Probabilistic white matter fiber tracking using particle filtering and von Mises-Fisher sampling
暂无分享,去创建一个
Guido Gerig | Fan Zhang | Edwin R. Hancock | Casey Goodlett | G. Gerig | E. Hancock | C. Goodlett | Fan Zhang
[1] Donald Geman,et al. An Active Testing Model for Tracking Roads in Satellite Images , 1996, IEEE Trans. Pattern Anal. Mach. Intell..
[2] Ross T. Whitaker,et al. A Volumetric Approach to Quantifying Region-to-Region White Matter Connectivity in Diffusion Tensor MRI , 2007, IPMI.
[3] Patrick Pérez,et al. JetStream: probabilistic contour extraction with particles , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[4] P. V. van Zijl,et al. Three‐dimensional tracking of axonal projections in the brain by magnetic resonance imaging , 1999, Annals of neurology.
[5] A. Wood. Simulation of the von mises fisher distribution , 1994 .
[6] Jun S. Liu,et al. Metropolized independent sampling with comparisons to rejection sampling and importance sampling , 1996, Stat. Comput..
[7] P. Basser,et al. In vivo fiber tractography using DT‐MRI data , 2000, Magnetic resonance in medicine.
[8] Rong Chen,et al. A Theoretical Framework for Sequential Importance Sampling with Resampling , 2001, Sequential Monte Carlo Methods in Practice.
[9] James S. Duncan,et al. Medical Image Analysis , 1999, IEEE Pulse.
[10] Gareth J. Barker,et al. Estimating distributed anatomical connectivity using fast marching methods and diffusion tensor imaging , 2002, IEEE Transactions on Medical Imaging.
[11] Timothy Edward John Behrens,et al. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging , 2003, Magnetic resonance in medicine.
[12] N. Gordon,et al. Novel approach to nonlinear/non-Gaussian Bayesian state estimation , 1993 .
[13] Daniel C. Alexander,et al. Probabilistic Monte Carlo Based Mapping of Cerebral Connections Utilising Whole-Brain Crossing Fibre Information , 2003, IPMI.
[14] Alan Connelly,et al. Direct estimation of the fiber orientation density function from diffusion-weighted MRI data using spherical deconvolution , 2004, NeuroImage.
[15] A. Macovski. Noise in MRI , 1996, Magnetic resonance in medicine.
[16] Carl-Fredrik Westin,et al. A Hamilton-Jacobi-Bellman Approach to High Angular Resolution Diffusion Tractography , 2005, MICCAI.
[17] Peter Boesiger,et al. Resolving fiber crossing using advanced fast marching tractography based on diffusion tensor imaging , 2006, NeuroImage.
[18] Carl-Fredrik Westin,et al. A Bayesian approach for stochastic white matter tractography , 2006, IEEE Transactions on Medical Imaging.
[19] N. Makris,et al. High angular resolution diffusion imaging reveals intravoxel white matter fiber heterogeneity , 2002, Magnetic resonance in medicine.
[20] Carl-Fredrik Westin,et al. Regularized Stochastic White Matter Tractography Using Diffusion Tensor MRI , 2002, MICCAI.
[21] S. R. Jammalamadaka,et al. Directional Statistics, I , 2011 .
[22] Carl-Fredrik Westin,et al. Processing and visualization for diffusion tensor MRI , 2002, Medical Image Anal..
[23] Mark W. Woolrich,et al. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? , 2007, NeuroImage.
[24] Daniel C Alexander,et al. Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[25] Geoffrey J M Parker,et al. A framework for a streamline‐based probabilistic index of connectivity (PICo) using a structural interpretation of MRI diffusion measurements , 2003, Journal of magnetic resonance imaging : JMRI.
[26] Michael Isard,et al. CONDENSATION—Conditional Density Propagation for Visual Tracking , 1998, International Journal of Computer Vision.
[27] L. M. Auer,et al. Fiber Tracking from DTI Using Linear State Space Models: Detectability of the Pyramidal Tract , 2002, NeuroImage.
[28] Nando de Freitas,et al. Sequential Monte Carlo Methods in Practice , 2001, Statistics for Engineering and Information Science.
[29] Timothy J. Robinson,et al. Sequential Monte Carlo Methods in Practice , 2003 .
[30] Susumu Mori,et al. Fiber tracking: principles and strategies – a technical review , 2002, NMR in biomedicine.
[31] Leonid Zhukov,et al. Oriented tensor reconstruction: tracing neural pathways from diffusion tensor MRI , 2002, IEEE Visualization, 2002. VIS 2002..
[32] Philip A. Cook,et al. Modelling noise-induced fibre-orientation error in diffusion-tensor MRI , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).
[33] L. Frank. Anisotropy in high angular resolution diffusion‐weighted MRI , 2001, Magnetic resonance in medicine.
[34] P. Basser,et al. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI. , 1996, Journal of magnetic resonance. Series B.
[35] A. Anderson. Measurement of fiber orientation distributions using high angular resolution diffusion imaging , 2005, Magnetic resonance in medicine.
[36] P. Basser,et al. MR diffusion tensor spectroscopy and imaging. , 1994, Biophysical journal.
[37] Andrew L. Alexander,et al. Bootstrap white matter tractography (BOOT-TRAC) , 2005, NeuroImage.
[38] Simon J. Godsill,et al. On sequential Monte Carlo sampling methods for Bayesian filtering , 2000, Stat. Comput..
[39] Daniel C. Alexander,et al. An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond , 2006, Visualization and Processing of Tensor Fields.
[40] D. Tuch. Q‐ball imaging , 2004, Magnetic resonance in medicine.
[41] Ron Kikinis,et al. White Matter Tractography Using Sequential Importance Sampling , 2002 .
[42] Gary Ulrich,et al. Computer Generation of Distributions on the M‐Sphere , 1984 .
[43] Derek K. Jones,et al. Determining and visualizing uncertainty in estimates of fiber orientation from diffusion tensor MRI , 2003, Magnetic resonance in medicine.
[44] Carl-Fredrik Westin,et al. Hyperspherical von Mises-Fisher Mixture (HvMF) Modelling of High Angular Resolution Diffusion MRI , 2007, MICCAI.
[45] A. Alexander,et al. White matter tractography using diffusion tensor deflection , 2003, Human brain mapping.
[46] Guido Gerig,et al. Probabilistic Fiber Tracking Using Particle Filtering , 2007, MICCAI.
[47] D. Parker,et al. Analysis of partial volume effects in diffusion‐tensor MRI , 2001, Magnetic resonance in medicine.
[48] Geoffrey W. Hill,et al. Algorithm 571: Statistics for von Mises' and Fisher's Distributions of Directions: I1(x) /I0 (x), I 1.5(x)/ I0.5(x)and Their Inverses [S14] , 1981, TOMS.
[49] Rachid Deriche,et al. Control Theory and Fast Marching Techniques for Brain Connectivity Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[50] G J M Parker,et al. Analysis of MR diffusion weighted images. , 2004, The British journal of radiology.
[51] Baba C. Vemuri,et al. Segmentation of High Angular Resolution Diffusion MRI Modeled as a Field of von Mises-Fisher Mixtures , 2006, ECCV.
[52] E. Bullmore,et al. Formal characterization and extension of the linearized diffusion tensor model , 2005, Human brain mapping.