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White-marker imaging--separating magnetic susceptibility effects from partial volume effects.

Jan-Henry Seppenwoolde¹, Koen L Vincken, Chris J G Bakker

¹Image Sciences Institute, University Medical Center Utrecht, Department of Radiology, The Netherlands. janhenry@isi.uu.nl

Magnetic Resonance in Medicine

|July 14, 2007

Summary

This study introduces a new method to eliminate partial volume (PV) effects in white-marker imaging. This technique improves the visualization of magnetically labeled cells by removing signal variations caused by PV effects.

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Area of Science:

Magnetic Resonance Imaging
Biomedical Engineering
Medical Physics

Background:

White-marker imaging visualizes local magnetic field inhomogeneities, like those from magnetically labeled cells.
Partial volume (PV) effects can create subvoxel signal variations, potentially obscuring magnetic structures in white-marker imaging.

Purpose of the Study:

To present a strategy for eliminating partial volume (PV) effects in white-marker imaging.
To improve the accuracy and clarity of visualizing magnetic structures, such as magnetically labeled cells.

Main Methods:

Developed a strategy utilizing the asymmetry of signal response curves to differentiate and eliminate PV effects.
Applied subtraction of symmetrical signal responses to cancel out contributions from PV effects.
Conducted in vitro experiments using a phantom and in vivo brain imaging.

Main Results:

Successfully eliminated PV effects in in vitro experimental images.
Demonstrated virtual absence of PV effects in in vivo brain imaging, including areas with susceptibility effects and the circle of Willis.
Validated the strategy's effectiveness in real-world imaging conditions.

Conclusions:

The proposed strategy effectively eliminates partial volume effects in white-marker imaging.
This method enhances the reliable visualization of magnetic structures, crucial for applications like cell tracking.
The findings pave the way for more precise diagnostic and research applications using white-marker imaging.