Papers Diffusion MRI
“Diffusion MRI” 태그가 달린 논문 213편 · 필터 해제
HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI
In this work we propose HAMLET, a novel tract learning algorithm, which, after training, maps raw diffusion weighted MRI directly onto an image which simultaneously indicates tract direction and tract presence. The autom…
Data AugmentationDiffusion MRItensor algebraTranslationTract 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…
ClusteringDecoderDiffusion MRIMeasures of Tractography Convergence
In the present work, we use information theory to understand the empirical convergence rate of tractography, a widely-used approach to reconstruct anatomical fiber pathways in the living brain. Based on diffusion MRI dat…
Diffusion MRIq-Space Novelty Detection with Variational Autoencoders
In machine learning, novelty detection is the task of identifying novel unseen data. During training, only samples from the normal class are available. Test samples are classified as normal or abnormal by assignment of a…
Diffusion MRINovelty DetectionAutomatic, fast and robust characterization of noise distributions for diffusion MRI
Knowledge of the noise distribution in magnitude diffusion MRI images is the centerpiece to quantify uncertainties arising from the acquisition process. The use of parallel imaging methods, the number of receiver coils a…
Diffusion MRINoise EstimationSpatial Coherence of Oriented White Matter Microstructure: Applications to White Matter Regions Associated with Genetic Similarity
We present a method to discover differences between populations with respect to the spatial coherence of their oriented white matter microstructure in arbitrarily shaped white matter regions. This method is applied to di…
Diffusion MRIA Deep Unsupervised Learning Approach Toward MTBI Identification Using Diffusion MRI
Mild traumatic brain injury is a growing public health problem with an estimated incidence of over 1.7 million people annually in US. Diagnosis is based on clinical history and symptoms, and accurate, concrete measures o…
Diffusion MRIFast Fiber Orientation Estimation in Diffusion MRI from kq-Space Sampling and Anatomical Priors
High spatio-angular resolution diffusion MRI (dMRI) has been shown to provide accurate identification of complex neuronal fiber configurations, albeit, at the cost of long acquisition times. We propose a method to recove…
Diffusion MRIAltered structural connectivity of the left visual thalamus in developmental dyslexia
Developmental dyslexia is characterized by persistent reading and spelling deficits. Partly due to technical challenges with investigating subcortical sensory structures, current research on dyslexia in humans by-and-lar…
Diffusion MRIMulti-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI
So far, fingerprinting studies have focused on identifying features from single-modality MRI data, which capture individual characteristics in terms of brain structure, function, or white matter microstructure. However, …
Diffusion MRITwo-sample Statistics Based on Anisotropic Kernels
The paper introduces a new kernel-based Maximum Mean Discrepancy (MMD) statistic for measuring the distance between two distributions given finitely-many multivariate samples. When the distributions are locally low-dimen…
Diffusion MRIVocal Bursts Valence PredictionNODDI-SH: a computational efficient NODDI extension for fODF estimation in diffusion MRI
Diffusion Magnetic Resonance Imaging (DMRI) is the only non-invasive imaging technique which is able to detect the principal directions of water diffusion as well as neurites density in the human brain. Exploiting the ab…
BenchmarkingDiffusion MRIA Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling
While diffusion MRI has been extremely promising in the study of MTBI, identifying patients with recent MTBI remains a challenge. The literature is mixed with regard to localizing injury in these patients, however, gray …
BIG-bench Machine LearningDiffusion MRIComparison of Distances for Supervised Segmentation of White Matter Tractography
Tractograms are mathematical representations of the main paths of axons within the white matter of the brain, from diffusion MRI data. Such representations are in the form of polylines, called streamlines, and one stream…
Diffusion MRISegmentationEvaluating 35 Methods to Generate Structural Connectomes Using Pairwise Classification
There is no consensus on how to construct structural brain networks from diffusion MRI. How variations in pre-processing steps affect network reliability and its ability to distinguish subjects remains opaque. In this wo…
ClassificationDiffusion MRIGeneral ClassificationDirector Field Analysis (DFA): Exploring Local White Matter Geometric Structure in diffusion MRI
In Diffusion Tensor Imaging (DTI) or High Angular Resolution Diffusion Imaging (HARDI), a tensor field or a spherical function field (e.g., an orientation distribution function field), can be estimated from measured diff…
Diffusion MRIAn Optimal Dimensionality Multi-shell Sampling Scheme with Accurate and Efficient Transforms for Diffusion MRI
This paper proposes a multi-shell sampling scheme and corresponding transforms for the accurate reconstruction of the diffusion signal in diffusion MRI by expansion in the spherical polar Fourier (SPF) basis. The samplin…
Diffusion MRIIncorporation of prior knowledge of the signal behavior into the reconstruction to accelerate the acquisition of MR diffusion data
Diffusion MRI measurements using hyperpolarized gases are generally acquired during patient breath hold, which yields a compromise between achievable image resolution, lung coverage and number of b-values. In this work, …
compressed sensingDiffusion MRIJoint Spatial-Angular Sparse Coding for dMRI with Separable Dictionaries
Diffusion MRI (dMRI) provides the ability to reconstruct neuronal fibers in the brain, $\textit{in vivo}$, by measuring water diffusion along angular gradient directions in q-space. High angular resolution diffusion imag…
compressed sensingDiffusion MRIMachine Learning on Human Connectome Data from MRI
Functional MRI (fMRI) and diffusion MRI (dMRI) are non-invasive imaging modalities that allow in-vivo analysis of a patient's brain network (known as a connectome). Use of these technologies has enabled faster and better…
BIG-bench Machine LearningDiffusion MRIfeature selection