A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Filters
Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors
[chapter]
2010
Lecture Notes in Computer Science
This paper presents a longitudinal change detection framework for detecting relevant modifications in diffusion MRI, with application to Multiple Sclerosis (MS). ...
These testing tools have been considered either for the comparison of tensor eigenvalues or eigenvectors, thus enabling to differentiate orientation and diffusivity changes. ...
These works rely either on statistical parametric testing, using the Generalized Likelihood Ratio Test (GLRT) [5] , or on non parametric testing, for instance permutation testing [6] . ...
doi:10.1007/978-3-642-15745-5_15
fatcat:3soujdlsh5dd3df6oh5sj2kvca
Motion Detection in Diffusion MRI via Online ODF Estimation
2013
International Journal of Biomedical Imaging
The performance of STAR is tested on simulated and real data and compared to the classical generalized likelihood ratio test. ...
Then, a method called STAR (STatistical Analysis of Residuals) is presented and applied to the online detection of motion in high angular resolution diffusion images. ...
Then, we present a solution to the detection of motion in diffusion images, adapted from the generalized likelihood ratio test (GLRT) [24] . ...
doi:10.1155/2013/849363
pmid:23509445
pmcid:PMC3594974
fatcat:f22dc2frqvh4bee6w4dmzm7o6m
Online motion detection in high angular resolution diffusion imaging
2011
2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
In addition, monitoring the residuals of the Kalman filter, we design, based on statistical tests, two algorithms for online detection of subject motion. ...
This online reconstruction can provide real-time feedback to the practitioner, especially appreciated for long acquisition protocols typical in Q-ball imaging. ...
Acknowledgements: Work was partly supported by the CD-MRI INRIA Associate Team program, NIH (grants R01 EB008432, P41 RR008079, P30 NS057091), and the University of Minnesota Institute for Translational ...
doi:10.1109/isbi.2011.5872458
dblp:conf/isbi/CaruyerALSD11
fatcat:pxsjacdmxvglrl2oaof2uirs44
Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways
[chapter]
2011
Lecture Notes in Computer Science
Diffusion tensor magnetic resonance imaging (DT-MRI) tractography allows to probe brain connections in vivo. ...
Two tests are implemented: a pointwise test that compares at each sampling point of the fiber bundle the tensor populations of the two exams in the cross section of the bundle and a fiberwise test that ...
The global test enables the identification of the fibers involved in the longitudinal evolution of the pathology, while the local strategy enables the detection of more subtle changes. ...
doi:10.1007/978-3-642-23629-7_1
fatcat:qp7u6pycgnhrhn2yh2axyzyl3m
Multimodal MRI as a diagnostic biomarker for amyotrophic lateral sclerosis
2014
Annals of Clinical and Translational Neurology
Specifically, we evaluated the added diagnostic utility of proton magnetic resonance spectroscopy (MRS) to diffusion tensor imaging (DTI). ...
The combined MRS and DTI data resulted in sensitivity of 0.93, specificity of 0.85, positive likelihood ratio of 6.20, and negative likelihood ratio of 0.08 whereas the DTI data only resulted in sensitivity ...
likelihood ratio was 2.87 and the negative likelihood ratio was 0.20. For Model 2, the positive likelihood ratio was 6.20 and the negative likelihood ratio was 0.08. ...
doi:10.1002/acn3.30
pmid:25356389
pmcid:PMC4212480
fatcat:6sruj74vunduvpcxlkzhjf5zau
Age-related changes in parahippocampal white matter integrity: A diffusion tensor imaging study
2012
Neuropsychologia
OLD, n = 21) individuals using volumetry, diffusion tensor imaging (DTI) and tractography. ...
The study characterized in vivo white matter changes in the parahippocampal region that includes the perforant pathway in cognitively healthy young (YNG, n = 21) compared to cognitively healthy older ( ...
Moseley, Ph.D. from Stanford University for supplying the pulse sequence used in the diffusion tensor imaging scans. ...
doi:10.1016/j.neuropsychologia.2012.03.033
pmid:22561887
pmcid:PMC3576131
fatcat:cyzec573wnfolpvgnirwvwtc3i
A Strain Energy Filter for 3D Vessel Enhancement
[chapter]
2010
Lecture Notes in Computer Science
To solve this problem, we present a shape-tuned strain energy density function to measure vessel likelihood in 3D medical images. ...
By considering the Hessian matrix as a stress tensor, the three invariants from orthogonal tensor decomposition are used independently or combined to formulate distinctive functions for vascular shape ...
Ennis and Kindlmann (2006) named these invariants the ''cylindrical invariant set", and used it for analysis and visualization of diffusion tensors in fMRI images. ...
doi:10.1007/978-3-642-15711-0_46
fatcat:nk2nl7t7vzg6zkavwfpnrghiba
Relevance of time-dependence for clinically viable diffusion imaging of the spinal cord
2018
Magnetic Resonance in Medicine
Synthetic data Conclusions: Time-dependence of clinically viable DW MRI metrics can be detected in vivo in spinal cord WM, thus providing new opportunities for the non-invasive estimation of microstructural ...
GRUSSU et al. | METHODS | In silico study We ran MC simulations in Camino 43 to characterise patterns of diffusion time-dependence for diffusion sensitisation perpendicular to the axon longitudinal axis ...
Matt Hall for useful discussion. ...
doi:10.1002/mrm.27463
pmid:30229564
fatcat:kkh4ysao75hz3ed5g3qbkfla5u
Global diffusion tensor imaging derived metrics differentiate glioblastoma multiforme vs. normal brains by using discriminant analysis: introduction of a novel whole-brain approach
2014
Radiology and Oncology
A global (whole-brain) calculation of diffusion tensor imaging (DTI) derived tensor metrics offers a valid method to detect the integrity of white matter structures without missing infiltrated brain areas ...
diffusion, pure anisotropic diffusion, the total magnitude of the diffusion tensor, linear tensor, planar tensor, spherical tensor, relative anisotropy, axial diffusivity and radial diffusivity. ...
. / Global diffusion tensor imaging in glioblastoma multiforme ...
doi:10.2478/raon-2014-0004
pmid:24991202
pmcid:PMC4078031
fatcat:arvgf5j2rvb3dablueq77skk3i
Investigating Cervical Spinal Cord Structure Using Axial Diffusion Tensor Imaging
2002
NeuroImage
This study describes a new technique for Diffusion Tensor Imaging (DTI) that acquires axial (transverse) images of the cervical spinal cord. ...
Because of the high sensitivity to motion of diffusion-weighted magnetic resonance imaging and the small size of the spinal cord, a fast imaging method with high in-plane resolution was developed. ...
The success of DTI in the brain is well established because of its capability for detecting structural pathological changes, which are not evident on the conventional images, even at a very early stage ...
doi:10.1006/nimg.2001.1022
pmid:11969321
fatcat:l33v3vaharclrjp4fve3nl26l4
Effect of the scaffold microenvironment on cell polarizability and capacitance determined by probabilistic computations
2018
Biomedical Materials
Polarizability governs the electric field generated by a cell, and determines the cell's ability to detect electric fields. ...
This tensor defines ellipsoids for arbitrary cell shapes and the thinnest dimension of these ellipsoids, P 1 , defines a reference minimal scale for cells cultured in a 3D microenvironment. ...
The authors acknowledge Charles Camp (NIST) for input on imaging, Nathan Hotaling (NIST) for input on statistics, Young Jong Lee (NIST) for assistance with plotting and Elissa Williams (NIST) for assistance ...
doi:10.1088/1748-605x/aa9650
pmid:29072579
pmcid:PMC5815922
fatcat:lifouxgt6beqlawdsjmgwdgbh4
Improved spatial regression analysis of diffusion tensor imaging for lesion detection during longitudinal progression of multiple sclerosis in individual subjects
2016
Physics in Medicine and Biology
detection of localized longitudinal diffusion changes within the whole brain at individual level without a priori hypotheses. ...
Spatial Regression Analysis of Diffusion tensor imaging (SPREAD) is a non-parametric permutation-based statistical framework that combines spatial regression and resampling techniques to achieve effective ...
Overview of anisotropic diffusion (AD) filter Nonlinear anisotropic diffusion filtering is a general scale-space approach for edgepreserving piecewise smoothing of the original image. ...
doi:10.1088/0031-9155/61/6/2497
pmid:26948513
pmcid:PMC5739591
fatcat:smambaqhxbh4dnrsiwhfzgy3ce
Diagnostic Accuracy of Diffusion Tensor Imaging in Amyotrophic Lateral Sclerosis
2013
Academic Radiology
Rationale and Objectives-There have been a large number of case-control studies using diffusion tensor imaging (DTI) in amyotrophic lateral sclerosis (ALS). The objective of this study ...
A promising biomarker for ALS is diffusion tensor imaging (DTI), an advanced magnetic resonance imaging (MRI) application. ...
Search keywords included: amyotrophic lateral sclerosis, Lou Gehrig's, magnetic resonance imaging, diagnostic imaging, diagnostic tests, diffusion tensor imaging, or fractional anisotropy. ...
doi:10.1016/j.acra.2013.03.017
pmid:23931423
pmcid:PMC4384461
fatcat:42ejetvovrgsdo3s6mevcpg44q
Multiscale adaptive generalized estimating equations for longitudinal neuroimaging data
2013
NeuroImage
The goal of this article is to develop a multiscale adaptive generalized estimation equation (MAGEE) method for spatial and adaptive analysis of neuroimaging data from longitudinal studies. ...
Specifically, conventional voxel-based analyses in these software platforms involve Gaussian smoothing imaging data and then independently fitting a statistical model at each voxel. ...
These diffusion tensor imaging studies also reveal the temporal non-linearity and spatial inhomogeneity of the apparent changes in diffusion tensor imaging parameters within brain (Mukherjee and McKinstry ...
doi:10.1016/j.neuroimage.2013.01.034
pmid:23357075
pmcid:PMC3621129
fatcat:ojek6srttnfr7m5rwio3satfue
Detection of Alzheimer's Disease using cortical diffusion tensor imaging
2020
Human Brain Mapping
The aim of this research was to test a novel in-vivo brain MRI analysis method that could be used in clinical cohorts to investigate cortical architecture changes in patients with Alzheimer's Disease ( ...
The first group was used as the "Discovery" cohort, the second as the "Test" cohort and the last "ATN" (Amyloid, Tau, Neurodegeneration) cohort was used to test the method in an ADNI 3 cohort, comparing ...
Interpreted the data; revised the manuscript for intellectual content. Alzheimer's Disease Neuroimaging Initiative (ADNI): Acquisition of data. ...
doi:10.1002/hbm.25271
pmid:33174658
pmcid:PMC7856641
fatcat:fa3bokvk6ve2tlnfi4klb57pbu
« Previous
Showing results 1 — 15 out of 6,282 results