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Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

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Unwrapping phase contrast MRI by iterative graph cuts.

Johan Berglund^1,2, Mio Liljeblad¹, Tomasz Baron^3,4

¹Medical Physics, Uppsala University Hospital, Uppsala, Sweden.

Magnetic Resonance in Medicine

|May 10, 2024

Summary

This summary is machine-generated.

A new Iterative Graph Cuts method accurately unwraps cine phase contrast MRI (CPCMRI) flow quantification, showing improved performance over existing methods for cardiac patients. Spatiotemporal unwrapping with magnitude information is recommended for precise blood velocity measurements.

Keywords:

anti‐aliasing cardiac MR flow quantification graph cuts phase unwrapping

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Area of Science:

Medical Imaging
Cardiovascular MRI
Image Processing

Background:

Phase contrast MRI (PC-MRI) is crucial for cardiovascular flow quantification.
Phase wrapping artifacts in PC-MRI can lead to inaccurate blood flow measurements.
Accurate phase unwrapping is essential for reliable clinical applications of PC-MRI.

Purpose of the Study:

To develop and evaluate a novel phase unwrapping algorithm for cine PC-MRI.
The proposed method is based on iterative graph cuts for improved accuracy.
To compare the performance against existing unwrapping techniques like ROMEO and LP.

Main Methods:

An Iterative Graph Cuts (IGC) method was developed for phase unwrapping.
The IGC method was evaluated in 10 cardiac patients using 2D flow quantification.
Comparisons were made with path-following (ROMEO) and Laplacian-based (LP) methods at various velocity settings (VENC).

Main Results:

IGC achieved a low absolute net flow error of 1.8 mL at 100 cm/s VENC, outperforming LP.
At 50 cm/s VENC, IGC showed significantly lower errors compared to ROMEO and LP.
Retrospective testing demonstrated minimal residual wrapped voxels (0.00-0.79%) with IGC, especially when using magnitude information and spatiotemporal unwrapping.

Conclusions:

Iterative Graph Cuts is an effective method for unwrapping cine PC-MRI, yielding minimal errors.
The method performs comparably or better than ROMEO and LP, particularly at lower VENC.
Utilizing magnitude information and spatiotemporal unwrapping is recommended for optimal results in phase unwrapping.