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DT-MRI Images : Estimation, Regularization, and Application [chapter]

D. Tschumperlé, R. Deriche
2003 Lecture Notes in Computer Science  
We address two crucial issues encountered for this process : diffusion tensor estimation and regularization.  ...  Diffusion-Tensor MRI is a technique allowing the measurement of the water molecule motion in the tissues fibers, by the mean of rendering multiple MRI images under different oriented magnetic fields.  ...  Papadopoulo (Odyssée/INRIA) for providing us with the data and for fruitful discussions.  ... 
doi:10.1007/978-3-540-45210-2_48 fatcat:bg65xqexufh4fbapw5z2v5uice

DT-MRI denoising and neuronal fiber tracking

T. McGraw, B.C. Vemuri, Y. Chen, M. Rao, T. Mareci
2004 Medical Image Analysis  
Diffusion tensor imaging can provide the fundamental information required for viewing structural connectivity.  ...  However, robust and accurate acquisition and processing algorithms are needed to accurately map the nerve connectivity.  ...  DT-MRI image restoration We will consider the case of measurements with relatively high SNR.  ... 
doi:10.1016/ pmid:15063860 fatcat:f55moj2dn5hs3hjehz6aes2oqy

Anisotropic Interpolation of DT-MRI [chapter]

Carlos A. Castaño-Moraga, Miguel A. Rodriguez-Florido, Luis Alvarez, Carl-Fredrik Westin, Juan Ruiz-Alzola
2004 Lecture Notes in Computer Science  
Diffusion tensor MRI (DT-MRI) is an image modality that is gaining clinical importance.  ...  Results on resampling (zooming) synthetic and clinical DT-MRI data are used to illustrate the technique.  ...  -38008-C02-01, and the US grants NIH P41-RR13218 and CIMIT.  ... 
doi:10.1007/978-3-540-30135-6_42 fatcat:mv6i4iwrtjdwfnbfd2opzu43pq

DT-MRI Fiber Tracking: A Shortest Paths Approach

A. Zalesky
2008 IEEE Transactions on Medical Imaging  
We demonstrate the ability to precisely reconstruct a diverse range of fiber trajectories in authentic and computer-generated DT-MRI data, for which well-known conventional tracking algorithms are shown  ...  We derive a new fiber tracking algorithm for DT-MRI that parts with the locally "greedy" paradigm intrinsic to conventional tracking algorithms.  ...  INTRODUCTION D IFFUSION tensor magnetic resonance imaging (DT-MRI) [5] , [25] is the first noninvasive in vivo imaging modality touting the potential to track the trajectories of fiber tracts in aqueous  ... 
doi:10.1109/tmi.2008.923644 pmid:18815098 fatcat:q4r24l2phrhfjhh55anaqyhizq

Riemannian Graph Diffusion for DT-MRI Regularization [chapter]

Fan Zhang, Edwin R. Hancock
2006 Lecture Notes in Computer Science  
A new method for diffusion tensor MRI (DT-MRI) regularization is presented that relies on graph diffusion.  ...  We represent a DT image using a weighted graph, where the weights of edges are functions of the geodesic distances between tensors.  ...  DT-MRI regularization is effected by computing the Riemannian weighted mean using the heat kernel as its weights.  ... 
doi:10.1007/11866763_29 fatcat:43dsma5b2vf6zim77y5t4ksr2m

Clinical DT-MRI Estimation, Smoothing, and Fiber Tracking With Log-Euclidean Metrics

P. Fillard, X. Pennec, V. Arsigny, N. Ayache
2007 IEEE Transactions on Medical Imaging  
Diffusion tensor MRI (DT-MRI or DTI ) is an imaging modality that is gaining importance in clinical applications.  ...  We propose a new variational framework to improve the estimation of DT-MRI in this clinical context.  ...  INTRODUCTION Diffusion tensor MRI (DT-MRI or DTI) [1] is a unique tool to assess in vivo oriented structures within tissues via the measure of water diffusion.  ... 
doi:10.1109/tmi.2007.899173 pmid:18041263 fatcat:7sjsulop7ve23cq7mm5hayn2se

Variational frameworks for DT-MRI estimation, regularization and visualization

Tschumperle, Deriche
2003 Proceedings Ninth IEEE International Conference on Computer Vision  
We address three crucial issues encountered in DT-MRI (Diffusion Tensor Magnetic Resonance Imaging) : diffusion tensor Estimation, Regularization and fiber bundle Visualization.  ...  We illustrate how our complete DT-MRI processing pipeline can be successfully used to construct and draw fiber bundles in the white matter of the brain, from a set of noisy raw MRI images.  ...  Applications We applied our three proposed algorithms for DT-MRI processing with synthetic and real data (of the white matter of the brain).  ... 
doi:10.1109/iccv.2003.1238323 dblp:conf/iccv/TschumperleD03 fatcat:zjwyzjika5c53gy62inr3iebci

Uncertainty Propagation in DT-MRI Anisotropy Isosurface Extraction [chapter]

Kai Pöthkow, Hans-Christian Hege
2012 Mathematics and Visualization  
We use the numerical condition to estimate the uncertainty propagation from the DT's eigenvalues via fractional (FA) and relative anisotropy (RA) to the position and shape of isosurfaces.  ...  The superiority of FA to RA in terms of uncertainty propagation that was shown for anisotropy images in the literature does not hold for isosurfaces extracted from these images.  ...  Diffusion tensor fields are computed from diffusion weighed MR images and usually defined on some regular grid.  ... 
doi:10.1007/978-3-642-27343-8_11 fatcat:kgbmsfcdbnhhledxjgwl6236om

In vivo fiber tractography using DT-MRI data

Peter J. Basser, Sinisa Pajevic, Carlo Pierpaoli, Jeffrey Duda, Akram Aldroubi
2000 Magnetic Resonance in Medicine  
Fiber tract trajectories in coherently organized brain white matter pathways were computed from in vivo diffusion tensor magnetic resonance imaging (DT-MRI) data.  ...  This approach was validated using synthesized, noisy DT-MRI data. Corpus callosum and pyramidal tract trajectories were constructed and found to be consistent with known anatomy.  ...  and inherent limitations of fiber tract following schemes that employ DT-MRI data; and 5) describe potential applications of DT-MRI fiber tractography.  ... 
doi:10.1002/1522-2594(200010)44:4<625::aid-mrm17>;2-o pmid:11025519 fatcat:io5lsqcluzfg3djeog6wumikc4

Stochastic DT-MRI Connectivity Mapping on the GPU

Tim McGraw, Mariappan Nadar
2007 IEEE Transactions on Visualization and Computer Graphics  
We present a method for stochastic fiber tract mapping from diffusion tensor MRI (DT-MRI) implemented on graphics hardware.  ...  A Bayesian formulation of the fiber model is given and it is shown that the inversion method can be used to construct plausible connectivity.  ...  Keck Laboratory for Functional Brain Imaging and Behavior, University of Wisconsin-Madison.  ... 
doi:10.1109/tvcg.2007.70597 pmid:17968103 fatcat:5lq2zt6pifcxnnczv6tpiix2ty

Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery

Neculai Archip, Olivier Clatz, Stephen Whalen, Dan Kacher, Andriy Fedorov, Andriy Kot, Nikos Chrisochoides, Ferenc Jolesz, Alexandra Golby, Peter M. Black, Simon K. Warfield
2007 NeuroImage  
Functional MRI and DT-MRI, together with MPRAGE and T2w structural MRI were acquired at 3 T prior to surgery. SPGR and T2w images were acquired with a 0.5 T magnet during each procedure.  ...  ., Non-rigid alignment of pre-operative MRI, fMRI, and DT-MRI with intra-operative MRI for enhanced visualization and navigation in image-guided neurosurgery, NeuroImage (2007) ,  ...  , and Virginia's Commonwealth Technology Research Fund.  ... 
doi:10.1016/j.neuroimage.2006.11.060 pmid:17289403 pmcid:PMC3358788 fatcat:p3ks7grs7vfjten7qbr5lgqmiu

Rician Noise Removal by Non-Local Means Filtering for Low Signal-to-Noise Ratio MRI: Applications to DT-MRI [chapter]

Nicolas Wiest-Daesslé, Sylvain Prima, Pierrick Coupé, Sean Patrick Morrissey, Christian Barillot
2008 Lecture Notes in Computer Science  
Validation is performed on synthetic data and on real data for both conventional MR images and DT images.  ...  Diffusion-Weighted MRI (DW-MRI) is subject to random noise yielding measures that are different from their real values, and thus biasing the subsequently estimated tensors.  ...  Two other attempts have been made to account for the Rician noise to estimate the DT image [12] or to regularize the DW data [13] .  ... 
doi:10.1007/978-3-540-85990-1_21 fatcat:veccsq54n5ba5pisbgi4oggds4

Coloring of DT-MRI Fiber Traces Using Laplacian Eigenmaps [chapter]

Anders Brun, Hae-Jeong Park, Hans Knutsson, Carl-Fredrik Westin
2003 Lecture Notes in Computer Science  
We propose a novel post processing method for visualization of fiber traces from DT-MRI data.  ...  Moreno-Díaz and F. Pichler (Eds.): EUROCAST  ...  This work was funded in part by NIH grants P41-RR13218 and R01 MH 50747, and CIMIT.  ... 
doi:10.1007/978-3-540-45210-2_47 fatcat:v6k7oku74nfzhh4lqytdeouq6a

Fast and Accurate Connectivity Analysis Between Functional Regions Based on DT-MRI [chapter]

Dorit Merhof, Mirco Richter, Frank Enders, Peter Hastreiter, Oliver Ganslandt, Michael Buchfelder, Christopher Nimsky, Günther Greiner
2006 Lecture Notes in Computer Science  
Diffusion tensor and functional MRI data provide insight into function and structure of the human brain.  ...  The clinical relevance is demonstrated by reconstructed connections between motor and sensory speech areas in patients with lesions located in between.  ...  Introduction In recent years, medical imaging techniques such as diffusion tensor imaging (DTI) and functional MRI (fMRI) have emerged enabling the exploration of function and structure of the human brain  ... 
doi:10.1007/11866763_28 fatcat:ldvyc6khijelbhhu62ae2akeoa

The effect of filter size on VBM analyses of DT-MRI data

2005 NeuroImage  
Voxel-based morphometry (VBM) has been used to analyze diffusion tensor MRI (DT-MRI) data in a number of studies.  ...  However, the size of the smoothing filter used for VBM of DT-MRI data is highly variable across studies.  ...  A Simmons (Institute of Psychiatry), and Dr. MA Horsfield (University of Leicester). We would like to thank the anonymous referees for their careful review of this work.  ... 
doi:10.1016/j.neuroimage.2005.02.013 pmid:15907311 fatcat:o2rj2swvkrftliremmqt3byqxi
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