Lattice permutation for reducing motion artifacts in radial and spiral dynamic imaging

Area of Science:

• Medical Imaging
• Image Reconstruction
• Signal Processing

Background:

• Dynamic imaging using radial and spiral trajectories can suffer from artifacts due to changing image content during acquisition.
• These inconsistencies in k-space data manifest as streaks or spiral artifacts, degrading image quality.

Purpose of the Study:

• To introduce lattice permutation as a novel method for reordering k-space data segments.
• To suppress artifacts in dynamic imaging by manipulating the alias pattern along the temporal frequency axis.

Main Methods:

• Proposed lattice permutation for reordering k-space data segments.
• Applied the method to sliding window reconstruction and demonstrated its compatibility with more advanced techniques.
• Analyzed the redistribution of signal energies along the temporal frequency axis.

Main Results:

• Lattice permutation effectively reduces streak and spiral artifacts without increasing scan time.
• The method displaces aliased signals from low to high temporal frequencies, where they are attenuated.
• Achieved artifact suppression comparable to bit-reversed ordering but with fewer restrictions.

Conclusions:

• Lattice permutation is a powerful and flexible technique for artifact suppression in dynamic imaging.
• Offers precise control over the alias pattern, enhancing image quality in applications like real-time cardiac imaging.