Simulation platform for self-assembly structures in MRI-guided nanorobotic drug delivery systems

Vartholomeos, P; Mavroidis, C

dc.contributor.author	Vartholomeos, P	en
dc.contributor.author	Mavroidis, C	en
dc.date.accessioned	2014-03-01T02:46:59Z
dc.date.available	2014-03-01T02:46:59Z
dc.date.issued	2010	en
dc.identifier.issn	10504729	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32975
dc.subject	Driving Force	en
dc.subject	Drug Delivery	en
dc.subject	Drug Delivery System	en
dc.subject	Human Body	en
dc.subject	Magnetic Field	en
dc.subject	Magnetic Resonance Image	en
dc.subject	Process Analysis	en
dc.subject	Self Assembly	en
dc.subject	Blood Flow	en
dc.subject.other	Blood flow	en
dc.subject.other	Computational tools	en
dc.subject.other	Drug delivery system	en
dc.subject.other	External driving	en
dc.subject.other	External magnetic field	en
dc.subject.other	Human bodies	en
dc.subject.other	Magnetic gradient	en
dc.subject.other	Magnetic nanocapsules	en
dc.subject.other	Magnetic stimuli	en
dc.subject.other	Micron size	en
dc.subject.other	MRI scanners	en
dc.subject.other	Nanorobotic systems	en
dc.subject.other	Post processing	en
dc.subject.other	Self-assembly structure	en
dc.subject.other	Simulation platform	en
dc.subject.other	Simulation result	en
dc.subject.other	Sub-cellular	en
dc.subject.other	Superparamagnetics	en
dc.subject.other	Agglomeration	en
dc.subject.other	Biomagnetism	en
dc.subject.other	Computer simulation	en
dc.subject.other	Drug delivery	en
dc.subject.other	Magnetic field effects	en
dc.subject.other	Magnetic resonance imaging	en
dc.subject.other	Nanocapsules	en
dc.subject.other	Nanoparticles	en
dc.subject.other	Nanorobotics	en
dc.subject.other	Resonance	en
dc.subject.other	Robotics	en
dc.subject.other	Scanning	en
dc.subject.other	Self assembly	en
dc.subject.other	Superparamagnetism	en
dc.subject.other	Visualization	en
dc.subject.other	Nanomagnetics	en
dc.title	Simulation platform for self-assembly structures in MRI-guided nanorobotic drug delivery systems	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ROBOT.2010.5509711	en
heal.identifier.secondary	5509711	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ROBOT.2010.5509711	en
heal.publicationDate	2010	en
heal.abstract	Magnetic Resonance Imaging (MRI) guided nanorobotic systems that could perform diagnostic, curative and reconstructive treatments in the human body at the cellular and sub-cellular level in a controllable manner have recently been proposed. The concept of a MRI-guided nanorobotic system is based on the use of a MRI scanner to induce the required external driving forces to guide magnetic nanocapsules to a specific target. However, the maximum magnetic gradient specifications of existing clinical MRI systems are not capable of driving superparamagnetic nanocapsules against the blood flow and therefore these MRIs do not allow for navigation. The present paper proposes a way to overcome this critical drawback through the formation of micron size agglomerations where their size can be regulated by external magnetic stimuli. This approach is investigated through modeling of the physics that govern the self-assembly of the nanoparticles. Additionally a computational tool has been developed that incorporates the derived models and performs simulation, visualization and post-processing analysis. Preliminary simulation results demonstrate that external magnetic field causes aggregation of nanoparticles while they flow in the vessel. This is a promising result -in accordance with similar experimental results- and encourages further investigation on the nanoparticle based self-assembly structures for use in nanorobotic drug delivery. ©2010 IEEE.	en
heal.journalName	Proceedings - IEEE International Conference on Robotics and Automation	en
dc.identifier.doi	10.1109/ROBOT.2010.5509711	en
dc.identifier.spage	5594	en
dc.identifier.epage	5600	en