Real-Time Crawling Wave Sonoelastography for Human Muscle Characterization: Initial Results

• Autores: Gonzalez E.A., Romero S.E., Castaneda B.
• Formato: artículo
• Fecha de Publicación: 2019
• Institución: Consejo Nacional de Ciencia Tecnología e Innovación
• Repositorio: CONCYTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.concytec.gob.pe:20.500.12390/2717
• Enlace del recurso: https://hdl.handle.net/20.500.12390/2717; https://doi.org/10.1109/TUFFC.2018.2858658
• Nivel de acceso: acceso abierto
• Materia: quantitative imaging; Biceps brachii; crawling waves (CrWs); elastography; graphical processing unit (GPU); http://purl.org/pe-repo/ocde/ford#2.02.03

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. © 1986-2012 IEEE.