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Pengfei Song

Researcher at University of Illinois at Urbana–Champaign

Publications -  176
Citations -  4038

Pengfei Song is an academic researcher from University of Illinois at Urbana–Champaign. The author has contributed to research in topics: Imaging phantom & Elastography. The author has an hindex of 27, co-authored 146 publications receiving 2827 citations. Previous affiliations of Pengfei Song include Illinois College & Mayo Clinic.

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Validation of shear wave elastography in skeletal muscle.

TL;DR: This study provides the necessary first step for additional studies that can evaluate the distribution of stiffness throughout muscle, and combines traditional materials testing techniques with SWE measurements to show increased stiffness measures with increasing tensile load.
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Ultrasound elastography: the new frontier in direct measurement of muscle stiffness.

TL;DR: Different ultrasoundElastography techniques for studying muscle stiffness are described, including strain elastography, acoustic radiation force impulse imaging, and shear-wave elastograph, including the strengths and limitations of their measurement capabilities.
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Shear wave elastography of passive skeletal muscle stiffness: Influences of sex and age throughout adulthood

TL;DR: This work establishes for the first time that the higher passive joint torque often found in males relative to females likely relates to parameters other than muscle shear modulus, which may serve a protective role - maintaining the tendon-muscle-tendon length-tension curve within a functional range.
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Comb-Push Ultrasound Shear Elastography (CUSE): A Novel Method for Two-Dimensional Shear Elasticity Imaging of Soft Tissues

TL;DR: A novel shear elasticity imaging technique, comb-push ultrasound shear elastography (CUSE), is introduced in which only one rapid data acquisition is needed to reconstruct a full field-of-view 2-D shear wave speed map.
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Improved Super-Resolution Ultrasound Microvessel Imaging With Spatiotemporal Nonlocal Means Filtering and Bipartite Graph-Based Microbubble Tracking

TL;DR: The proposed methods and freehand scanning on a free-breathing rabbit and bipartite graph-based pairing method with the use of persistence control suggest that the proposed methods have good potential in facilitating robust robust human super-resolution microvessel imaging in vivo.