An improved speckle noise reduction scheme using switching and flagging of noisy data for pre-processing of ultrasonograms in detection of down syndrome during first and second trimesters
by O. Jeba Shiney; J. Amar Pratap Singh; B. Priestly Shan
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 37, No. 2, 2021

Abstract: Down syndrome (DS) is reported to be one of the most common chromosomal abnormality affecting newborns all over the world. Diagnosis of the syndrome at an earlier stage during pregnancy will provide more options for the affected to make decisions on the interventional therapies required for the developing child. The techniques which are currently used in diagnosis of DS like amniocentesis and chorionic villus sampling (CVS) are invasive in nature and are associated with some percentage of risk. This paper aims at developing a clinical decision support system (CDSS) for detection of DS from ultrasound (US) foetal images. As a preliminary step in achieving this, the US images have to be denoised for removal of speckle noise. A modified mean median (MMM) filter has been proposed which is based on the principle of progressive switching theory. Experimental results show that the proposed filter provides better results in terms of peak signal to noise ratio (PSNR), image enhancement factor (IEF) and so on.

Online publication date: Wed, 08-Dec-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com