Results 221 to 230 of about 48,188 (262)
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IEEE Transactions on Medical Imaging, 2007
This paper presents a novel fuzzy-segmentation method for diffusion tensor (DT) and magnetic resonance (MR) images. Typical fuzzy-segmentation schemes, e.g., those based on fuzzy C means (FCM), incorporate Gaussian class models that are inherently biased towards ellipsoidal clusters characterized by a mean element and a covariance matrix.
Suyash P. Awate +2 more
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This paper presents a novel fuzzy-segmentation method for diffusion tensor (DT) and magnetic resonance (MR) images. Typical fuzzy-segmentation schemes, e.g., those based on fuzzy C means (FCM), incorporate Gaussian class models that are inherently biased towards ellipsoidal clusters characterized by a mean element and a covariance matrix.
Suyash P. Awate +2 more
openaire +3 more sources
Intraoperative Acquisition of fMRI and DTI
Neurosurgery Clinics of North America, 2011Multimodal functional navigation enables removing a tumor close to eloquent brain areas with low postoperative deficits, whereas additional intraoperative imaging ensures that the maximum extent of the resection can be achieved and updates the image data compensating for the effects of brain shift.
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Direction-Controlled DTI Interpolation
2015Diffusion Tensor Imaging (DTI) is a popular model for representing diffusion weighted magnetic resonance images due to its simplicity and the fact that it strikes a good balance between signal fit and robustness. Nevertheless, problematic issues remain. One of these concerns the problem of interpolation.
Florack, Luc +2 more
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Theoretical and Natural Science
The DTI technology used to observe the Nerve fascicle - “Nerve fascicle imaging” was also discussed in detail. Two types of deterministic and probabilistic traction imaging were compared from effectiveness and computational efficiency perspectives. Then an experimental study was conducted using different software to compare the fiber bundles of the ...
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The DTI technology used to observe the Nerve fascicle - “Nerve fascicle imaging” was also discussed in detail. Two types of deterministic and probabilistic traction imaging were compared from effectiveness and computational efficiency perspectives. Then an experimental study was conducted using different software to compare the fiber bundles of the ...
openaire +1 more source
Diffusion Tensor Imaging (DTI)
2018Diffusion Tensor Imaging is an MRI technique that allows in vivo noninvasive measurement of the translational motion of water, providing information about its anisotropy (or lack of it) in different tissues. DTI has been commonly used to quantitatively measure the integrity of tissues which may be compromised by neurological disease, such as white ...
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DTI-HETA: prediction of drug-target interactions based on GCN and GAT on heterogeneous graph.
Briefings in Bioinformatics, 2022Yuqi Wen, Song He, Zhongnan Zhang
exaly
Spectrum-sine interpolation framework for DTI processing
Medical and Biological Engineering and Computing, 2021Yuanjun Wang
exaly