AIMC Topic: Diffusion Tensor Imaging

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Deep Learning-Based Tract Classification of Preoperative DWI Tractography Advances the Prediction of Short-Term Postoperative Language Improvement in Children With Drug-Resistant Epilepsy.

IEEE transactions on bio-medical engineering Jan 21, 2025
OBJECTIVE: To develop an innovative deep convolutional neural network (DCNN)-based tract classification to enhance the prediction of short-term postoperative language improvement using axonal connectivity markers derived from specific language modula...
Child, Preschool Female Child Postoperative Period Image Interpretation, Computer-Assisted Connectome Male Diffusion Tensor Imaging Humans Deep Learning Drug Resistant Epilepsy Brain Adolescent Language
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TractGraphFormer: Anatomically informed hybrid graph CNN-transformer network for interpretable sex and age prediction from diffusion MRI tractography.

Medical image analysis Jan 20, 2025
The relationship between brain connections and non-imaging phenotypes is increasingly studied using deep neural networks. However, the local and global properties of the brain's white matter networks are often overlooked in convolutional network desi...
Child Age Factors Sex Factors Image Interpretation, Computer-Assisted Male Deep Learning Adolescent White Matter Diffusion Tensor Imaging Humans Neural Networks, Computer Female Young Adult Adult
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Spherical Harmonics-Based Deep Learning Achieves Generalized and Accurate Diffusion Tensor Imaging.

IEEE journal of biomedical and health informatics Jan 7, 2025
Diffusion tensor imaging (DTI) is a prevalent magnetic resonance imaging (MRI) technique, widely used in clinical and neuroscience research. However, the reliability of DTI is affected by the low signal-to-noise ratio inherent in diffusion-weighted (...
Brain Deep Learning Image Processing, Computer-Assisted Diffusion Tensor Imaging Humans
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Conditional generative diffusion deep learning for accelerated diffusion tensor and kurtosis imaging.

Magnetic resonance imaging Dec 13, 2024
PURPOSE: The purpose of this study was to develop DiffDL, a generative diffusion probabilistic model designed to produce high-quality diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) metrics from a reduced set of diffusion-weighted...
Image Interpretation, Computer-Assisted Humans Signal-To-Noise Ratio Adult Algorithms Brain Connectome Diffusion Tensor Imaging Male Anisotropy Female Reproducibility of Results Diffusion Magnetic Resonance Imaging Deep Learning Image Processing, Computer-Assisted
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MRI classification of progressive supranuclear palsy, Parkinson disease and controls using deep learning and machine learning algorithms for the identification of regions and tracts of interest as potential biomarkers.

Computers in biology and medicine Dec 10, 2024
BACKGROUND: Quantitative magnetic resonance imaging (MRI) analysis has shown promise in differentiating neurodegenerative Parkinsonian syndromes and has significantly advanced our understanding of diseases like progressive supranuclear palsy (PSP) in...
Humans Middle Aged Deep Learning Magnetic Resonance Imaging Parkinson Disease Image Interpretation, Computer-Assisted Diffusion Tensor Imaging Supranuclear Palsy, Progressive Machine Learning Algorithms Brain Biomarkers Female Aged Male
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Limbic/paralimbic connection weakening in preschool autism-spectrum disorder based on diffusion basis spectrum imaging.

The European journal of neuroscience Dec 9, 2024
This study aims to investigate the value of basal ganglia and limbic/paralimbic networks alteration in identifying preschool children with ASD and normal controls using diffusion basis spectrum imaging (DBSI). DBSI data from 31 patients with ASD and ...
Diffusion Tensor Imaging Limbic System Male Child, Preschool Child Support Vector Machine Humans Autism Spectrum Disorder Female
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Detection of motor nervous disease using deep learning based Duple feature extraction network.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 21, 2024
BackgroundA motor nervous disease (MND) is a debilitating nervous disease that affects motor neurons that regulates the muscular voluntary movements. The disease gradually destroys parts of the neurological system. Generally, MND develops owing to a ...
Humans Diffusion Tensor Imaging Motor Neuron Disease Neural Networks, Computer Deep Learning Image Processing, Computer-Assisted
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Characterization of Brain Abnormalities in Lactational Neurodevelopmental Poly I:C Rat Model of Schizophrenia and Depression Using Machine-Learning and Quantitative MRI.

Journal of magnetic resonance imaging : JMRI Oct 28, 2024
BACKGROUND: A recent neurodevelopmental rat model, utilizing lactational exposure to polyriboinosinic-polyribocytidilic acid (Poly I:C) leads to mimics of behavioral phenotypes resembling schizophrenia-like symptoms in male offspring and depression-l...
Animals Male Depression Rats Machine Learning Brain Female Schizophrenia Lactation Diffusion Tensor Imaging Poly I-C Magnetic Resonance Imaging Rats, Sprague-Dawley Disease Models, Animal
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Automatic generation of diffusion tensor imaging for the lumbar nerve using convolutional neural networks.

Magnetic resonance imaging Sep 13, 2024
【PURPOSE】: Diffusion Tensor Imaging (DTI) with tractography is useful for the functional diagnosis of degenerative lumbar disorders. However, it is not widely used in clinical settings due to time and health care provider costs, as it is performed ma...
Middle Aged Deep Learning Image Processing, Computer-Assisted Female Lumbosacral Region Humans Aged Diffusion Tensor Imaging Neural Networks, Computer Adult Software Male
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Deep learning method with integrated invertible wavelet scattering for improving the quality ofcardiac DTI.

Physics in medicine and biology Sep 5, 2024
Respiratory motion, cardiac motion and inherently low signal-to-noise ratio (SNR) are major limitations ofcardiac diffusion tensor imaging (DTI). We propose a novel enhancement method that uses unsupervised learning based invertible wavelet scatterin...
Wavelet Analysis Diffusion Tensor Imaging Diastole Image Processing, Computer-Assisted Heart Humans Signal-To-Noise Ratio Deep Learning
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