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Receive Signal Strength Tumor Localization Using Magnetic Nanoparticles and SQUIDs

Receive Signal Strength Tumor Localization Using Magnetic Nanoparticles and SQUIDs In this paper we have modeled magnetic nanoparticle mathematically and have utilized a semi-classical approach based on Landau–Lifshitz Gilbert (LLG) equations. Our approach has based on Finite Element Method (FEM) as a numerical technique for finding approximate solutions of partial differential equations (PDE). The solution approach is based either on steady state problems, or rendering the PDE into an approximating system of ordinary differential equations, which are then numerically integrated using standard techniques. The proposed model has applied to three kind of magnetic nanoparticles including FluidMAG-DXS, FluidMAG-CMX and FluidMAG-PEI. Then Received Signal Strength (RSS) localization is utilized to find the true location of tumor where nanoparticles attached to it. The results of simulation prove that the error location can be less than 0.1 Cm. Researchers and clinicians can take advantage of these results in order for nanotechnology to make an impact in the diagnosis and treatment of malignancy. Furthermore the proposed model for magnetic nanoparticles can be used in improvement of drug delivery, cancer detection, diagnosis, imaging, and therapy while reducing toxicity. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Advances in Microelectronic Engineering Science and Engineering Publishing Company

Receive Signal Strength Tumor Localization Using Magnetic Nanoparticles and SQUIDs

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Publisher
Science and Engineering Publishing Company
Copyright
Science and Engineering Publishing Company
ISSN
2327-7300
eISSN
2327-7599

Abstract

In this paper we have modeled magnetic nanoparticle mathematically and have utilized a semi-classical approach based on Landau–Lifshitz Gilbert (LLG) equations. Our approach has based on Finite Element Method (FEM) as a numerical technique for finding approximate solutions of partial differential equations (PDE). The solution approach is based either on steady state problems, or rendering the PDE into an approximating system of ordinary differential equations, which are then numerically integrated using standard techniques. The proposed model has applied to three kind of magnetic nanoparticles including FluidMAG-DXS, FluidMAG-CMX and FluidMAG-PEI. Then Received Signal Strength (RSS) localization is utilized to find the true location of tumor where nanoparticles attached to it. The results of simulation prove that the error location can be less than 0.1 Cm. Researchers and clinicians can take advantage of these results in order for nanotechnology to make an impact in the diagnosis and treatment of malignancy. Furthermore the proposed model for magnetic nanoparticles can be used in improvement of drug delivery, cancer detection, diagnosis, imaging, and therapy while reducing toxicity.

Journal

Advances in Microelectronic Engineering – Science and Engineering Publishing Company

Published: Jul 1, 2013

Keywords: Nanoparticles; Landau–Lifshitz Gilbert; Received Signal Strength Localization; Bloch equation; Finite Element Method; Partial Differential Equations; Delaunay Algorithm; Galerkin Method

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