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Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors [chapter]

Antoine Grigis, Vincent Noblet, Félix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach
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

Emmanuel Caruyer, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Rachid Deriche
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

Emmanuel Caruyer, Iman Aganj, Christophe Lenglet, Guillermo Sapiro, Rachid Deriche
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]

Antoine Grigis, Vincent Noblet, Fréderic Blanc, Fabrice Heitz, Jérome de Seze, Jean-Paul Armspach
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

Bradley R. Foerster, Ruth C. Carlos, Ben A. Dwamena, Brian C. Callaghan, Myria Petrou, Richard A. E. Edden, Mona A. Mohamed, Robert C. Welsh, Peter B. Barker, Eva L. Feldman, Martin G. Pomper
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

E. Rogalski, G.T. Stebbins, C.A. Barnes, C.M. Murphy, T.R. Stoub, S. George, C. Ferrari, R.C. Shah, L. deToledo-Morrell
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]

Changyan Xiao, Marius Staring, Denis Shamonin, Johan H. C. Reiber, Jan Stolk, Berend C. Stoel
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

Francesco Grussu, Andrada Ianuş, Carmen Tur, Ferran Prados, Torben Schneider, Enrico Kaden, Sébastien Ourselin, Ivana Drobnjak, Hui Zhang, Daniel C. Alexander, Claudia A. M. Gandini Wheeler-Kingshott
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

Ernesto Roldan-Valadez, Camilo Rios, David Cortez-Conradis, Rafael Favila, Sergio Moreno-Jimenez
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

Claudia A.M. Wheeler-Kingshott, Simon J. Hickman, Geoffrey J.M. Parker, Olga Ciccarelli, Mark R. Symms, David H. Miller, Gareth J. Barker
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

Beatriz A Pazmino Betancourt, Stephen J Florczyk, Mylene Simon, Derek Juba, Jack F Douglas, Walid Keyrouz, Peter Bajcsy, Christopher Lee, Carl G Simon
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

Bilan Liu, Xing Qiu, Tong Zhu, Wei Tian, Rui Hu, Sven Ekholm, Giovanni Schifitto, Jianhui Zhong
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

Bradley R. Foerster, Ben A. Dwamena, Myria Petrou, Ruth C. Carlos, Brian C. Callaghan, Cristina L. Churchill, Mona A. Mohamed, Claudia Bartels, Michael Benatar, Laura Bonzano, Olga Ciccarelli, Mirco Cosottini (+13 others)
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

Yimei Li, John H. Gilmore, Dinggang Shen, Martin Styner, Weili Lin, Hongtu Zhu
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

Mario Torso, Marco Bozzali, Giovanna Zamboni, Mark Jenkinson, Steven A. Chance, for the Alzheimers Disease Neuroimage Initiative
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
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