A microrobot for endovascular aneurysm treatment steered and visualized with MPI

A. C. Bakenecker; A. Von Gladiss; H. Schwenke; A. Behrends; T. Friedrich; K. Lüdtke-Buzug; A. Neumann; J. Barkhausen; F. Wegner

doi:10.18416/ijmpi.2022.2203002

A microrobot for endovascular aneurysm treatment steered and visualized with MPI

A. C. Bakenecker^*, A. Von Gladiss, H. Schwenke, A. Behrends, T. Friedrich, K. Lüdtke-Buzug, A. Neumann, J. Barkhausen, F. Wegner

^*Corresponding author for this work

Abstract

The steering of microrobots by using magnetic fields offers applications for minimally invasive surgery or forestablishing drug delivery scenarios. On the one hand, magnetic particle imaging (MPI) offers a tomographic, realtime visualization of the used magnetic microrobots. On the other hand, an MPI scanner can apply magnetic fields, which a microrobot can be steered with. Hence, MPI is of great interest for realizing the tracking and navigation of microrobots. Here, we show that a microrobot, which has been coated with superparamagnetic iron oxide nanoparticles (SPIONs) can be steered through a patient specific phantom of the middle cerebral artery into an aneurysm, where it should occlude the aneurysm and can be potentially used for a triggered drug release or a hyperthermia treatment. The acquired MPI images show that a tracking accuracy of 0.68mmis achieved.

Original language	English
Article number	2203002
Journal	International Journal on Magnetic Particle Imaging
Volume	8
Issue number	1
ISSN	2365-9033
DOIs	https://doi.org/10.18416/ijmpi.2022.2203002
Publication status	Published - 2022

Funding

Research funding: Fraunhofer IMTE is supported by the EU (EFRE) and the State Schleswig-Holstein, Germany (Project: Diagnostic and therapy methods for Individualized Medical Technology (IMTE) – Grant: 124 20 002 / LPW-E1.1.1/1536). Further, the authors gratefully acknowledge the Federal Ministry of Education and Research, Germany (BMBF) for funding this project

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

Research Areas and Centers

Academic Focus: Biomedical Engineering

DFG Research Classification Scheme

2.22-30 Radiology
2.22-32 Medical Physics, Biomedical Technology

Access to Document

10.18416/ijmpi.2022.2203002

Cite this

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title = "A microrobot for endovascular aneurysm treatment steered and visualized with MPI",

abstract = "The steering of microrobots by using magnetic fields offers applications for minimally invasive surgery or forestablishing drug delivery scenarios. On the one hand, magnetic particle imaging (MPI) offers a tomographic, realtime visualization of the used magnetic microrobots. On the other hand, an MPI scanner can apply magnetic fields, which a microrobot can be steered with. Hence, MPI is of great interest for realizing the tracking and navigation of microrobots. Here, we show that a microrobot, which has been coated with superparamagnetic iron oxide nanoparticles (SPIONs) can be steered through a patient specific phantom of the middle cerebral artery into an aneurysm, where it should occlude the aneurysm and can be potentially used for a triggered drug release or a hyperthermia treatment. The acquired MPI images show that a tracking accuracy of 0.68mmis achieved.",

author = "Bakenecker, \{A. C.\} and \{Von Gladiss\}, A. and H. Schwenke and A. Behrends and T. Friedrich and K. L{\"u}dtke-Buzug and A. Neumann and J. Barkhausen and F. Wegner",

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year = "2022",

doi = "10.18416/ijmpi.2022.2203002",

language = "English",

volume = "8",

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T1 - A microrobot for endovascular aneurysm treatment steered and visualized with MPI

AU - Bakenecker, A. C.

AU - Von Gladiss, A.

AU - Schwenke, H.

AU - Behrends, A.

AU - Friedrich, T.

AU - Lüdtke-Buzug, K.

AU - Neumann, A.

AU - Barkhausen, J.

AU - Wegner, F.

PY - 2022

Y1 - 2022

N2 - The steering of microrobots by using magnetic fields offers applications for minimally invasive surgery or forestablishing drug delivery scenarios. On the one hand, magnetic particle imaging (MPI) offers a tomographic, realtime visualization of the used magnetic microrobots. On the other hand, an MPI scanner can apply magnetic fields, which a microrobot can be steered with. Hence, MPI is of great interest for realizing the tracking and navigation of microrobots. Here, we show that a microrobot, which has been coated with superparamagnetic iron oxide nanoparticles (SPIONs) can be steered through a patient specific phantom of the middle cerebral artery into an aneurysm, where it should occlude the aneurysm and can be potentially used for a triggered drug release or a hyperthermia treatment. The acquired MPI images show that a tracking accuracy of 0.68mmis achieved.

AB - The steering of microrobots by using magnetic fields offers applications for minimally invasive surgery or forestablishing drug delivery scenarios. On the one hand, magnetic particle imaging (MPI) offers a tomographic, realtime visualization of the used magnetic microrobots. On the other hand, an MPI scanner can apply magnetic fields, which a microrobot can be steered with. Hence, MPI is of great interest for realizing the tracking and navigation of microrobots. Here, we show that a microrobot, which has been coated with superparamagnetic iron oxide nanoparticles (SPIONs) can be steered through a patient specific phantom of the middle cerebral artery into an aneurysm, where it should occlude the aneurysm and can be potentially used for a triggered drug release or a hyperthermia treatment. The acquired MPI images show that a tracking accuracy of 0.68mmis achieved.

UR - https://www.scopus.com/pages/publications/85132017594

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DO - 10.18416/ijmpi.2022.2203002

M3 - Journal articles

AN - SCOPUS:85132017594

SN - 2365-9033

VL - 8

JO - International Journal on Magnetic Particle Imaging

JF - International Journal on Magnetic Particle Imaging

IS - 1

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ER -

A microrobot for endovascular aneurysm treatment steered and visualized with MPI

Abstract

Funding

UN SDGs

Research Areas and Centers

DFG Research Classification Scheme

Access to Document

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