Abstract
This paper addresses the problem of image reconstruction from limited Fourier data. An improved parameter estimation algorithm is proposed for use with a polynomial model-based image reconstruction method. Results from magnetic resonance imaging data are shown to demonstrate the performance of the proposed algorithm.
Original language | English (US) |
---|---|
Pages (from-to) | 19-27 |
Number of pages | 9 |
Journal | Inverse Problems |
Volume | 14 |
Issue number | 1 |
DOIs | |
State | Published - Dec 1 1998 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Signal Processing
- Mathematical Physics
- Computer Science Applications
- Applied Mathematics