technology Jan 1, 2018
BACKGROUND: Dual-energy computed tomography (DECT) has been widely used to improve identification of substances from different spectral information. Decomposition of the mixed test samples into two materials relies on a well-calibrated material decom...
Phantoms, Imaging Image Processing, Computer-Assisted Signal-To-Noise Ratio Algorithms Tomography, X-Ray Computed Humans Neural Networks, Computer
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Hybrid piezoresistive-optical tactile sensor for simultaneous measurement of tissue stiffness and detection of tissue discontinuity in robot-assisted minimally invasive surgery.

Journal of biomedical optics Jul 1, 2017
To compensate for the lack of touch during minimally invasive and robotic surgeries, tactile sensors are integrated with surgical instruments. Surgical tools with tactile sensors have been used mainly for distinguishing among different tissues and de...
Phantoms, Imaging Minimally Invasive Surgical Procedures Computer Simulation Optical Fibers Touch Robotics
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