CSATR 2014 - 1st International Symposium on Computational and Statistical Approaches to Tomographic Reconstruction
Topics/Call fo Papers
Organizer: Dr. Eman Khorsheed, Department of Mathematics, University of Bahrain, P. O. Box 32038, Kingdom of Bahrain, Tel: +973 17437574.
E-mail: ekhorsheed-AT-uob.edu.bh
Computational and statistical approaches have been widely used for image formation and reconstruction. The statistical methods can make use of the accurate physical models with real-life data taking into account the stochastic nature of noise; also they can enforce object constraints such as spatial continuity, temporal correlation and non-negativity. Tomography is a powerful reconstruction technique for producing cross-sectional images of the internal structure of an object, or more precisely, for estimating the distribution of a physical quantity of interest from a set of projection data using an appropriate computational technique such as Markov Chain Monte Carlo (MCMC). Some areas to which tomography has been applied are medical imaging, geophysics, oceanography, quantum states, and relatively recently to the ionosphere where estimates of the electron density are used in mapping the ionosphere.
This symposium aims to bring together statisticians, physicists, engineers, mathematicians and scientists working on new research ideas in the related fields.
Topics to be covered by the symposium include (but not limited to):
Computational statistics and software development
Statistical modeling
Statistical approaches to tomographic reconstruction
Bayesian Statistics including spatial, spatio temporal and hierarchical models
Image analysis and tomography: ionospheric tomography, quantum tomography, oceanography, geophysics, medical tomography, etc.
Solar-terrestrial remote sensing and imaging
E-mail: ekhorsheed-AT-uob.edu.bh
Computational and statistical approaches have been widely used for image formation and reconstruction. The statistical methods can make use of the accurate physical models with real-life data taking into account the stochastic nature of noise; also they can enforce object constraints such as spatial continuity, temporal correlation and non-negativity. Tomography is a powerful reconstruction technique for producing cross-sectional images of the internal structure of an object, or more precisely, for estimating the distribution of a physical quantity of interest from a set of projection data using an appropriate computational technique such as Markov Chain Monte Carlo (MCMC). Some areas to which tomography has been applied are medical imaging, geophysics, oceanography, quantum states, and relatively recently to the ionosphere where estimates of the electron density are used in mapping the ionosphere.
This symposium aims to bring together statisticians, physicists, engineers, mathematicians and scientists working on new research ideas in the related fields.
Topics to be covered by the symposium include (but not limited to):
Computational statistics and software development
Statistical modeling
Statistical approaches to tomographic reconstruction
Bayesian Statistics including spatial, spatio temporal and hierarchical models
Image analysis and tomography: ionospheric tomography, quantum tomography, oceanography, geophysics, medical tomography, etc.
Solar-terrestrial remote sensing and imaging
Other CFPs
- 2nd Symposium on Latest Advances in Inverse Problem and its Application to Science and Engineering
- The Third Symposium on Computer Science and Applied Mathematics (CSAM 2014)
- Third Symposium on Statistical Inference in Linear Models
- 3rd Symposium on Dynamics of Complex Systems and Networks: Modelling, Computational Analysis and Control
- Symposium on Computational Modeling and Experimental Assessment of Transport Processes in Building Materials and their Multi-Layered Systems
Last modified: 2013-11-10 13:48:58