Multiple overlapping k-space junctions for investigating translating objects (MOJITO).

Area of Science:

• Magnetic Resonance Imaging (MRI)
• Medical Physics
• Image Reconstruction

Background:

• Rigid body translational motion in MRI causes linear phase accumulation in k-space.
• Motion artifacts degrade image quality and diagnostic accuracy.
• Existing methods like navigator echoes have limitations.

Purpose of the Study:

• To introduce and validate MOJITO (Multiple Overlapping k-space Junctions for Investigating Translating Objects), a new motion correction scheme for MRI.
• To demonstrate MOJITO's ability to detect and correct 2-D translational motion artifacts.
• To highlight MOJITO's advantages over traditional navigator echo techniques.

Main Methods:

• MOJITO utilizes phase differences at k-space trajectory intersections to detect and correct motion.
• The BOWTIE continuous sampling trajectory was employed for its numerous intersections.
• Simulations and MR experiments were conducted to validate the technique.

Main Results:

• MOJITO successfully detects and corrects 2-D rigid body translational motion artifacts.
• The method was validated in simulations, including scenarios with noise and off-resonance effects.
• MOJITO leverages k-space data from a broader region and uses repeated data for reconstruction.

Conclusions:

• MOJITO presents a promising, efficient, and self-navigating approach for motion correction in MRI.
• The technique offers potential advantages over navigator echoes by not requiring repeating k-space paths.
• MOJITO demonstrates robustness against noise and off-resonance effects, enhancing its practical applicability.