Earticle

초록

영어

With the purpose of solving the issue that there are errors in the traditional Loupas Algorithm used in ARFI and the effects of imaging are not as good as expected, this thesis will talk about an improved method to solve this proplem.Based on Loupas Algorithm, it is presented that we can get more accurate computing result of the displacement by changing the size of the sampling time windows and calculating the average speed according to the 2D autocorrelator.The method presented in this paper is aimed at doing computing refering to the tiny displacement caused by the push from ARFI and comparing between the displacement-time graph of the focus of the windows with different value.Finally,from these,people can know the most suitable value of the sampling time windows.Compared with the result of the experientunder traditional Loupas Algorithm,that of this experient has improved a lot.As a result,not only Elastographic Contrast-to-Noise Ratio has been improved,but also the image quality.

목차

Abstract
 1. Introduction
 2. Methods
  2.1. Algorithm Methods
  2.2. Average Displacement Calculation
 3. Results and Discussion
  3.1. Displacement -Time Curve Analysis
  3.2. Matlab Simulation of Images and Computational Research
 4. Conclusion
 References

키워드

저자

• YouXin [ Sichuan University，Medical imaging Lab, Sichuan, Chengdu ]
• ShiDan [ Sichuan University，Medical imaging Lab, Sichuan, Chengdu ]
• YinHao [ Sichuan University，Medical imaging Lab, Sichuan, Chengdu ]
• LiuYu [ Sichuan University，Medical imaging Lab, Sichuan, Chengdu ]
• Dongc Liu [ Sichuan University，Medical imaging Lab, Sichuan, Chengdu ]

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