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A SOM algorithm based procedure for MRI image processing under significant Rician noise


Jiang, D, A SOM algorithm based procedure for MRI image processing under significant Rician noise, Proceedings of the 3rd Australian Control Conference (AUCC), 4-5 Nov 2013, Perth, Australia, pp. 14-19. ISBN 978-1-4799-2497-4 (2013) [Refereed Conference Paper]

Copyright Statement

Copyright 2013 IEEE

DOI: doi:10.1109/AUCC.2013.6697241


In this paper, a self-organizing map (SOM) based procedure is proposed for MRI image processing. Such images are usually corrupted by Rician noise generated during the image formation processing due to the nature of MRI technique. Rician noise is non-additive, signal dependent, and highly nonlinear, significantly different from those commonly discussed in images. These features make it very difficult to separate the signal from noise. A SOM algorithm is carefully applied to accurate MRI image processing by taking the decent Rician noise feature into consideration, resulting in a novel procedure for denosing and segmentation. The procedure is intuitively developed and justified, and demonstrated using simulation examples on a typical knee cartilage MRI image.

Item Details

Item Type:Refereed Conference Paper
Keywords:image processing, MRI, SOM
Research Division:Information and Computing Sciences
Research Group:Computer vision and multimedia computation
Research Field:Image processing
Objective Division:Health
Objective Group:Clinical health
Objective Field:Diagnosis of human diseases and conditions
UTAS Author:Jiang, D (Dr Danchi Jiang)
ID Code:88623
Year Published:2013
Deposited By:Engineering
Deposited On:2014-02-11
Last Modified:2017-11-06

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