NDLI: Reconstruction in tomography from severe incomplete projection data using multiresolution analysis and optimization

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Proceedings of IEEE 6th Digital Signal Processing Workshop

The Digital Signal Processing workshop

Reconstruction in tomography from severe incomplete projection data using multiresolution analysis and optimization

Content Provider	IEEE Xplore Digital Library
Author	Feng, J.
Copyright Year	1996
Description	Author affiliation: Dept. of Quantum Eng. & Syst. Sci., Tokyo Univ., Japan (Feng, J.)
Abstract	This paper proposed a new optimization approach over whole distribution region in tomography for smooth distributions from severe incomplete projection data. The multiresolution analysis proposed by Mallet (1989) based on wavelet transform with orthonormal bases proposed by Daubechies (1988) is applied to reduce the number of parameters for optimization and to ignore the details of wavelet representations at high resolution level. Results of reconstructing from 3 or 6 projections for two test distributions demonstrates the usefulness of this approach of tomography for severe incomplete projection data.
Starting Page	133
Ending Page	136
File Size	723398
Page Count	4
File Format	PDF
ISBN	0780336291
DOI	10.1109/DSPWS.1996.555478
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-09-01
Publisher Place	Norway
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tomography Multiresolution analysis Interpolation Wavelet transforms Data visualization Subspace constraints Image reconstruction Data engineering Systems engineering and theory Testing
Content Type	Text
Resource Type	Article

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