弹性模量成像利用光流和图像配准

R. Martí, J. Noble
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引用次数: 1

摘要

弹性成像是一种评估弹性组织特性的成像技术,或者更具体地说是弹性模量成像,正在成为计算机辅助诊断系统中的重要诊断工具,特别是超声和MRI图像。该技术在图像序列的变形分析中仍然存在未解决的挑战。本文的目的有两个:评估由最先进的光流和图像配准算法获得的变形场在弹性模量成像中的适用性;定量评估两种不同的估计弹性模量分布的方法。结果表明,光流方法的重建效果略好,而Sumi等人提出的方法的重建精度更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elastic modulus imaging using optical flow and image registration
Elastography, the imaging technique for estimating the elastic tissue properties, or more specifically elastic modulus imaging, are becoming important diagnosis tools in computer aided diagnosis system, specially focusing on ultrasound and MRI images. This technique still presents unsolved challenges in the analysis of deformations in sequences of images. The aim of this paper is twofold: to evaluate the applicability of the deformation field obtained by state of the art optical flow and image registration algorithms for elastic modulus imaging and to quantitatively evaluate two different methods for estimation of the elastic modulus distribution. Results show that optical-flow methods provide a slightly better reconstruction and that the reconstruction has been shown to be more accurate using the method proposed by Sumi et al.
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