2010全国生物材料大会论文集之 (409).pdf

2-D FFT for Periodic Noise Removal on Strain Image

Jing Wang, Dong C. Liu
Computer Science College, Sichuan University
Chengdu, China
wangjingsmiling@, dongcliu@


Abstract—Elastography is a non-invasive method in which Section gives a brief introduction about strain imaging
stiffness of soft tissue is displayed as strain images to assist in artifact reduction. We introduce methods which other groups
detecting or classifying tumors. External pression have been developing. Section presents a brief review
causes axial displacements which are puted about the image restoration in frequency domain. This is a
and converted to strain. However, in this processing, periodic classic topic in image processing, especially for removing the
artifacts often corrupt the image quality severely. This paper periodic noises in frequency domain. In ultrasound
presents a 2-D FFT removal algorithm for reducing such applications, we need to reduce the artifacts but at the same
artifacts in ultrasonic strain imaging. Because the periodic time preserve other useful information such as boundaries of
pattern of the artifacts, we apply the 2-D FFT in the strain image cysts. Because these additional requirements, we develop and
to extract and remove the peaks which are corresponding to
expand our algorithm in Section . Section 3 uses in vitro
artifacts