Derivation of SOM-like rules for intensity inhomogeneity correction in MRI

Authors:
Maite García-Sebastián;Ana I. Gonzalez;Manuel Graña
Affiliations:
Computational Intelligence Group, Dept., CCIA, San Sebastian, Spain;Computational Intelligence Group, Dept., CCIA, San Sebastian, Spain;Computational Intelligence Group, Dept., CCIA, San Sebastian, Spain
Venue:
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Year:
2007

Citing 4
Cited 0

Digital Image Processing

Digital Image Processing
Compensation of Spatial Inhomogeneity in MRI Based on a Parametric Bias Estimate

VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
Segmentation of Multispectral MR Images Using a Hierarchical Self-Organizing Map

CBMS '01 Proceedings of the Fourteenth IEEE Symposium on Computer-Based Medical Systems
Multispectral MR Images Segmentation Using SOM Network

CIT '04 Proceedings of the The Fourth International Conference on Computer and Information Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Given an appropriate imaging resolution, a common Magnetic Resonance Imaging (MRI) model assumes that the object under study is composed of piecewise constant materials, so that MRI produces piecewise constant images. The intensity inhomogeneity (IIH), due to the spatial inhomogeneity in the excitatory Radio Frequency (RF) signal and other effects, is modeled by a multiplicative inhomogeneity field. We propose and test two estimation rules of the IIH field, inspired in the Self Organizing Map (SOM), derived from well defined energy functions.