Bimodal MRI/MPI Fiducial Markers

In this project we develop bimodal fiducial markers for magnetic resonance and magnetic particle imaging to perform positioning within MPI experiments and to register and fuse images of both modalities.

Compared to most other medical imaging techniques MPI only visualizes an applied tracer without additional morphological information. However, this information is crucial for the interpretation of magnetic particle images and the positioning of objects within the MPI scanner.

Our bimodal fiducial markers provide visual landmarks in MP and MR images. These landmarks can be used as points of reference to perform faithful positioning within the MPI scanner prior to MPI experiments. Furthermore, they can be used for an automated image registration and fusion.

Members

Grants

This project was funded by the FMTHH (grant number 01fmthh15)

 

Publications

Publications

[77642]
Title: Submillimeter-Accurate Marker Localization within Low Gradient Magnetic Particle Imaging Tomograms.
Written by: F. Griese, T. Knopp, R. Werner, A. Schlaefer, and M. Möddel
in: <em>International Journal on Magnetic Particle Imaging</em>. (2017).
Volume: <strong>3</strong>. Number: (1),
on pages:
Chapter:
Editor:
Publisher:
Series:
Address:
Edition:
ISBN:
how published:
Organization:
School:
Institution:
Type:
DOI:
URL: https://journal.iwmpi.org/index.php/iwmpi/article/view/103
ARXIVID:
PMID:

[www]

Note: article, fiducial, openaccess

Abstract: Magnetic Particle Imaging (MPI) achieves a high temporal resolution, which opens up a wide range of real-time medical applications such as device tracking and navigation. These applications usually rely on automated techniques for finding and localizing devices and fiducial markers in medical images. In this work, we show that submillimeter-accurate automatic marker localization from low gradient MPI tomograms with a spatial resolution of several millimeters is possible. Markers are initially identified within the tomograms by a thresholding-based segmentation algorithm. Subsequently, their positions are accurately determined by calculating the center of mass of the gray values inside the pre-segmented regions. A series of phantom measurements taken at full temporal resolution (46 Hz) is used to analyze statistical and systematical errors and to discuss the performance and stability of the automatic submillimeter-accurate marker localization algorithm.