NDLI: Bayesian approach with hierarchical Markov modeling for data fusion in image reconstruction applications

Content Provider	IEEE Xplore Digital Library
Author	Mohammad-Djafari, A.
Copyright Year	2002
Description	Author affiliation: Lab. des Signaux et Syst., Ecole Superieure d'Electr., Gif-sur-Yvette, France (Mohammad-Djafari, A.)
Abstract	In many image reconstruction applications, more and more, we need techniques to combine different kind of data. This is the case, for example, in computed tomography (CT) medical imaging where one may use anatomic atlas data with X ray radiographic data or in non destructive testing (NDT) techniques where one wants to use both gamma rays and ultrasound echo-graphic data. In this paper, First we present the basics of Bayesian estimation approach and will see how the compound or hierarchical Markov modeling will give us the necessary tools for data fusion. Then, we present two examples: one in medical imaging CT application and the second in industrial NDT. In both cases, we consider an X ray CT image reconstruction problem using two different kind of data: classical X-rays radiographic data and some geometrical informations and propose new methods for these data fusion problems. The geometrical information we use are of two kind: partial knowledge of values in some regions and partial knowledge of the edges of some other regions. We show the advantages of using such informations on increasing the quality of reconstructions. We also show some results to analyze the effects of some errors in these data on the reconstruction results.
Starting Page	440
Ending Page	447
File Size	737658
Page Count	8
File Format	PDF
ISBN	0972184414
DOI	10.1109/ICIF.2002.1021188
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-07-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Int. Soc. of Information Fusion
Subject Keyword	Bayesian methods Image reconstruction Computed tomography Biomedical imaging Radiography Medical tests Solid modeling Testing Gamma rays Ultrasonic imaging
Content Type	Text
Resource Type	Article

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