Earticle

초록

영어

Because stiff tissue deforms less than soft tissue under the same external compression, elastography can provide relative stiffness information of biological tissue. However, elastography suffers from artifact noise which may come from two dominant sources: de-correlation error and amplitude modulation error. In order to reduce artifacts and improve the quality of ultrasonic elastography, this paper proposes a centralized displacement operation based on an adaptive anisotropic diffusion filtering. We have applied the median and the mean of displacement axial gradient to differentiate edges from artifacts and categorize the whole displacement image into two different patterns; followed by the adjustable anisotropic diffusion filtering. The proposed algorithm can reduce artifact noise and, at the same time, maintain the tissue structure. Phantom testing shows that the proposed method can improve the quality of ultrasonic elastography in terms of tissue SNRe and CNRe values.

목차

Abstract
 1. Introduction
 2. Method
  2.1. Centralized Displacement
  2.2 Centralized Displacement Operation
  2.3. The Algorithm
 3. Results and Discussion
  3.1. Criteria for Quantifying Algorithm Performance
  3.2. Phantom Image
  3.3. Discussion
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Dangguo Shao [ Faculty of Information Engineering and Automation, KunMing University of Science and Technology, KunMing, China ] Corresponding author
• Yong Chen [ Faculty of Information Engineering and Automation, KunMing University of Science and Technology, KunMing, China ]
• Sanli Yi [ Faculty of Information Engineering and Automation, KunMing University of Science and Technology, KunMing, China ]
• Lei Ma [ Faculty of Information Engineering and Automation, KunMing University of Science and Technology, KunMing, China ]
• Jianfeng He [ Faculty of Information Engineering and Automation, KunMing University of Science and Technology, KunMing, China ]
• Dong C. Liu [ School of Computer Science, Sichuan University, Chengdu, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605