Magnetic field interpolation for remote magnetic navigation in minimally invasive surgery


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Date

2022

Publication Type

Book Chapter

ETH Bibliography

yes

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Abstract

Interpolation of magnetic field data can be used to model the fields generated by magnetic navigation system (MNS) for applications in medical robotics. Prediction of magnetic fields is required for the control of magnetically navigated tools at arbitrary positions in the workspace of an MNS. In this chapter, various interpolation methods are detailed and compared. The methods are divided into structured grid interpolation ones that perform interpolation on data located on regular grids using polynomial interpolation, and unstructured radial basis function-based ones, for which the data can be placed at arbitrary positions. This chapter also compares methods that are physically consistent ones, in that they attempt to obey physical constraints that are inherent to the magnetic fields, to methods that are unconstrained. Methods are compared based on their ability to predict magnetic field vectors and magnetic field gradient matrices at unmeasured locations using several numerical metrics, on a synthetic dataset representing fields generated by an MNS.

Publication status

published

Book title

Magnetic Materials and Technologies for Medical Applications

Volume

Pages / Article No.

397 - 424

Publisher

Woodhead Publishing

Event

Edition / version

Methods

Software

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Date collected

Date created

Subject

Magnetic field; magnetic navigation system; interpolation; Radial basis functions; remote magnetic navigation; magnetic navigation

Organisational unit

03627 - Nelson, Bradley J. / Nelson, Bradley J. check_circle

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