Dynamic tracking of a magnetic micro-roller using ultrasound phase analysis
Abstract Microrobots (MRs) have attracted significant interest for their potentialities in diagnosis and non-invasive intervention in hard-to-reach body areas. Fine control of biomedical MRs requires real-time feedback on their position and configuration. Ultrasound (US) imaging stands as a mature a...
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Nature Portfolio
2021
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oai:doaj.org-article:29f46b46ba0e40219226954dcb78ab892021-12-05T12:14:50ZDynamic tracking of a magnetic micro-roller using ultrasound phase analysis10.1038/s41598-021-02553-z2045-2322https://doaj.org/article/29f46b46ba0e40219226954dcb78ab892021-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02553-zhttps://doaj.org/toc/2045-2322Abstract Microrobots (MRs) have attracted significant interest for their potentialities in diagnosis and non-invasive intervention in hard-to-reach body areas. Fine control of biomedical MRs requires real-time feedback on their position and configuration. Ultrasound (US) imaging stands as a mature and advantageous technology for MRs tracking, but it suffers from disturbances due to low contrast resolution. To overcome these limitations and make US imaging suitable for monitoring and tracking MRs, we propose a US contrast enhancement mechanism for MR visualization in echogenic backgrounds (e.g., tissue). Our technique exploits the specific acoustic phase modulation produced by the MR characteristic motions. By applying this principle, we performed real-time visualization and position tracking of a magnetic MR rolling on a lumen boundary, both in static flow and opposing flow conditions, with an average error of 0.25 body-lengths. Overall, the reported results unveil countless possibilities to exploit the proposed approach as a robust feedback strategy for monitoring and tracking biomedical MRs in-vivo.Stefano PaneVeronica IacovacciMohammad Hasan Dad AnsariArianna MenciassiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021) |
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Medicine R Science Q Stefano Pane Veronica Iacovacci Mohammad Hasan Dad Ansari Arianna Menciassi Dynamic tracking of a magnetic micro-roller using ultrasound phase analysis |
description |
Abstract Microrobots (MRs) have attracted significant interest for their potentialities in diagnosis and non-invasive intervention in hard-to-reach body areas. Fine control of biomedical MRs requires real-time feedback on their position and configuration. Ultrasound (US) imaging stands as a mature and advantageous technology for MRs tracking, but it suffers from disturbances due to low contrast resolution. To overcome these limitations and make US imaging suitable for monitoring and tracking MRs, we propose a US contrast enhancement mechanism for MR visualization in echogenic backgrounds (e.g., tissue). Our technique exploits the specific acoustic phase modulation produced by the MR characteristic motions. By applying this principle, we performed real-time visualization and position tracking of a magnetic MR rolling on a lumen boundary, both in static flow and opposing flow conditions, with an average error of 0.25 body-lengths. Overall, the reported results unveil countless possibilities to exploit the proposed approach as a robust feedback strategy for monitoring and tracking biomedical MRs in-vivo. |
format |
article |
author |
Stefano Pane Veronica Iacovacci Mohammad Hasan Dad Ansari Arianna Menciassi |
author_facet |
Stefano Pane Veronica Iacovacci Mohammad Hasan Dad Ansari Arianna Menciassi |
author_sort |
Stefano Pane |
title |
Dynamic tracking of a magnetic micro-roller using ultrasound phase analysis |
title_short |
Dynamic tracking of a magnetic micro-roller using ultrasound phase analysis |
title_full |
Dynamic tracking of a magnetic micro-roller using ultrasound phase analysis |
title_fullStr |
Dynamic tracking of a magnetic micro-roller using ultrasound phase analysis |
title_full_unstemmed |
Dynamic tracking of a magnetic micro-roller using ultrasound phase analysis |
title_sort |
dynamic tracking of a magnetic micro-roller using ultrasound phase analysis |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/29f46b46ba0e40219226954dcb78ab89 |
work_keys_str_mv |
AT stefanopane dynamictrackingofamagneticmicrorollerusingultrasoundphaseanalysis AT veronicaiacovacci dynamictrackingofamagneticmicrorollerusingultrasoundphaseanalysis AT mohammadhasandadansari dynamictrackingofamagneticmicrorollerusingultrasoundphaseanalysis AT ariannamenciassi dynamictrackingofamagneticmicrorollerusingultrasoundphaseanalysis |
_version_ |
1718372122384924672 |