Prospective motion correction of high-resolution magnetic resonance imaging data in children

Abstract

Motion artifacts pose significant problems for the acquisition and analysis of high-resolution magnetic resonance imaging data. These artifacts can be particularly severe when studying pediatric populations, where greater patient movement reduces the ability to clearly view and reliably measure anatomy. In this study, we tested the effectiveness of a new prospective motion correction technique, called PROMO, as applied to making neuroanatomical measures in typically developing school-age children. This method attempts to address the problem of motion at its source by keeping the measurement coordinate system fixed with respect to the subject throughout image acquisition. The technique also performs automatic rescanning of images that were acquired during intervals of particularly severe motion. Unlike many previous techniques, this approach adjusts for both in-plane and through-plane movement, greatly reducing image artifacts without the need for additional equipment. Results show that the use of PROMO notably enhances subjective image quality, reduces errors in Freesurfer cortical surface reconstructions, and significantly improves the subcortical volumetric segmentation of brain structures. Further applications of PROMO for clinical and cognitive neuroscience are discussed.

Using Edge Voxel Information to Improve Motion Regression for rs-fMRI Connectivity Studies

“…While it is possible to prevent some in-scanner motion through the use of new MRI pulse sequences (Bright and Murphy, 2013;Brown et al, 2010;Kundu et al, 2013;Kuperman et al, 2011;Maclaren et al, 2013;Ooi et al, 2011;White et al, 2010), training on MRI simulators before scanning (Lueken et al, 2012;Raschle et al, 2009), or even the use of head restraints and other bite bars, most data collection either do not or cannot make use of these techniques and motion artifacts are still detectable in these rs-fMRI data.…”

Motion-Compensation Techniques in Neonatal and Fetal MR Imaging

“…Additionally, it allows automatic rescanning of data acquired under significant motion. It has been clinically tested in populations of school-aged children 72,73 (mean age, 10.7 years) who were advised to remain still during the scan and has successfully corrected for motion of more than a centimeter of translation and up to 15°of rotation from their original head position on T1-weighted inversion recovery volume acquisitions. It would be of interest to apply this technique in neonates and fetuses, in whom there is no patient compliance and motion can be of a scale greater than the anatomy of interest.…”

CHAPTER 16. Structural Magnetic Resonance Imaging Biomarkers in Neurodegenerative Disease

“…Post-acquisition mitigation of within-volume artifacts requires precise k-space interpolation and grid-readjustment to reconstruct the images accurately, 7-10 but still results in some degree of image blurring or distortion due to interpolation that can affect the ability to detect subtle differences. 11 Furthermore, these methods cannot correct for motion that occurs orthogonal to the plane of image acquisition (through-plane motion). 11 Prospective motion correction algorithms that modify the pulse-sequence during image acquisition to keep the coordinate system fixed with respect to the patient's head throughout the scan do not share these drawbacks, [12][13][14][15] but can substantially increase scan time.…”