This is a renewal application for 1R01 DA21146-01, a Bioengineering Research Partnership (BRP) to develop real-time prospective motion correction (PMC) for MRI. Magnetic resonance imaging (MRI) is a powerful technique for assessing the structure, function, and physiology of the human brain in vivo. MRI affords high spatial and temporal resolution, is non-invasive and repeatable, and may be performed in children. However, motion continues to be a substantial problem in many MR studies, especially those performed in children, infants, or subjects who are agitated or confused due to anxiety, drug use or sickness, resulting in data with motion artifacts that may prevent accurate diagnoses or assessments. Prospective motion correction can dramatically attenuate motion artifacts by dynamically tracking the motion of the head/brain during a scan, and continuously correcting acquisitions such that they are locked relative to the moving brain. In the initial project period, we made substantial progress in developing optical-based motion tracking and correction for MRI. While the initial prototype system performs well for relatively small and slow movements, the system may fail to sufficiently attenuate motion artifacts during clinically relevant motions (larger amplitudes and higher speed). The proposed competitive renewal will focus on resolving these issues, with the following specific Aims. (1) Improve robustness of motion correction with optical tracking. (2) Develop techniques for motion correction at higher velocities (up to 100mm/s and /s), and implement these methods for a set of clinically relevant sequences. (3) Develop reconstruction techniques for data acquired during head motion. (4) Demonstrate clinical efficacy and utility of the motion correction methods developed. The work will be performed by an experienced team of investigators with a track record of collaboration, using modern 3T and 7T scanners. Implementing these innovations will increase the availability of adaptive motion correction technologies for the clinical arena, and promise improved and more robust MR scans in children and patients who have difficulty holding still, both in research and clinical settings.

Public Health Relevance

Magnetic resonance imaging (MRI) is a powerful technique for assessing structure, function, and physiology of the human brain in vivo, but head motion continues to be a substantial problem, especially in children, infants, or subjects who are agitated or confused, including drug users. During the first project period, we have made tremendous progress towards developing a prospective motion correction system for MRI, and developed a prototype system that is installed at 3 study sites and can correct the effects of relatively slow and small head movements. In the renewal application, we will move from the current prototype to a second generation motion correction system that works in a clinical environment. Specifically, we intend to 1) extend the range and speed of movements that can be corrected into the clinically relevant range, 2) improve the robustness of the method, and 3) perform a clinical validation of the new methods in children and in-patients.

National Institute of Health (NIH)
Research Project (R01)
Project #
Application #
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Grant, Steven J
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Hawaii
Internal Medicine/Medicine
Schools of Medicine
United States
Zip Code
Yarach, Uten; Luengviriya, Chaiya; Stucht, Daniel et al. (2016) Correction of B 0-induced geometric distortion variations in prospective motion correction for 7T MRI. MAGMA 29:319-32
Zaitsev, Maxim; Akin, Burak; LeVan, Pierre et al. (2016) Prospective motion correction in functional MRI. Neuroimage :
Zahneisen, Benjamin; Ernst, Thomas (2016) Homogeneous coordinates in motion correction. Magn Reson Med 75:274-9
Zahneisen, Benjamin; Keating, Brian; Singh, Aditya et al. (2016) Reverse retrospective motion correction. Magn Reson Med 75:2341-9
Godenschweger, F; Kägebein, U; Stucht, D et al. (2016) Motion correction in MRI of the brain. Phys Med Biol 61:R32-56
Zaitsev, Maxim; Maclaren, Julian; Herbst, Michael (2015) Motion artifacts in MRI: A complex problem with many partial solutions. J Magn Reson Imaging 42:887-901
Yarach, Uten; Luengviriya, Chaiya; Danishad, Appu et al. (2015) Correction of gradient nonlinearity artifacts in prospective motion correction for 7T MRI. Magn Reson Med 73:1562-9
Herbst, Michael; Zahneisen, Benjamin; Knowles, Benjamin et al. (2015) Prospective motion correction of segmented diffusion weighted EPI. Magn Reson Med 74:1675-81
Gumus, Kazim; Keating, Brian; White, Nathan et al. (2015) Comparison of optical and MR-based tracking. Magn Reson Med 74:894-902
Zahneisen, Benjamin; Ernst, Thomas; Poser, Benedikt A (2015) SENSE and simultaneous multislice imaging. Magn Reson Med 74:1356-62

Showing the most recent 10 out of 31 publications