MRI-based Medical Nanorobotic Platform for the Control of Magnetic Nanoparticles and Flagellated Bacteria for Target Interventions in Human Capillaries

Author:

Martel Sylvain1,Felfoul Ouajdi2,Mathieu Jean-Baptiste2,Chanu Arnaud2,Tamaz Samer2,Mohammadi Mahmood2,Mankiewicz Martin2,Tabatabaei Nasr2

Affiliation:

1. NanoRobotics Laboratory, Department of Computer and Software Engineering, Institute of Biomedical Engineering, École Polytechnique de Montréal (EPM), Campus of the Université de Montréal, P.O. Box 6079, Station Centre-ville, Montréal, Québec, Canada H3C 3A7,

2. NanoRobotics Laboratory, Department of Computer and Software Engineering, Institute of Biomedical Engineering, École Polytechnique de Montréal (EPM), Campus of the Université de Montréal, P.O. Box 6079, Station Centre-ville, Montréal, Québec, Canada H3C 3A7

Abstract

Medical nanorobotics exploits nanometer-scale components and phenomena with robotics to provide new medical diagnostic and interventional tools. Here, the architecture and main specifications of a novel medical interventional platform based on nanorobotics and nanomedicine, and suited to target regions inaccessible to catheterization, are described. The robotic platform uses magnetic resonance imaging (MRI) for feeding back information to a controller responsible for the real-time control and navigation along pre-planned paths in the blood vessels of untethered magnetic carriers, nanorobots, and/or magnetotactic bacteria (MTB) loaded with sensory or therapeutic agents acting like a wireless robotic arm, manipulator, or other extensions necessary to perform specific remote tasks. Unlike known magnetic targeting methods, the present platform allows us to reach locations deep in the human body while enhancing targeting efficacy using real-time navigational or trajectory control. We describe several versions of the platform upgraded through additional software and hardware modules allowing enhanced targeting efficacy and operations in very difficult locations such as tumoral lesions only accessible through complex microvasculature networks.

Publisher

SAGE Publications

Subject

Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modelling and Simulation,Software

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