BACKGROUND: Magnetic endovascular navigation of wireless or soft-tethered endoluminal devices was recently proposed in the literature. This approach allows for innovative therapeutic procedures, but developing a real-time tracking strategy, compatible with magnetic dragging, is a challenging problem and is not yet solved. METHODS: Two-dimensional (2D) imaging ultrasound (US)-based tracking algorithms applied to a platform for cardiovascular treatment, i.e. the MicroVAST platform, were implemented and tested for deriving the optimal strategy for tracking endovascular devices dragged by magnetic locomotion. RESULTS: The algorithm, based on the combination of Shi-Tomasi features detector, Lucas-Kanade features tracking and watershed segmentation technique, was demonstrated to be the most reliable and accurate solution for the implementation of the tracking strategy of soft-tethered endoluminal devices. CONCLUSIONS: Our results encourage the development of US-based tracking algorithms for endoluminal devices in cardiovascular surgery, paving the way to a robust three-dimensional (3D) imaging US-based tracking strategy implementation. Copyright (c) 2014 John Wiley & Sons, Ltd.
|Autori interni:||FERRARI, VINCENZO|
|Autori:||M. Mura;G. Ciuti;V. Ferrari;P. Dario;A. Menciassi|
|Titolo:||Ultrasound-based tracking strategy for endoluminal devices in cardiovascular surgery|
|Anno del prodotto:||2014|
|Appare nelle tipologie:||1.1 Articolo in rivista|