File(s) under permanent embargo
Automated background segmentation for Rician noise estimation of noisy MR images
conference contribution
posted on 2023-05-23, 07:02 authored by Tran, VH, Jiang, DThe accurate estimation of Rician noise standard deviation is necessary for effective MR image denoising. In this short paper, we show that background segmentation is desirable for an accurate estimation of Rician noise parameter. Motivated by that observation an automated background segmentation algorithm is developed by combining morphological operations and active contour model in order to get more desired results. A test set MR images on 62 slices of human knee is used for illustration purpose. The proposed method is compared with some existing noise estimation methods and is shown to produce more accurate results.
History
Publication title
Proceedings of CIBEC2012Editors
Ahmed ElbialyPagination
150-153ISBN
978-1-4673-2800-5Department/School
School of EngineeringPublisher
IEEEPlace of publication
Cairo, EgyptEvent title
The 6th Cairo International Conference on Biomedical EngineeringEvent Venue
Cairo, EgyptDate of Event (Start Date)
2012-12-20Date of Event (End Date)
2012-12-22Rights statement
Copyright 2012 IEEERepository Status
- Restricted