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A SOM algorithm based procedure for MRI image processing under significant Rician noise
conference contribution
posted on 2023-05-23, 08:16 authored by Jiang, DIn 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.
History
Publication title
Proceedings of the 3rd Australian Control Conference (AUCC)Editors
Victor SreeramPagination
14-19ISBN
978-1-4799-2497-4Department/School
School of EngineeringPublisher
IEEEPlace of publication
Perth, AustraliaEvent title
3rd Australian Control Conference (AUCC)Event Venue
Perth, AustraliaDate of Event (Start Date)
2013-11-04Date of Event (End Date)
2013-11-05Rights statement
Copyright 2013 IEEERepository Status
- Restricted