# Moving Table Magnetic Particle Imaging: A stepwise approach preserving   high spatio-temporal resolution

**Authors:** Patryk Szwargulski, Nadine Gdaniec, Matthias Graeser, Martin M\"oddel,, Florian Griese, Kannan M. Krishnan, Thorsten M. Buzug, Tobias Knopp

arXiv: 1812.04075 · 2018-12-12

## TL;DR

This paper presents a stepwise moving table approach in Magnetic Particle Imaging (MPI) that allows for larger fields of view while maintaining high spatio-temporal resolution, by reconstructing data from sequential object movements.

## Contribution

It introduces a novel stepwise object movement method in MPI that enables larger imaging volumes without sacrificing resolution, using data reordering and joint reconstruction techniques.

## Key findings

- Successful reconstruction of 3D phantom data with extended field of view.
- Effective joint reconstruction from moving table data in vivo.
- Maintained high spatio-temporal resolution during object movement.

## Abstract

Magnetic Particle Imaging (MPI) is a highly sensitive imaging method that enables the visualization of magnetic tracer materials with a temporal resolution of more than 46 volumes per second. In MPI the size of the field of view scales with the strengths of the applied magnetic fields. In clinical applications those strengths are limited by peripheral nerve stimulation, specific absorption rates, and the requirement to acquire images of high spatial resolution. Therefore, the size of the field of view is usually a few cubic centimeters. To bypass this limitation, additional focus fields and/or external object movements can be applied. In this work, the latter approach is investigated. An object is moved through the scanner bore one step at a time, while the MPI scanner continuously acquires data from its static field of view. Using a 3D phantom and dynamic 3D in vivo data it is shown that the data from such a moving table experiment can be jointly reconstructed after reordering the data with respect to the stepwise object shifts and heart beat phases.

## Full text

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## Figures

9 figures with captions in the complete paper: https://tomesphere.com/paper/1812.04075/full.md

## References

48 references — full list in the complete paper: https://tomesphere.com/paper/1812.04075/full.md

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Source: https://tomesphere.com/paper/1812.04075