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The reliability of online reviewers is a complex issue due to multiple dimensional and heterogeneous properties. In this paper, we propose a computational study of the rating pattern of reviewers. A reliability matrix is built between two data types which are the reviewer and the product. Two types of clusters can be extracted concurrently after a nonnegative tri-factorization of the reliability matrix...
In this paper, we present a novel set of features which mainly comprises Fourier descriptors to facilitate the classification of white matter (WM) fiber tracts reconstructed from diffusion tensor imaging (DTI) tractography. Particularly, Fourier descriptors composing the feature vectors are different frequency terms of the discrete Fourier transform of the Euclidean coordinates of the step points...
Automatic unsupervised clustering of white matter fiber tracts is necessary for the group analysis of brain neural network integrity using diffusion tensor imaging (DTI) and DTI tractography techniques. In this paper, we present an implementation of the expectation-maximization (EM) algorithm to conduct the automatic unsupervised clustering of reconstructed white matter fiber tracts in DTI. The statistical...
Aiming for achieving anatomically meaningful results in automatic unsupervised clustering of reconstructed white matter (WM) fiber tracts in Diffusion Tensor Imaging (DTI), we present a Bayesian approach enabling to incorporate prior anatomical knowledge and handle outliers easily. Particularly, the distribution of WM fiber tracts is described by a Gaussian mixture model. By applying the Bayesian...
Accurate and efficient white matter fiber tract segmentation is an important step in clinical and anatomical studies that use diffusion tensor magnetic resonance imaging (DTI) tractography techniques. In this work, we present a novel technique to group white matter fiber tracts reconstructed from DTI into bundles using Nonnegative Matrix Factorization (NMF) of the frequency-tract matrix. A fiber tract...
Reliable shape modeling and clustering of white matter fiber tracts is essential for clinical and anatomical studies that use diffusion tensor imaging (DTI) tractography techniques. In this work we present a novel scheme to model the shape of white matter fiber tracts reconstructed from DTI and cluster them into bundles using Fourier descriptors. We characterize a tract's shape by using Fourier descriptors...
We present a new analysis scheme to measure regional micro structural white matter (WM) changes along the major cingulum fiber bundles which may not be effectively performed by existing methods due to its curved geospatial feature. The primary advantages of the technique lie in the diffusion tensor imaging tractography and geodesic distance mapping. The volumetric major cingulum is represented by...
Diffusion tensor magnetic resonance imaging (DTI) can resolve white matter fiber orientations within voxels in which the diffusion is characterized by Gaussian diffusion process. High angular resolution diffusion imaging (HARDI) adds the capability of describing the apparent diffusion coefficient (ADC) profile of voxels that contain kissing, branching and crossing fiber configurations. We present...
The reciprocal connectivity between the cerebral cortex and the thalamus in a human brain is involved in consciousness and related to various brain disorders, thus, in-vivo analysis of this connectivity is critically important for brain diagnosis and surgery planning. While existing work either focuses on fiber tracking analysis or on thalamic nuclei segmentation, to our best knowledge, no techniques...
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