K-space and image space combination for motion artifact correction in multicoil multishot diffusion weighted imaging

Area of Science:

• Medical Imaging
• Magnetic Resonance Imaging (MRI)

Background:

• Motion during diffusion encoding in multi-shot MRI acquisitions introduces phase errors.
• These phase differences lead to phase cancellation artifacts in reconstructed images.
• Direct phase correction methods are often incomplete due to aliasing from undersampled data.

Purpose of the Study:

• To introduce a novel method for motion artifact cancellation in MRI.
• To address the limitations of existing phase error correction techniques.
• To preserve object phase information crucial for parallel imaging.

Main Methods:

• Developed a k-space and image-space combination (KICT) method.
• The KICT method integrates data from both k-space and image space.
• The approach is designed to avoid incomplete phase error correction.

Main Results:

• The KICT method effectively cancels motion artifacts.
• The technique avoids the incomplete phase correction associated with direct subtraction methods.
• Crucially, the method preserves the phase of the object.

Conclusions:

• The KICT method offers a robust solution for motion artifact cancellation in multi-shot MRI.
• Preservation of phase information makes KICT valuable for parallel imaging applications.
• This technique improves the quality and reliability of diffusion-weighted images.