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Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

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Respiratory motion-corrected, compressively sampled dynamic MR image reconstruction by exploiting multiple sparsity

Faisal Najeeb¹, Muhammad Usman², Ibtisam Aslam³

¹Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan. faisal.86n@gmail.com.

Magma (New York, N.Y.)

|November 23, 2019

Summary

This study introduces a new method for free-breathing cardiac cine MRI, significantly reducing motion artifacts. The technique improves image quality, making cardiac MRI more accessible for patients unable to hold their breath.

Keywords:

CS L + S MC-CS cMRI dMRI pMRI

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3D Cine Magnetic Resonance Imaging of Respiratory Motion in Mechanically Ventilated Mice and Rats

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Published on: September 19, 2025

Area of Science:

Medical Imaging
Cardiovascular Imaging
Biomedical Engineering

Background:

Cardiac magnetic resonance imaging (cMRI) is essential for assessing heart function.
Respiratory motion during cMRI causes image blurring, hindering accurate diagnosis.
Breath-holding, a common solution, is challenging for many cardiac patients.

Purpose of the Study:

To develop an advanced reconstruction method for free-breathing cardiac cine MRI.
To overcome limitations of conventional breath-holding techniques.
To improve image quality and diagnostic accuracy in cardiac MRI.

Main Methods:

Incorporation of phase correlation-based binning and image registration-based sparsity into L+S reconstruction.
Application of spatio-temporal sparsity for enhanced motion correction.
Validation using clinical and simulated free-breathing cardiac cine MRI data with varying acceleration factors (AFs).

Main Results:

Successful reconstruction of motion-corrected images from free-breathing, compressed-sensing cardiac cine MRI data.
Significant improvements in artefact power (AP) and root-mean-square error (RMSE) at AF=4 (26% and 24%) and AF=8 (20% and 16.04%).
Demonstrated superior performance compared to contemporary motion-corrected compressed sensing (MC-CS) methods.

Conclusions:

The proposed method substantially enhances image quality in free-breathing cardiac cine MRI.
Achieved significant reductions in artefact power and RMSE across different acceleration factors.
Offers a promising alternative for cardiac MRI in patients unable to perform breath-holds.