MUSA-WAVE: A Software Platform for Magnetomotive Ultrasound and Shear Wave Analysis

Author(s)

Uliana, Joao Henrique ; Thomaz Sampaio, Diego Ronaldo ; Sanches, Ariane Franson ; Pavan, Theo Zeferino ; de Oliveira Carneiro, Antonio Adilton

• Document type: Journal article
• Source: 2024 IEEE UFFC LATIN AMERICA ULTRASONICS SYMPOSIUM, LAUS; v. N/A, p. 4-pg., 2024-01-01.

Abstract

Ultrasound imaging techniques employing induced particle displacement or particle velocity have several biomedical applications due to their capacity to estimate the mechanical properties of tissues. These methods are valuable, for example, in shear wave elastography and magnetomotive ultrasound. Important steps include estimating particle displacement maps, filtering, and post-processing to accurately estimate stiffness in elastography-based techniques, analyze the behavior of magnetic nanoparticles in magnetomotive ultrasound, and estimate viscoelastic parameters of materials. In this paper, a software platform designed for processing ultrasound data, estimating displacement maps, and analyzing shear wave group and phase velocity are described. It comprises some of the most used algorithms available in the literature for processing ultrasound radiofrequency data. The platform's features were described, and examples of its applications in acoustic radiation force and magnetomotive ultrasound were demonstrated. (AU)

• FAPESP's process: 22/07463-5 - Multi-user equipment approved in grant 2018/16939-8: equipment of ultrasound for reasearch model VANTANGE 256 from Verasonics
• Grantee: Antonio Adilton Oliveira Carneiro
• Support Opportunities: Multi-user Equipment Program
• FAPESP's process: 21/06728-2 - Photoacoustic and ultrasound imaging for theranostic purposes
• Grantee: Theo Zeferino Pavan
• Support Opportunities: Research Grants - Young Investigators Grants - Phase 2
• FAPESP's process: 18/16939-8 - Development and implementation of novel acoustic, magnetic and optical techniques for diagnostic and therapeutic applications
• Grantee: Antonio Adilton Oliveira Carneiro
• Support Opportunities: Research Projects - Thematic Grants