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Related Experiment Video

Updated: Apr 26, 2026

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

Improved SENSE imaging using accurate coil sensitivity maps generated by a global magnitude-phase fitting method.

Ya-Jun Ma^1,2, Wentao Liu^1,2, Xin Tang^1,2

¹Beijing City Key Lab for Medical Physics and Engineering, Institute of Heavy Ion Physics, School of Physics, Peking University, Beijing, China.

Magnetic Resonance in Medicine

|July 22, 2014

Summary

A new method improves parallel imaging (SENSE) by accurately fitting coil sensitivity maps globally, significantly reducing aliasing artifacts and enhancing image quality in MRI scans.

Keywords:

coil sensitivity profile magnitude parallel imaging phase

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Area of Science:

Magnetic Resonance Imaging
Medical Imaging Physics

Background:

Parallel imaging techniques like SENSE accelerate MRI acquisition.
Aliasing artifacts and noise amplification are common challenges in SENSE reconstruction.
Accurate coil sensitivity maps are crucial for effective SENSE performance.

Purpose of the Study:

To develop an advanced coil sensitivity processing technique for SENSE.
To mitigate aliasing artifacts and noise amplification in SENSE imaging.
To enhance the quality of parallel imaging reconstructions.

Main Methods:

Coil sensitivity maps were initially derived using self-calibration from center k-space lines.
Continuous trigonometric functions were employed for global fitting of magnitude and phase maps.
The globally fitted sensitivity maps were utilized for SENSE reconstruction.
The novel global fitting approach was compared against traditional local fitting methods through simulations and experiments.

Main Results:

The proposed global fitting method accurately estimated coil sensitivity profiles without Gibbs oscillations.
Substantial reduction in aliasing imaging artifacts was observed in the reconstructed SENSE images.
Experimental results on phantoms and human subjects validated the effectiveness of the method.

Conclusions:

A novel global magnitude-phase fitting method for coil sensitivity estimation was successfully developed.
This method significantly improved the quality of parallel MRI images.
The technique offers a robust solution for producing high-quality SENSE reconstructions.