Title
Real-Time Crawling Wave Sonoelastography for Human Muscle Characterization: Initial Results
Date Issued
01 March 2019
Access level
metadata only access
Resource Type
journal article
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
Imaging of musculoskeletal tissue dynamics is currently an exploratory field with the goal of aiding rehabilitation and performance evaluation of pathological or asymptomatic patients. In this pilot study, initial elasticity assessments of the biceps brachii were conducted in a novel crawling wave sonoelastography (CWS) system implemented on a research ultrasound instrument with graphical processing unit capabilities, displaying quantitative elasticity values at 4 frames per second. The CWS system computes the tissue stiffness with the generation of an interference pattern from external vibrators, which can overcome depth limitations of imaging systems with internal excitation sources. Validation on gelatin-based phantoms reported low bias of elasticity values (4.7%) at low excitation frequencies. Preliminary results on in vivo muscle characterization are in accordance with average elasticity values for relaxed and contracted tissues found in the literature, as well as for a range of weight loads.
Start page
563
End page
571
Volume
66
Issue
3
Language
English
OCDE Knowledge area
Tecnología médica de laboratorio (análisis de muestras, tecnologías para el diagnóstico)
Subjects
Scopus EID
2-s2.0-85050374596
PubMed ID
Source
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
ISSN of the container
08853010
Sponsor(s)
Manuscript received July 5, 2018; accepted July 19, 2018. Date of publication July 23, 2018; date of current version March 14, 2019. This work was supported by the Fondo Nacional de Desarrollo Cientifico y Tecnologico-PERU, Peruvian Government under Grant 012-2014-FONDECYT-C1. (Corresponding author: Eduardo A. Gonzalez.) E. A. Gonzalez was with the Department of Electrical and Electronic Engineering, Pontificia Universidad Catolica del Peru, Lima 32, Peru. He is now with the Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21287 USA (e-mail: egonza31. . i.edu).
Sources of information:
Directorio de Producción Científica
Scopus