DocumentCode
1349534
Title
Localized prior knowledge and optimal interpolation in high-resolution tomography
Author
Willis, A.J. ; Jager, M. ; Eggers, J. ; Koch, R.De M.
Author_Institution
Dept. of Electr. Eng., Univ. of the Witwatersrand, Johannesburg, South Africa
Volume
45
Issue
4
fYear
1998
fDate
4/1/1998 12:00:00 AM
Firstpage
538
Lastpage
541
Abstract
The problem of electromagnetic tomographic reconstruction is approached in terms of the derivation of a minimum norm interpolator, incorporating a priori knowledge gained from a previous reconstruction. An algorithm is suggested for the initial estimate and both images are compared to that of bilinear interpolation.
Keywords
computerised tomography; image reconstruction; interpolation; inverse problems; medical image processing; a priori knowledge; algorithm; bilinear interpolation; electromagnetic tomographic reconstruction; high-resolution tomography; localized prior knowledge; medical diagnostic imaging; minimum norm interpolator derivation; optimal interpolation; Africa; Biomedical imaging; Electromagnetic diffraction; Fourier transforms; Frequency domain analysis; Image reconstruction; Imaging phantoms; Interpolation; Radio frequency; Tomography; Algorithms; Fourier Analysis; Image Processing, Computer-Assisted; Models, Theoretical; Tomography;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/10.664211
Filename
664211
Link To Document