AIMC Topic: Image Enhancement

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Echocardiogram enhancement using supervised manifold denoising.

Medical image analysis May 21, 2015
This paper presents data-driven methods for echocardiogram enhancement. Existing denoising algorithms typically rely on a single noise model, and do not generalize to the composite noise sources typically found in real-world echocardiograms. Our meth...
Image Enhancement Signal-To-Noise Ratio Algorithms Supervised Machine Learning Reproducibility of Results Humans Image Interpretation, Computer-Assisted Sensitivity and Specificity Artifacts Echocardiography Pattern Recognition, Automated
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Automated extraction and labelling of the arterial tree from whole-body MRA data.

Medical image analysis May 21, 2015
In this work, we present a fully automated algorithm for extraction of the 3D arterial tree and labelling the tree segments from whole-body magnetic resonance angiography (WB-MRA) sequences. The algorithm developed consists of two core parts (i) 3D v...
Algorithms Female Reproducibility of Results Aged Humans Machine Learning Pattern Recognition, Automated Image Enhancement Sensitivity and Specificity Magnetic Resonance Angiography Male Arteries Imaging, Three-Dimensional Whole Body Imaging Image Interpretation, Computer-Assisted
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MR image synthesis by contrast learning on neighborhood ensembles.

Medical image analysis May 18, 2015
Automatic processing of magnetic resonance images is a vital part of neuroscience research. Yet even the best and most widely used medical image processing methods will not produce consistent results when their input images are acquired with differen...
Humans Machine Learning Algorithms Brain Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Reproducibility of Results Sensitivity and Specificity Magnetic Resonance Imaging Signal Processing, Computer-Assisted
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Online kernel slow feature analysis for temporal video segmentation and tracking.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 29, 2015
Slow feature analysis (SFA) is a dimensionality reduction technique which has been linked to how visual brain cells work. In recent years, the SFA was adopted for computer vision tasks. In this paper, we propose an exact kernel SFA (KSFA) framework f...
Pattern Recognition, Automated Image Enhancement Photography Subtraction Technique Signal Processing, Computer-Assisted Biomimetics Video Recording Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity
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Support vector machine classification of brain metastasis and radiation necrosis based on texture analysis in MRI.

Journal of magnetic resonance imaging : JMRI Apr 10, 2015
PURPOSE: To develop a classification model using texture features and support vector machine in contrast-enhanced T1-weighted images to differentiate between brain metastasis and radiation necrosis.
Support Vector Machine Contrast Media Magnetic Resonance Imaging Diagnosis, Differential Reproducibility of Results Brain Neoplasms Male Middle Aged Area Under Curve Image Enhancement Radiation Injuries Necrosis Humans Brain Retrospective Studies Female
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Robust representation and recognition of facial emotions using extreme sparse learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 25, 2015
Recognition of natural emotions from human faces is an interesting topic with a wide range of potential applications, such as human-computer interaction, automated tutoring systems, image and video retrieval, smart environments, and driver warning sy...
Emotions Image Interpretation, Computer-Assisted Pattern Recognition, Automated Facial Expression Image Enhancement Photography Machine Learning Facial Recognition Algorithms Subtraction Technique Reproducibility of Results Sensitivity and Specificity Humans
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Efficient method for analyzing MR real-time cines: Toward accurate quantification of left ventricular function.

Journal of magnetic resonance imaging : JMRI Mar 2, 2015
BACKGROUND: To develop and assess an efficient method to identify end-expiratory end-diastolic (ED) and end-systolic (ES) images for accurate quantification of left ventricular (LV) function in real-time cine imaging.
Ventricular Function, Left Young Adult Computer Systems Humans Adult Image Interpretation, Computer-Assisted Machine Learning Sensitivity and Specificity Observer Variation Algorithms Male Pattern Recognition, Automated Reproducibility of Results Image Enhancement History, Ancient Magnetic Resonance Imaging, Cine
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Structured patch model for a unified automatic and interactive segmentation framework.

Medical image analysis Jan 29, 2015
We present a novel interactive segmentation framework incorporating a priori knowledge learned from training data. The knowledge is learned as a structured patch model (StPM) comprising sets of corresponding local patch priors and their pairwise spat...
Subtraction Technique Machine Learning Models, Biological Computer Simulation Algorithms Image Interpretation, Computer-Assisted Reproducibility of Results Pattern Recognition, Automated Sensitivity and Specificity Image Enhancement Models, Statistical
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Predicting Prodromal Alzheimer's Disease in Subjects with Mild Cognitive Impairment Using Machine Learning Classification of Multimodal Multicenter Diffusion-Tensor and Magnetic Resonance Imaging Data.

Journal of neuroimaging : official journal of the American Society of Neuroimaging Jan 28, 2015
BACKGROUND: Alzheimer's disease (AD) patients show early changes in white matter (WM) structural integrity. We studied the use of diffusion tensor imaging (DTI) in assessing WM alterations in the predementia stage of mild cognitive impairment (MCI).
Image Enhancement Diffusion Tensor Imaging Humans Prodromal Symptoms Machine Learning Cognitive Dysfunction Algorithms Reproducibility of Results Multimodal Imaging Aged Alzheimer Disease Sensitivity and Specificity Image Interpretation, Computer-Assisted Male
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Watershed based intelligent scissors.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jan 21, 2015
Watershed based modification of intelligent scissors has been developed. This approach requires a preprocessing phase with anisotropic diffusion to reduce subtle edges. Then, the watershed transform enhances the corridors. Finally, a roaming procedur...
Pattern Recognition, Automated Image Enhancement Sensitivity and Specificity Humans Magnetic Resonance Imaging Algorithms Fuzzy Logic Tomography, X-Ray Computed Image Interpretation, Computer-Assisted Reproducibility of Results
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