AIMC Journal:
IEEE transactions on medical imaging

Showing 581 to 590 of 699 articles

Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels.

IEEE transactions on medical imaging Mar 20, 2018
This paper introduces a fast, general method for dictionary-free parameter estimation in quantitative magnetic resonance imaging (QMRI) parameter estimation via regression with kernels (PERK). PERK first uses prior distributions and the nonlinear MR ...
Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Nonlinear Dynamics Machine Learning Algorithms Brain
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Deep Neural Networks for Ultrasound Beamforming.

IEEE transactions on medical imaging Feb 26, 2018
We investigate the use of deep neural networks (DNNs) for suppressing off-axis scattering in ultrasound channel data. Our implementation operates in the frequency domain via the short-time Fourier transform. The inputs to the DNN consisted of the sep...
Adult Male Deep Learning Humans Liver Ultrasonography Phantoms, Imaging Image Processing, Computer-Assisted Fourier Analysis
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Isotropic Reconstruction of MR Images Using 3D Patch-Based Self-Similarity Learning.

IEEE transactions on medical imaging Feb 19, 2018
Isotropic three-dimensional (3D) acquisition is a challenging task in magnetic resonance imaging (MRI). Particularly in cardiac MRI, due to hardware and time limitations, current 3D acquisitions are limited by low-resolution, especially in the throug...
Male Imaging, Three-Dimensional Magnetic Resonance Imaging Aged Young Adult Adult Heart Phantoms, Imaging Humans Machine Learning Algorithms Brain
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Concatenated and Connected Random Forests With Multiscale Patch Driven Active Contour Model for Automated Brain Tumor Segmentation of MR Images.

IEEE transactions on medical imaging Feb 13, 2018
Segmentation of brain tumors from magnetic resonance imaging (MRI) data sets is of great importance for improved diagnosis, growth rate prediction, and treatment planning. However, automating this process is challenging due to the presence of severe ...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Brain Brain Neoplasms Imaging, Three-Dimensional Machine Learning Algorithms Humans
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Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.

IEEE transactions on medical imaging Feb 9, 2018
Epicardial adipose tissue (EAT) is a visceral fat deposit related to coronary artery disease. Fully automated quantification of EAT volume in clinical routine could be a timesaving and reliable tool for cardiovascular risk assessment. We propose a ne...
Thorax Pericardium Humans Deep Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted Female Adipose Tissue Aged Male Middle Aged
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A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.

IEEE transactions on medical imaging Oct 13, 2017
Inspired by recent advances in deep learning, we propose a framework for reconstructing dynamic sequences of 2-D cardiac magnetic resonance (MR) images from undersampled data using a deep cascade of convolutional neural networks (CNNs) to accelerate ...
Image Processing, Computer-Assisted Heart Magnetic Resonance Imaging, Cine Algorithms Humans Databases, Factual Neural Networks, Computer
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Z-Index Parameterization for Volumetric CT Image Reconstruction via 3-D Dictionary Learning.

IEEE transactions on medical imaging Oct 5, 2017
Despite the rapid developments of X-ray cone-beam CT (CBCT), image noise still remains a major issue for the low dose CBCT. To suppress the noise effectively while retain the structures well for low dose CBCT image, in this paper, a sparse constraint...
Humans Machine Learning Algorithms Databases, Factual Head Cone-Beam Computed Tomography Female Male Image Processing, Computer-Assisted Prostate
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End-to-End Adversarial Retinal Image Synthesis.

IEEE transactions on medical imaging Oct 2, 2017
In medical image analysis applications, the availability of the large amounts of annotated data is becoming increasingly critical. However, annotated medical data is often scarce and costly to obtain. In this paper, we address the problem of synthesi...
Algorithms Humans Image Processing, Computer-Assisted Diagnostic Techniques, Ophthalmological Retina Neural Networks, Computer Retinal Vessels
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Low-Dose Lung CT Image Restoration Using Adaptive Prior Features From Full-Dose Training Database.

IEEE transactions on medical imaging Sep 27, 2017
The valuable structure features in full-dose computed tomography (FdCT) scans can be exploited as prior knowledge for low-dose CT (LdCT) imaging. However, lacking the capability to represent local characteristics of interested structures of the LdCT ...
Phantoms, Imaging Lung Algorithms Principal Component Analysis Imaging, Three-Dimensional Databases, Factual Humans Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Lung Neoplasms Machine Learning Radiation Dosage
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Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation.

IEEE transactions on medical imaging Sep 26, 2017
Incorporation of prior knowledge about organ shape and location is key to improve performance of image analysis approaches. In particular, priors can be useful in cases where images are corrupted and contain artefacts due to limitations in image acqu...
Algorithms Databases, Factual Imaging, Three-Dimensional Humans Cardiac Imaging Techniques Magnetic Resonance Imaging Heart Cardiomyopathies Neural Networks, Computer
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