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isoPhasor: a generic and precise marker visualization, localization, and quantification method based on phase saddles
Job G Bouwman1, Bram A Custers1, Chris J G Bakker1
1Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands.
This study presents a universal method for precisely locating and quantifying magnetic susceptibility markers in MRI scans. The technique enhances visualization and accuracy across various imaging sequences and strategies.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Biomedical Engineering
- Medical Physics
Background:
- Accurate localization and characterization of susceptibility markers are crucial in MRI.
- Existing methods often lack compatibility with diverse pulse sequences and acceleration techniques.
Purpose of the Study:
- To develop a generic approach for accurate localization and characterization of susceptibility markers in MRI.
- The method aims for compatibility with common pulse sequences, sampling trajectories, and acceleration methods.
Main Methods:
- Utilized the dipolar phase evolution of susceptibility markers, which creates three phase saddles in k-space.
- Developed a marker detection algorithm based on focusing signal from these saddles for positive contrast.
- Validated the method numerically and experimentally across various spherical susceptibility marker sizes and magnetic susceptibilities.
Main Results:
- Achieved an average localization error below one-third of the voxel size.
- Demonstrated an average magnetic strength quantification error of 7%.
- Successfully validated across diverse conditions including gradient echo, spin echo, free induction decay, Cartesian, radial, echo planar imaging (EPI), and turbo spin echo (TSE) sequences.
Conclusions:
- Spherical markers can be reliably identified using their characteristic phase saddles.
- The developed method enables clear visualization, precise localization, and accurate quantification of magnetic marker strength.
- The approach is broadly applicable to clinically relevant MRI pulse sequences and sampling strategies.
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