AIMC Topic: Diffusion Tensor Imaging

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Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks.

NeuroImage Jan 28, 2016
Identifying diffuse axonal injury (DAI) in patients with traumatic brain injury (TBI) presenting with normal appearing radiological MRI presents a significant challenge. Neuroimaging methods such as diffusion MRI and probabilistic tractography, which...
Machine Learning Female Adult Male Humans Connectome Neural Pathways Diffusion Tensor Imaging Diffuse Axonal Injury Middle Aged Brain Injuries, Traumatic Image Interpretation, Computer-Assisted White Matter
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Training shortest-path tractography: Automatic learning of spatial priors.

NeuroImage Jan 22, 2016
Tractography is the standard tool for automatic delineation of white matter tracts from diffusion weighted images. However, the output of tractography often requires post-processing to remove false positives and ensure a robust delineation of the stu...
Humans Machine Learning Algorithms Diffusion Tensor Imaging
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Disrupted white matter connectivity underlying developmental dyslexia: A machine learning approach.

Human brain mapping Jan 20, 2016
Developmental dyslexia has been hypothesized to result from multiple causes and exhibit multiple manifestations, implying a distributed multidimensional effect on human brain. The disruption of specific white-matter (WM) tracts/regions has been obser...
White Matter Nerve Net Diffusion Tensor Imaging Dyslexia Adolescent Cohort Studies Child Psychomotor Performance Humans Machine Learning Female Male
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Noise reduction of diffusion tensor images by sparse representation and dictionary learning.

Biomedical engineering online Jan 13, 2016
BACKGROUND: The low quality of diffusion tensor image (DTI) could affect the accuracy of oncology diagnosis.
Imaging, Three-Dimensional Image Enhancement Signal-To-Noise Ratio Haplorhini Diffusion Tensor Imaging Humans Machine Learning Brain Animals
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Studying depression using imaging and machine learning methods.

NeuroImage. Clinical Nov 10, 2015
Depression is a complex clinical entity that can pose challenges for clinicians regarding both accurate diagnosis and effective timely treatment. These challenges have prompted the development of multiple machine learning methods to help improve the ...
Humans Machine Learning Brain Depressive Disorder, Major Diagnosis, Computer-Assisted Magnetic Resonance Imaging Diffusion Tensor Imaging
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Machine Learning of DTI Structural Brain Connectomes for Lateralization of Temporal Lobe Epilepsy.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine Sep 4, 2015
BACKGROUND AND PURPOSE: We analyzed the ability of a machine learning approach that uses diffusion tensor imaging (DTI) structural connectomes to determine lateralization of epileptogenicity in temporal lobe epilepsy (TLE).
Temporal Lobe Globus Pallidus Nucleus Accumbens Occipital Lobe Imaging, Three-Dimensional Support Vector Machine Hippocampus Connectome Gyrus Cinguli Adult Epilepsy, Temporal Lobe Male Diffusion Tensor Imaging Middle Aged Frontal Lobe Case-Control Studies Humans Brain Machine Learning Retrospective Studies Female Young Adult
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Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data.

NeuroImage Jun 6, 2015
The objective of this study is to evaluate machine learning algorithms aimed at predicting surgical treatment outcomes in groups of patients with temporal lobe epilepsy (TLE) using only the structural brain connectome. Specifically, the brain connect...
Humans Machine Learning Algorithms Retrospective Studies Female Aged Young Adult Adult Male Middle Aged Diagnosis, Computer-Assisted Adolescent Epilepsy, Temporal Lobe Diffusion Tensor Imaging Cohort Studies Treatment Outcome White Matter Connectome
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Multimodal analysis of functional and structural disconnection in Alzheimer's disease using multiple kernel SVM.

Human brain mapping Feb 9, 2015
Alzheimer's disease (AD) patients exhibit alterations in the functional connectivity between spatially segregated brain regions which may be related to both local gray matter (GM) atrophy as well as a decline in the fiber integrity of the underlying ...
Magnetic Resonance Imaging Humans Female Brain Mapping Alzheimer Disease Brain Multimodal Imaging Aged Pattern Recognition, Automated Diffusion Tensor Imaging Area Under Curve Male Rest Support Vector Machine Gray Matter
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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).
Multimodal Imaging Diffusion Tensor Imaging Aged Humans Prodromal Symptoms Alzheimer Disease Machine Learning Sensitivity and Specificity Image Interpretation, Computer-Assisted Algorithms Male Image Enhancement Reproducibility of Results Cognitive Dysfunction
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Detection of temporal lobe epilepsy using support vector machines in multi-parametric quantitative MR imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 21, 2014
The detection of MRI abnormalities that can be associated to seizures in the study of temporal lobe epilepsy (TLE) is a challenging task. In many cases, patients with a record of epileptic activity do not present any discernible MRI findings. In this...
Pattern Recognition, Automated Humans Image Enhancement Machine Learning Epilepsy, Temporal Lobe Male Algorithms Diffusion Tensor Imaging Support Vector Machine Female Multimodal Imaging Reproducibility of Results Image Interpretation, Computer-Assisted Adult Sensitivity and Specificity
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