A fuzzy clustering based color-coded diagram for effective illustration of blood perfusion parameters in contrast-enhanced ultrasound videos.

Journal: Computer methods and programs in biomedicine
Published Date: Nov 19, 2019

Abstract

BACKGROUND AND OBJECTIVE: Early identification and diagnosis of tumors are of great significance to improve the survival rate of patients. Amongst other techniques, contrast-enhanced ultrasound is an important means to help doctors diagnose tumors. Due to the advantages of high efficiency, accuracy and objectivity, more and more computer-aided methods are used in medical diagnosis. Here we propose, a color-coded diagram based on quantitative blood perfusion parameters for contrast-enhanced ultrasound video. The method realizes the static description of the dynamic blood perfusion process in contrast-enhanced ultrasound videos and reveal the blood perfusion characteristics of all regions of the tissue providing assistance to the doctors in their clinical diagnosis.

Authors

  • Zhemin Zhuang
    Engineering College, Shantou University, Shantou, Guangdong, China.
  • Guangwen Fan
    Department of Electronic Engineering, Shantou University, Shantou, Guangdong, China.
  • Ye Yuan
    School of Artificial Intelligence and Automation, MOE Key Lab of Intelligent Control and Image Processing, Huazhong University of Science and Technology, Wuhan 430074, China.
  • Alex Noel Joseph Raj
    Department of Electronic Engineering, Shantou University, Shantou, Guangdong, China. jalexnoel@stu.edu.cn.
  • Shunmin Qiu
    Department of Ultrasound, First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.

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