JSM Activity #58

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Activity ID:  58
Title
* ! Adaptive Statistical Methods in Imaging
Date / Time / Room Sponsor Type
08/12/2002
8:30 AM - 10:20 AM
Room: S-New York Ballroom B 		Biometrics Section*, ENAR, Section on Bayesian Stat. Sciences*, Section on Physical & Engineering Sciences*, Section on Statistical Computing*, Section on Statistical Graphics* Invited
Organizer: Joerg Polzehl, Weierstrass Institute for Applied Analysis and Stochastics
Chair: Sylvain Sardy, Swiss Federal Institute of Technology
Discussant:  
Floor Discussion 10:05 AM
Description

Statistical image processing methods are used in a variety of fields, including computer tomography, Magnet Resonance Imaging, satellite imaging, and geology. Recent developments include adaptive and multi-resolution procedures that give a better description of the local properties of the image. Speakers describe approaches based on structural adaptation, inhomogeneous Bayesian priors, and Bayesian multiresolution reconstruction using wavelet priors, all using applications from medical imaging.
  300295  By:  Charles A. Bouman 8:35 AM 08/12/2002
Adaptive Wavelet Graph Model for Bayesian Tomographic Reconstruction

  300248  By:  Joerg  Polzehl 9:05 AM 08/12/2002
Structural Adaptation Methods in Imaging

  300249  By:  Robert G. Aykroyd 9:35 AM 08/12/2002
Bayesian Adaptive Smoothing for Image Reconstruction

JSM 2002

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Revised March 2002