INDUSTRIAL MATHEMATICS IN ULTRASOUND IMAGING

IF 0.3 Q4 MATHEMATICS, APPLIED
Jaeseong Jang, C. Ahn
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引用次数: 1

Abstract

Ultrasound imaging is a widely used tool for visualizing human body’s internal organs and quantifying clinical parameters. Due to its advantages such as safety, noninvasiveness, portability, low cost and real-time 2D/3D imaging, diagnostic ultrasound industry has steadily grown. Since the technology advancements such as digital beam-forming, Doppler ultrasound, real-time 3D imaging and automated diagnosis techniques, there are still a lot of demands for image quality improvement, faster and accurate imaging, 3D color Doppler imaging and advanced functional imaging modes. In order to satisfy those demands, mathematics should be used properly and effectively in ultrasound imaging. Mathematics has been used commonly as mathematical modelling, numerical solutions and visualization, combined with science and engineering. In this article, we describe a brief history of ultrasound imaging, its basic principle, its applications in obstetrics/gynecology, cardiology and radiology, domestic-industrial products, contributions of mathematics and challenging issues in ultrasound imaging.
超声成像中的工业数学
超声成像是一种广泛应用于人体内脏器官可视化和临床参数量化的工具。由于其安全、无创、便携、低成本和实时二维/三维成像等优点,超声诊断行业稳步发展。随着数字波束形成、多普勒超声、实时三维成像和自动诊断技术等技术的进步,人们对图像质量的提高、成像速度的加快、成像精度的提高、三维彩色多普勒成像和先进的功能成像模式等仍有很大的需求。为了满足这些要求,在超声成像中必须正确有效地运用数学。数学已被广泛应用于数学建模、数值解和可视化,并与科学和工程相结合。本文介绍了超声成像的简史、基本原理、在妇产科、心脏科和放射科的应用、国内工业产品、超声成像中数学的贡献和面临的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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