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Fiber tracking in Q-ball fields using regularized particle trajectories

by M. Perrin, C. Poupon, Y. Cointepas, B. Rieul, N. Golestani, C. Pallier, D. Rivière, A. Constantinesco, D. Le Bihan, J. -f. Mangin, Chu Hautepierre Strasbourg - Proc. of IPMI , 2005
"... particle trajectories ..."
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particle trajectories

Regularized probabilistic tracking with Q-ball fields

by M Perrin, Y Cointepas, C. Poupon, B. Rieul, N. Golestani, C. Pallier, D. Rivière, A. Constantinesco, J. -f. Mangin Cea/shfj, Chu Hautepierre, Inserm U
"... Most of the approaches dedicated to fiber tracking use tensor model. This poor approximation of the diffusion process leads to spurious tracking at crossing bundle location. Here we describe an alternative strategy using Qball Model [1] and Monte Carlo sampling. Algorithm description: Water molecule ..."
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Most of the approaches dedicated to fiber tracking use tensor model. This poor approximation of the diffusion process leads to spurious tracking at crossing bundle location. Here we describe an alternative strategy using Qball Model [1] and Monte Carlo sampling. Algorithm description: Water

doi:10.1155/2008/368406 Research Article Connectivity-Based Parcellation of the Cortical Mantle Using q-Ball Diffusion Imaging

by Muriel Perrin, Yann Cointepas, Arnaud Cachia, Cyril Poupon, Denis Rivière, Pascal Cathier, Vincent El Kouby, André Constantinesco, Denis Le Bihan, Jean-françois Mangin
"... This paper exploits the idea that each individual brain region has a specific connection profile to create parcellations of the cortical mantle using MR diffusion imaging. The parcellation is performed in two steps. First, the cortical mantle is split at a macroscopic level into 36 large gyri using ..."
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a sulcus recognition system. Then, for each voxel of the cortex, a connection profile is computed using a probabilistic tractography framework. The tractography is performed from q-ball fields using regularized particle trajectories. Fiber ODF are inferred from the q-balls using a sharpening process

3D Particle Track Reconstrution in a Single Layer Cadmium-Telluride Hybrid Active Pixel Detector

by Mykhaylo Filipenko, Thomas Gleixner, Gisela Anton, Thilo Michel , 2014
"... In the past 20 years the search for neutrinoless double beta decay has driven many developements in all kind of detector technology. A new branch in this field are highly-pixelated semiconductor detectors- such as the CdTe-Timepix detectors. It compromises a cadmium-telluride sensor of 14 mm x 14 mm ..."
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mm x 1 mm size with an ASIC which has 256 x 256 pixel of 55 µm pixel pitch and can be used to obtain either spectroscopic or timing information in every pixel. In regular operation it can provide a 2D projection of particle trajectories; however, three dimensional trajectories are desirable

SIMULATION, DEVELOPMENT AND DEPLOYMENT OF MOBILE WIRELESS SENSOR NETWORKS FOR MIGRATORY BIRD TRACKING

by Bird Tracking, William P. Bennett, William P., Development, Deployment Of, Mobile Wireless Sensor, William P. Bennett, William P. Bennett, Adviser Mehmet, C. Vuran , 2012
"... This thesis presents CraneTracker, a multi-modal sensing and communication system for monitoring migratory species at the continental level. By exploiting the robust and extensive cellular infrastructure across the continent, traditional mobile wireless sensor networks can be extended to enable reli ..."
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reliable, low-cost monitoring of migratory species. The developed multi-tier architecture yields ecologists with unconventional behavior in-formation not furnished by alternative tracking systems at such a large scale and for a low-cost. The simulation, development and implementation of the Crane

Brain Nerve Bundles Estimation by Restoring and Filtering Intra-Voxel Information In Diffusion Tensor MRI

by Alonso Ramirez-Manzanares, Mariano Rivera, Centro Investigacion, Matematicas A. C - in Diffusion Tensor MRI, Procc. 2 IEEE Workshop on VLSM’03, 73-80, Oct 11-12 , 2003
"... We present a regularized method for solving an inverse problem in Diffusion Tensor Magnetic Resonance Imaging (DT-- MRI) data. In the case of brain images, DT--MR obtains a tensor field that indicates the local orientation of nerve bundles. Now days, the spatial resolution of this technique is limit ..."
Abstract - Cited by 8 (3 self) - Add to MetaCart
of nerve bundles orientation. Such regularization process performs an anisotropic filtering of the coefficients. As a result, we recover a multi--tensor field. Moreover, we propose to estimate the nerve bundles trajectory by performing stochastic walks of particles in the computed multi--tensor field

IMECE2008-69272 High Speed Micro Holographic PIV Measurements of Microorganisms

by M Zarzecki , F J Diez Rutgers
"... ABSTRACT Holographic particle image velocimetry (PIV) is a novel application of holography that allows for tracking of small particle sized objects in a small volume. Whereas regular PIV allows for the two in-plane components of the velocity field to be measured, and stereoscopic PIV allows for the ..."
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ABSTRACT Holographic particle image velocimetry (PIV) is a novel application of holography that allows for tracking of small particle sized objects in a small volume. Whereas regular PIV allows for the two in-plane components of the velocity field to be measured, and stereoscopic PIV allows

DOI: 10.1140/epjst/e2012-01529-y THE EUROPEAN PHYSICAL JOURNAL SPECIAL TOPICS Review Active Brownian Particles From Individual to Collective Stochastic Dynamics

by P. Romanczuk, W. Ebeling, B. Lindner , 2012
"... Abstract. We review theoretical models of individual motility as well as collective dynamics and pattern formation of active particles. We focus on simple models of active dynamics with a particular emphasis on nonlinear and stochastic dynamics of such self-propelled entities in the framework of sta ..."
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Abstract. We review theoretical models of individual motility as well as collective dynamics and pattern formation of active particles. We focus on simple models of active dynamics with a particular emphasis on nonlinear and stochastic dynamics of such self-propelled entities in the framework

:1

by Martin Reuter, Frank Saueressig
"... ar ..."
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The End of Time?

by unknown authors
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