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Relative Motion Analysis using Rotating Axes

Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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Estimation of Contact Regions Between Hands and Objects During Human Multi-Digit Grasping

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Motion correction using an enhanced floating navigator and GRAPPA operations.

Wei Lin¹, Feng Huang, Peter Börnert

¹Invivo Corporation, Philips Healthcare, Gainesville, Florida 32608, USA. wei.lin2@philips.com

Magnetic Resonance in Medicine

|November 18, 2009

Summary

This study introduces an advanced motion correction method for multicoil MRI. The floating navigator technique detects and corrects translation, rotation, and inconsistent motion, improving image quality in challenging imaging scenarios.

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Area of Science:

Magnetic Resonance Imaging (MRI)
Medical Imaging
Image Reconstruction

Background:

Motion artifacts significantly degrade the quality of multicoil MRI data.
Existing motion correction methods may not adequately address complex motion types like rotation and inconsistency.
Accurate motion correction is crucial for reliable diagnosis and quantitative analysis in MRI.

Purpose of the Study:

To present an enhanced motion correction method for multicoil MRI applications.
To improve the detection and correction of translational, rotational, and inconsistent motion.
To enable robust image reconstruction from motion-corrupted datasets.

Main Methods:

The floating navigator method was adapted to acquire off-center k-space data for motion detection.
A correlation measure was used to compare navigator data with reference k-space regions.
Generalized autocalibrating partially parallel acquisition (GAPPS) was extended to correct fully sampled, motion-corrupted data.
GAPPS kernels were utilized to extrapolate readout lines, reconstruct k-space, and correct for rotational motion.

Main Results:

The developed method successfully detected translational, rotational, and inconsistent motion.
Severe motion artifacts were corrected in phantom and in vivo turbo spin-echo imaging experiments.
Regenerated full k-space data facilitated subsequent motion correction and data weighting.

Conclusions:

The enhanced floating navigator and GAPPS approach provides effective motion correction in multicoil MRI.
This technique improves image quality and reliability, particularly in the presence of significant motion.
The method holds promise for reducing artifacts and enhancing diagnostic accuracy in clinical MRI.