title: Systematic Performance Evaluation of a Cross-Correlation-Based Ultrasound Strain Imaging Method.
abstract: Estimation of tissue motion in the lateral direction remains a major challenge in 2-D ultrasound strain imaging (USI). Although various methodologies have been proposed to improve the accuracy of estimation of in-plane displacements and strains, the fundamental limitations of 2-D USI and how to choose optimal algorithmic parameters in various tissue deformation paradigms to retrieve the full strain tensor of acceptable accuracy are scattered throughout the literature. Thus, this study attempts to provide a systematic investigation of a 2-D cross-correlation-based USI method in a theoretical framework. Our previously developed cross-correlation-based USI method was revisited, and additional estimation strategies were incorporated to improve in-plane displacement and strain estimation. The performance of the presented method using different matching kernel sizes (axial: from 1λ to 14λ, where λ = wavelength; lateral: from 1 to 13 pitches) and two data formats (radiofrequency and envelope) in various kinematic scenarios (normal, shear or hybrid deformation) was investigated using Field II simulations, in which coherent plane wave compounding with 64 steered angles was realized. For radiofrequency-based USI, smaller axial and larger lateral kernel sizes were preferred in scenarios with normal strains, whereas larger kernel sizes along the shearing direction and smaller ones orthogonal to the shearing direction were more suitable in scenarios with shear strains. For envelope-based USI, in contrast, the kernel size requirement was relatively relaxed. A compromise between optimal kernel sizes and estimation accuracy of various strain components was required in complex kinematic scenarios. These practical strategies for accurate motion estimation using 2-D cross-correlation-based USI were further tested in a tissue-mimicking phantom under quasi-static compression and in a preliminary in vivo examination of a normal human median nerve at the wrist during active finger motion.
authors.affiliation: Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong.
authors.forename: He
authors.initials: H
authors.lastname: Li
authors.affiliation: Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong.
authors.forename: Yuexin
authors.initials: Y
authors.lastname: Guo
authors.affiliation: Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong; Medical Engineering Programme, The University of Hong Kong, Hong Kong. Electronic address: wnlee@eee.hku.hk.
authors.forename: Wei-Ning
authors.initials: WN
authors.lastname: Lee
mesh_terms: D005385:Fingers / Q000502:physiology; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008475:Median Nerve / Q000000981:diagnostic imaging* / Q000502:physiology*; D009038:Motion; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D014463:Ultrasonography / Q000379:methods*; D014955:Wrist Joint / Q000000981:diagnostic imaging
keywords: Coherent plane wave compounding; Envelope; Lateral; Radiofrequency; Shear; Speckle tracking; Strain; Ultrasound