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Improved self-calibrated spiral parallel imaging using JSENSE.

Jinhua Sheng¹, Erik Wiener, Bo Liu

¹Department of Electrical Engineering and Computer Science, University of Wisconsin, Milwaukee, 3200N. Cramer Street, Milwaukee, WI 53211, United States.

Medical Engineering & Physics

|November 26, 2008

Summary

This summary is machine-generated.

JSENSE improves Magnetic Resonance Imaging (MRI) for spiral trajectories by jointly reconstructing coil sensitivities and images. This enhances accuracy in dynamic imaging applications like fMRI and cardiac imaging.

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Area of Science:

Medical Imaging
Magnetic Resonance Imaging (MRI)
Image Reconstruction

Background:

Spiral MRI offers faster acquisition and reduced gradient demands compared to Cartesian MRI.
Parallel imaging with spiral trajectories is valuable for dynamic applications (fMRI, cardiac imaging) due to self-calibration.
Current self-calibration methods for spiral MRI yield insufficient accuracy for SENSE reconstruction due to data truncation.

Purpose of the Study:

To extend the JSENSE algorithm, previously successful in Cartesian MRI, to spiral MRI trajectories.
To improve the accuracy of coil sensitivity estimation and subsequent SENSE reconstruction in spiral MRI.
To validate the effectiveness of the extended JSENSE for spiral trajectories using phantom and in vivo data.

Main Methods:

Jointly reconstructing coil sensitivities and the desired image using alternating optimization.
Extending the JSENSE algorithm from Cartesian to spiral MRI trajectories.
Utilizing dense central spiral data for improved sensitivity estimation.

Main Results:

The extended JSENSE algorithm demonstrated improved accuracy in coil sensitivity estimation for spiral trajectories.
Enhanced sensitivities led to more accurate SENSE reconstructions.
Successful validation on both phantom and in vivo datasets confirmed the method's effectiveness.

Conclusions:

The extended JSENSE algorithm effectively improves SENSE reconstruction accuracy for spiral MRI.
This method enhances dynamic imaging applications by providing more reliable coil sensitivity maps.
JSENSE offers a robust solution for accurate image reconstruction in accelerated spiral MRI acquisitions.