Abstract
In magnetic resonance imaging, low frequency components can be allowed to saturate the analog to digital converter to reduce the quantization noise. These components can be estimated using least squares error estimation based low frequency restoration methods or the iterative Gerchberg-Papoulis algorithm. In this paper, we show the relationship between the closed form estimation methods and the iterative algorithm, propose a method for improving the speed of iteration, and discuss the advantages and disadvantages of two types of methods.
© 1990 Academic Press, Inc.
© 1990 Academic Press, Inc.
| Original language | English |
|---|---|
| Pages (from-to) | 166-172 |
| Journal | Magnetic Resonance in Medicine |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Oct 1990 |
| Externally published | Yes |
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