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A magneto-motive ultrasound platform designed for pre-clinical and clinical applications
Sampaio, Diego Ronaldo Thomaz; Grillo, Felipe Wilker; Bruno, Alexandre Colello; Pavan, Theo Zeferino; Carneiro, Antonio Adilton Oliveira.
  • Sampaio, Diego Ronaldo Thomaz; Universidade de São Paulo. Faculty of Philosophy, Science and Letters of Ribeirão Preto. Ribeirão Preto. BR
  • Grillo, Felipe Wilker; Universidade de São Paulo. Faculty of Philosophy, Science and Letters of Ribeirão Preto. Ribeirão Preto. BR
  • Bruno, Alexandre Colello; Universidade de São Paulo. Faculty of Philosophy, Science and Letters of Ribeirão Preto. Ribeirão Preto. BR
  • Pavan, Theo Zeferino; Universidade de São Paulo. Faculty of Philosophy, Science and Letters of Ribeirão Preto. Ribeirão Preto. BR
  • Carneiro, Antonio Adilton Oliveira; Universidade de São Paulo. Faculty of Philosophy, Science and Letters of Ribeirão Preto. Ribeirão Preto. BR
Res. Biomed. Eng. (Online) ; 32(4): 337-346, Oct.-Dec. 2016. tab, graf
Article in English | LILACS | ID: biblio-842474
ABSTRACT
Abstract Introduction Magneto-motive ultrasound (MMUS) combines magnetism and ultrasound (US) to detect magnetic nanoparticles in soft tissues. One type of MMUS called shear-wave dispersion magneto-motive ultrasound (SDMMUS) analyzes magnetically induced shear waves (SW) to quantify the elasticity and viscosity of the medium. The lack of an established presets or protocols for pre-clinical and clinical studies currently limits the use of MMUS techniques in the clinical setting. Methods This paper proposes a platform to acquire, process, and analyze MMUS and SDMMUS data integrated with a clinical ultrasound equipment. For this purpose, we developed an easy-to-use graphical user interface, written in C++/Qt4, to create an MMUS pulse sequence and collect the ultrasonic data. We designed a graphic interface written in MATLAB to process, display, and analyze the MMUS images. To exemplify how useful the platform is, we conducted two experiments, namely (i) MMUS imaging to detect magnetic particles in the stomach of a rat, and (ii) SDMMUS to estimate the viscoelasticity of a tissue-mimicking phantom containing a spherical target of ferrite. Results The developed software proved to be an easy-to-use platform to automate the acquisition of MMUS/SDMMUS data and image processing. In an in vivo experiment, the MMUS technique detected an area of 6.32 ± 1.32 mm2 where magnetic particles were heterogeneously distributed in the stomach of the rat. The SDMMUS method gave elasticity and viscosity values of 5.05 ± 0.18 kPa and 2.01 ± 0.09 Pa.s, respectively, for a tissue-mimicking phantom. Conclusion Implementation of an MMUS platform with addressed presets and protocols provides a step toward the clinical implementation of MMUS imaging equipment. This platform may help to localize magnetic particles and quantify the elasticity and viscosity of soft tissues, paving a way for its use in pre-clinical and clinical studies.


Full text: Available Index: LILACS (Americas) Type of study: Practice guideline Language: English Journal: Res. Biomed. Eng. (Online) Journal subject: Engenharia Biom‚dica Year: 2016 Type: Article / Project document Affiliation country: Brazil Institution/Affiliation country: Universidade de São Paulo/BR

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Full text: Available Index: LILACS (Americas) Type of study: Practice guideline Language: English Journal: Res. Biomed. Eng. (Online) Journal subject: Engenharia Biom‚dica Year: 2016 Type: Article / Project document Affiliation country: Brazil Institution/Affiliation country: Universidade de São Paulo/BR