AIMC Journal:
IEEE transactions on medical imaging

Showing 681 to 690 of 699 articles

Learning-Based Compressive MRI.

IEEE transactions on medical imaging Jun 1, 2018
In the area of magnetic resonance imaging (MRI), an extensive range of non-linear reconstruction algorithms has been proposed which can be used with general Fourier subsampling patterns. However, the design of these subsampling patterns has typically...
Brain Image Processing, Computer-Assisted Humans Machine Learning Magnetic Resonance Imaging Algorithms Signal Processing, Computer-Assisted Head
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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...
Photoacoustic Techniques Image Processing, Computer-Assisted Phantoms, Imaging Deep Learning Imaging, Three-Dimensional Humans Algorithms
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Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography.

IEEE transactions on medical imaging Jun 1, 2018
In the presence of metal implants, metal artifacts are introduced to x-ray computed tomography CT images. Although a large number of metal artifact reduction (MAR) methods have been proposed in the past decades, MAR is still one of the major problems...
Humans Tomography, X-Ray Computed Female Prostheses and Implants Metals Artifacts Middle Aged Image Processing, Computer-Assisted Deep Learning
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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...
Radiation Dosage Phantoms, Imaging Neural Networks, Computer Tomography, X-Ray Computed Algorithms Image Processing, Computer-Assisted Humans
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LEARN: Learned Experts' Assessment-Based Reconstruction Network for Sparse-Data CT.

IEEE transactions on medical imaging Jun 1, 2018
Compressive sensing (CS) has proved effective for tomographic reconstruction from sparsely collected data or under-sampled measurements, which are practically important for few-view computed tomography (CT), tomosynthesis, interior tomography, and so...
Radiography, Thoracic Radiography, Abdominal Deep Learning Image Processing, Computer-Assisted Humans Algorithms Databases, Factual 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 ...
Tomography, X-Ray Computed Deep Learning Phantoms, Imaging Humans Algorithms Radiographic Image Enhancement
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DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction.

IEEE transactions on medical imaging Jun 1, 2018
Compressed sensing magnetic resonance imaging (CS-MRI) enables fast acquisition, which is highly desirable for numerous clinical applications. This can not only reduce the scanning cost and ease patient burden, but also potentially reduce motion arte...
Magnetic Resonance Imaging Data Compression Algorithms Humans Deep Learning
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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...
Positron-Emission Tomography Phantoms, Imaging Image Processing, Computer-Assisted Neural Networks, Computer Bayes Theorem Algorithms Humans
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Image Reconstruction is a New Frontier of Machine Learning.

IEEE transactions on medical imaging Jun 1, 2018
Over past several years, machine learning, or more generally artificial intelligence, has generated overwhelming research interest and attracted unprecedented public attention. As tomographic imaging researchers, we share the excitement from our imag...
Algorithms Image Processing, Computer-Assisted Diagnostic Imaging Humans Machine Learning
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Articulated Multi-Instrument 2-D Pose Estimation Using Fully Convolutional Networks.

IEEE transactions on medical imaging May 1, 2018
Instrument detection, pose estimation, and tracking in surgical videos are an important vision component for computer-assisted interventions. While significant advances have been made in recent years, articulation detection is still a major challenge...
Humans Algorithms Surgical Instruments Databases, Factual Image Processing, Computer-Assisted Deep Learning Robotic Surgical Procedures
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