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Image reconstruction from incomplete projections data: A multiresolution modeling approach

Aravindhan, K and Rajgopal, K (1996) Image reconstruction from incomplete projections data: A multiresolution modeling approach. In: 14th World Conference on NDT - Trends in NDE Science and Technology (14th WCNDT), DEC 08-13, 1996, NEW DELHI, INDIA.

Full text not available from this repository.
Official URL: http://www.ndt.net/abstract/wcndt96/data2/581.htm

Abstract

Computerized tomography is an imaging technique which produces cross sectional map of an object from its line integrals. Image reconstruction algorithms require collection of line integrals covering the whole measurement range. However, in many practical situations part of projection data is inaccurately measured or not measured at all. In such incomplete projection data situations, conventional image reconstruction algorithms like the convolution back projection algorithm (CBP) and the Fourier reconstruction algorithm, assuming the projection data to be complete, produce degraded images. In this paper, a multiresolution multiscale modeling using the wavelet transform coefficients of projections is proposed for projection completion. The missing coefficients are then predicted based on these models at each scale followed by inverse wavelet transform to obtain the estimated projection data.

Item Type: Conference Paper
Additional Information: Copyright of this article belongs to A A Balkema.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 29 Apr 2011 08:31
Last Modified: 29 Apr 2011 08:31
URI: http://eprints.iisc.ernet.in/id/eprint/37305

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