✦ LIBER ✦

Fast algorithm for calculation of inhomogeneity gradient in magnetic resonance imaging data

✍ Scribed by Cheukkai Hui; Yu Xiang Zhou; Ponnada Narayana

Publisher: John Wiley and Sons
Year: 2010
Tongue: English
Weight: 487 KB
Volume: 32
Category: Article
ISSN: 1053-1807
DOI: 10.1002/jmri.22344

No coin nor oath required. For personal study only.

✦ Synopsis

Abstract

Purpose

To develop and implement a new approach for correcting the intensity inhomogeneity in magnetic resonance imaging (MRI) data.

Materials and Methods

The algorithm is based on the assumption that intensity inhomogeneity in MR data is multiplicative and smoothly varying. Using a statistically stable method, the algorithm first calculates the partial derivative of the inhomogeneity gradient across the data. The algorithm then solves for the gradient field and fits it to a parametric surface. It was tested on both simulated and real human and animal MRI data.

Results

The algorithm is shown to restore the homogeneity in all images that were tested. On real human brain images the algorithm demonstrated superior or comparable performance relative to some of the commonly used intensity inhomogeneity correction methods such as SPM, BrainSuite, and N3.

Conclusion

The proposed algorithm provides an alternative method for correcting the intensity inhomogeneity in MR images. It is shown to be fast and its performance is superior or comparable to algorithms described in the published literature. Due to its generality, this algorithm is applicable to MR images of both humans and animals. J. Magn. Reson. Imaging 2010;32:1197–1208. © 2010 Wiley‐Liss, Inc.

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