✦ LIBER ✦

The relation of low frequency restoration methods to the gerchberg-papoulis algorithm

✍ Scribed by Hong Yan; Jintong Mao

Publisher: John Wiley and Sons
Year: 1990
Tongue: English
Weight: 342 KB
Volume: 16
Category: Article
ISSN: 0740-3194
DOI: 10.1002/mrm.1910160116

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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