Proceedings of the International Conference on Health and Medical Sciences (AHMS 2020)

Improving Image Quality Using Filtering Weighted Median Filter Techniques on Magnetic Resonance Imaging (MRI) Breast Images

Authors
Aulia Annisa, Leny Latifah, Luthfi Rusyadi
Corresponding Author
Aulia Annisa
Available Online 27 January 2021.
DOI
10.2991/ahsr.k.210127.014How to use a DOI?
Keywords
MRI Breast, Weighted Median Filter (WMF), SNR, CNR
Abstract

Acquisition of MRI images takes a long time so that it can cause movements that create motion images in the image. In addition to the acquisition of MRI itself can produce noise, movement of the image can reduce the quality of the image. The image quality can be improved by using denoising post processing methods. One denoising method that can improve image quality is Weighted Median Filter (WMF). Data was taken from MRI Breast patient images and then given the application of WMF filtering technique. Denoising post-image acquisition becomes a cheaper and effective alternative. This research is expected to be able to improve the image quality on MRI Breast axial T2WI sequences with noise reduction.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the International Conference on Health and Medical Sciences (AHMS 2020)
Series
Advances in Health Sciences Research
Publication Date
27 January 2021
ISBN
978-94-6239-322-6
ISSN
2468-5739
DOI
10.2991/ahsr.k.210127.014How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Aulia Annisa
AU  - Leny Latifah
AU  - Luthfi Rusyadi
PY  - 2021
DA  - 2021/01/27
TI  - Improving Image Quality Using Filtering Weighted Median Filter Techniques on Magnetic Resonance Imaging (MRI) Breast Images
BT  - Proceedings of the International Conference on Health and Medical Sciences (AHMS 2020)
PB  - Atlantis Press
SP  - 60
EP  - 65
SN  - 2468-5739
UR  - https://doi.org/10.2991/ahsr.k.210127.014
DO  - 10.2991/ahsr.k.210127.014
ID  - Annisa2021
ER  -