scispace - formally typeset
J

Jie Liu

Researcher at University of Illinois at Urbana–Champaign

Publications -  42
Citations -  486

Jie Liu is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Matched filter & Imaging phantom. The author has an hindex of 10, co-authored 28 publications receiving 465 citations. Previous affiliations of Jie Liu include University of California, Davis.

Papers
More filters
Journal ArticleDOI

Viscoelasticity imaging using ultrasound: parameters and error analysis.

TL;DR: The focus of this paper is on imaging parameter estimation from ultrasonic echo data, and how jitter from hand-held force applicators used for clinical applications propagate through the imaging chain to generate image noise.
Journal ArticleDOI

Role of ultrasonic shear rate estimation errors in assessing inflammatory response and vascular risk.

TL;DR: A new noninvasive ultrasonic method implemented with coded excitation techniques was utilized to improve WSS estimation accuracy and precision by providing high spatial and temporal resolution and quantified the impact of relating shear-mediated cellular adhesion molecule expression to inaccuracies in WSS measurements.
Journal ArticleDOI

Observer efficiency in discrimination tasks Simulating Malignant and benign breast lesions imaged with ultrasound

TL;DR: A numerical approach for evaluating the ideal observer acting on radio frequency (RF) frame data, which involves inversion of large nonstationary covariance matrices, and a power-series approach to computing this inverse is described.
Journal ArticleDOI

Efficient array beam forming by spatial filtering for ultrasound B-mode imaging

TL;DR: Analytical beam pattern analysis and simulation results show that this spatial filtering method can improve lateral resolution and contrast-to-noise ratio as compared with conventional dynamic receive focusing (DRF) methods.
Journal ArticleDOI

Elasticity imaging of polymeric media.

TL;DR: This paper reviews linear viscoelastic theory as applied to gelatin hydrogels for the purpose of formulating approaches to molecular-scale interpretation of elasticity imaging in soft biological tissues and finds Elastic strain and retardance time images are found to provide the best combination of contrast and signal strength in gelatin.