Motion estimation using the firefly algorithm in ultrasonic image sequence of soft tissue

Chih Feng Chao, Ming Huwi Horng, Yu Chan Chen

研究成果: Article同行評審

6 引文 斯高帕斯(Scopus)

摘要

Ultrasonic image sequence of the soft tissue is widely used in disease diagnosis; however, the speckle noises usually influenced the image quality. These images usually have a low signal-to-noise ratio presentation. The phenomenon gives rise to traditional motion estimation algorithms that are not suitable to measure the motion vectors. In this paper, a new motion estimation algorithm is developed for assessing the velocity field of soft tissue in a sequence of ultrasonic B-mode images. The proposed iterative firefly algorithm (IFA) searches for few candidate points to obtain the optimal motion vector, and then compares it to the traditional iterative full search algorithm (IFSA) via a series of experiments of in vivo ultrasonic image sequences. The experimental results show that the IFA can assess the vector with better efficiency and almost equal estimation quality compared to the traditional IFSA method.

原文English
文章編號343217
期刊Computational and Mathematical Methods in Medicine
2015
DOIs
出版狀態Published - 2015

All Science Journal Classification (ASJC) codes

  • 建模與模擬
  • 一般生物化學,遺傳學和分子生物學
  • 一般免疫學和微生物學
  • 應用數學

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