Papers Diffusion MRI
“Diffusion MRI” 태그가 달린 논문 213편 · 필터 해제
Meta-modal Information Flow: A Method for Capturing Multimodal Modular Disconnectivity in Schizophrenia
Objective: Multimodal measurements of the same phenomena provide complementary information and highlight different perspectives, albeit each with their own limitations. A focus on a single modality may lead to incorrect …
Diffusion MRIQC-Automator: Deep Learning-based Automated Quality Control for Diffusion MR Images
Quality assessment of diffusion MRI (dMRI) data is essential prior to any analysis, so that appropriate pre-processing can be used to improve data quality and ensure that the presence of MRI artifacts do not affect the r…
Artifact DetectionDiffusion MRITransfer LearningImproved functional MRI activation mapping in white matter through diffusion-adapted spatial filtering
Brain activation mapping using functional MRI (fMRI) based on blood oxygenation level-dependent (BOLD) contrast has been conventionally focused on probing gray matter, the BOLD contrast in white matter having been genera…
DenoisingDiffusion MRISpecificityHarmonization of diffusion MRI datasets with adaptive dictionary learning
Diffusion magnetic resonance imaging is a noninvasive imaging technique that can indirectly infer the microstructure of tissues and provide metrics which are subject to normal variability across subjects. Potentially abn…
Dictionary LearningDiffusion MRIFitting IVIM with Variable Projection and Simplicial Optimization
Fitting multi-exponential models to Diffusion MRI (dMRI) data has always been challenging due to various underlying complexities. In this work, we introduce a novel and robust fitting framework for the standard two-compa…
Diffusion MRIglobal-optimizationReproducible White Matter Tract Segmentation Using 3D U-Net on a Large-scale DTI Dataset
Tract-specific diffusion measures, as derived from brain diffusion MRI, have been linked to white matter tract structural integrity and neurodegeneration. As a consequence, there is a large interest in the automatic segm…
Diffusion MRISegmentationFast Sub-millimeter Diffusion MRI using gSlider-SMS and SNR-Enhancing Joint Reconstruction
We evaluate a new approach for achieving diffusion MRI data with high spatial resolution, large volume coverage, and fast acquisition speed. A recent method called gSlider-SMS enables whole-brain sub-millimeter diffusi…
DenoisingDiffusion MRIIdentification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method
Mild Traumatic Brain Injury (mTBI) is a significant public health problem. The most troubling symptoms after mTBI are cognitive complaints. Studies show measurable differences between patients with mTBI and healthy contr…
Diffusion MRIfeature selectionUncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement
Deep learning (DL) has shown great potential in medical image enhancement problems, such as super-resolution or image synthesis. However, to date, little consideration has been given to uncertainty quantification over th…
Bayesian InferenceDeep LearningDiffusion MRIImage Enhancement+4Automated characterization of noise distributions in diffusion MRI data
Purpose: To understand and characterize noise distributions in parallel imaging for diffusion MRI. Theory and Methods: Two new automated methods using the moments and the maximum likelihood equations of the Gamma distr…
DenoisingDiffusion MRIScanner Invariant Representations for Diffusion MRI Harmonization
Purpose: In the present work we describe the correction of diffusion-weighted MRI for site and scanner biases using a novel method based on invariant representation. Theory and Methods: Pooled imaging data from multiple …
Diffusion MRIFairnessImage ReconstructionQuantification of structural brain connectivity via a conductance model
Connectomics has proved promising in quantifying and understanding the effects of development, aging and an array of diseases on the brain. In this work, we propose a new structural connectivity measure from diffusion MR…
Diffusion MRIFunctional ConnectivityJoint inference on structural and diffusion MRI for sequence-adaptive Bayesian segmentation of thalamic nuclei with probabilistic atlases
Segmentation of structural and diffusion MRI (sMRI/dMRI) is usually performed independently in neuroimaging pipelines. However, some brain structures (e.g., globus pallidus, thalamus and its nuclei) can be extracted more…
Diffusion MRISegmentationCombined tract segmentation and orientation mapping for bundle-specific tractography
While the major white matter tracts are of great interest to numerous studies in neuroscience and medicine, their manual dissection in larger cohorts from diffusion MRI tractograms is time-consuming, requires expert know…
ClusteringDiffusion MRIReproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease
Diffusion MRI is the modality of choice to study alterations of white matter. In past years, various works have used diffusion MRI for automatic classification of AD. However, classification performance obtained with dif…
ClassificationDiffusion MRIGeneral ClassificationSmall Data Image ClassificationMoDL-MUSSELS: Model-Based Deep Learning for Multi-Shot Sensitivity Encoded Diffusion MRI
We introduce a model-based deep learning architecture termed MoDL-MUSSELS for the correction of phase errors in multishot diffusion-weighted echo-planar MRI images. The proposed algorithm is a generalization of existing …
Diffusion MRISensitivityGenerating Diffusion MRI scalar maps from T1 weighted images using generative adversarial networks
Diffusion magnetic resonance imaging (diffusion MRI) is a non-invasive microstructure assessment technique. Scalar measures, such as FA (fractional anisotropy) and MD (mean diffusivity), quantifying micro-structural tiss…
Diffusion MRIOn a 'Two Truths' Phenomenon in Spectral Graph Clustering
Clustering is concerned with coherently grouping observations without any explicit concept of true groupings. Spectral graph clustering - clustering the vertices of a graph based on their spectral embedding - is commonly…
ClusteringDiffusion MRIGraph ClusteringSpectral Graph Clustering+1Spherical Harmonic Residual Network for Diffusion Signal Harmonization
Diffusion imaging is an important method in the field of neuroscience, as it is sensitive to changes within the tissue microstructure of the human brain. However, a major challenge when using MRI to derive quantitative m…
Diffusion MRIGlobal Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI
Sparse dictionary learning is a popular method for representing signals as linear combinations of a few elements from a dictionary that is learned from the data. In the classical setting, signals are represented as vecto…
DenoisingDictionary LearningDiffusion MRI