3D Ultrasound Shear Wave Elastography for Musculoskeletal Tissue Assessment Under Compressive Load: A Feasibility Study

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

4 Citations (Scopus)

Abstract

Given its real-time capability to quantify mechanical tissue properties, ultrasound shear wave elastography holds significant promise in clinical musculoskeletal imaging. However, existing shear wave elastography methods fall short in enabling full-limb analysis of 3D anatomical structures under diverse loading conditions, and may introduce measurement bias due to sonographer-applied force on the transducer. These limitations pose numerous challenges, particularly for 3D computational biomechanical tissue modeling in areas like prosthetic socket design. In this feasibility study, a clinical linear ultrasound transducer system with integrated shear wave elastography capabilities was utilized to scan both a calibrated phantom and human limbs in a water tank imaging setup. By conducting 2D and 3D scans under varying compressive loads, this study demonstrates the feasibility of volumetric ultrasound shear wave elastography of human limbs. Our preliminary results showcase a potential method for evaluating 3D spatially varying tissue properties, offering future extensions to computational biomechanical modeling of tissue for various clinical scenarios.

Original languageEnglish
Pages (from-to)251-262
Number of pages12
JournalUltrasonic Imaging
Volume46
Issue number4-5
DOIs
Publication statusPublished - 1 Sep 2024

Keywords

  • imaging
  • musculoskeletal
  • shear wave elastography
  • tissue biomechanics
  • ultrasound

Authors (Note for portal: view the doc link for the full list of authors)

  • Authors
  • Ranger, Bryan J. and Moerman, Kevin M. and Feigin, Micha and Herr, Hugh M. and Anthony, Brian W.

Fingerprint

Dive into the research topics of '3D Ultrasound Shear Wave Elastography for Musculoskeletal Tissue Assessment Under Compressive Load: A Feasibility Study'. Together they form a unique fingerprint.

Cite this