title: 2D ultrasonic elastography with lateral displacement estimation using statistics.
abstract: Ultrasound elastography is the method of obtaining relative stiffness information of biological tissue, which plays an important role in early diagnosis. Generally, a gradient-based strain imaging algorithm assumes that motion only occurs in an axial direction. However, because tissue has different relative stiffness, the scatter presents lateral motion under high freehand compression. Therefore, errors occur in estimating the cross-correlation phase in the calculation window. A 2D elastography algorithm with lateral displacement estimation using statistics was proposed to reduce errors. The new method was investigated through simulation, and the experiment confirmed that errors introduced by lateral tissue movement have been greatly reduced with no sacrifice of real-time ultrasonic imaging quality.
authors.affiliation: Department of Computer Science and Technology, Changsha College, Changsha 410003, China.
authors.forename: Zhihong
authors.initials: Z
authors.lastname: Zhang
authors.affiliation: School of Computer Science, Sichuan University, Chengdu, Sichuan 610065, China.
authors.forename: Haolin
authors.initials: H
authors.lastname: Liu
authors.affiliation: Detection & Guidance Solution, GE Healthcare, Chengdu, Sichuan 611731, China.
authors.forename: Yangjie
authors.initials: Y
authors.lastname: Cheng
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D003627:Data Interpretation, Statistical; D054459:Elasticity Imaging Techniques / Q000379:methods*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D009038:Motion; D012680:Sensitivity and Specificity
keywords: 2D elastography; cross-correlation; lateral motion; statistics