The broad objective of this research is to develop effective and efficient methods for suppressing motion artifacts in magnetic resonance imaging (MRI). A k-space time approach is proposed to allow systematic tracking of motion effects during image acquisition and to design effective methods for reducing motion effects in image data.
The specific aims are: 1) Develop accurate motion measurement and correction; 2) Optimize view ordering; 3) Develop integrated methods to reduce effects of one-variable motion; and 4) Develop integrated methods to reduce effects of multi-variable motion. Motion artifacts are the most important factor limiting image quality in many MRI studies including cardiac MRI. Ghosting effects of motion have been fairly successfully suppressed with a combination of techniques, yet suppression of motion blurring continues to be elusive, limiting image resolution. This research develops the navigator strategy to reduce motion blurring. Complex physiological motions are decomposed into the global and local motion. Efficient k-space orbits sensitizing multiple components of the global motion are designed for navigator acquisition. The image effects of the global motion are measured and corrected using navigator echoes. The effects of the local motion are reduced through view ordering and gating. Correction, gating, and view ordering are synergistically integrated into image acquisition, overcoming their individual limitations and combining their individual advantages. This integrated approach will substantially improve both the effectiveness and efficiency of motion suppression in MRI. The developed motion suppression methods will be evaluated in coronary MR angiography for suppressing cardiac motion effects, respiratory motion effects, and both cardiac and respiratory motion effects simultaneously. Successful development of this research will result in motion resistant, high resolution, 3D coronary MR angiography.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
7R01HL064647-04
Application #
6790643
Study Section
Diagnostic Imaging Study Section (DMG)
Program Officer
Buxton, Denis B
Project Start
2001-08-15
Project End
2007-07-31
Budget Start
2004-09-15
Budget End
2007-07-31
Support Year
4
Fiscal Year
2004
Total Cost
$336,000
Indirect Cost
Name
Weill Medical College of Cornell University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
060217502
City
New York
State
NY
Country
United States
Zip Code
10065
Cooper, Mitchell A; Nguyen, Thanh D; Spincemaille, Pascal et al. (2014) How accurate is MOLLI T1 mapping in vivo? Validation by spin echo methods. PLoS One 9:e107327
Liu, Jing; Nguyen, Thanh D; Zhu, Yanchun et al. (2014) Self-gated free-breathing 3D coronary CINE imaging with simultaneous water and fat visualization. PLoS One 9:e89315
Kawaji, Keigo; Spincemaille, Pascal; Nguyen, Thanh D et al. (2014) Direct coronary motion extraction from a 2D fat image navigator for prospectively gated coronary MR angiography. Magn Reson Med 71:599-607
Cooper, Mitchell A; Nguyen, Thanh D; Spincemaille, Pascal et al. (2012) Flip angle profile correction for T? and T? quantification with look-locker inversion recovery 2D steady-state free precession imaging. Magn Reson Med 68:1579-85
Spincemaille, Pascal; Liu, Jing; Nguyen, Thanh et al. (2011) Z intensity-weighted position self-respiratory gating method for free-breathing 3D cardiac CINE imaging. Magn Reson Imaging 29:861-8
Codella, Noel C F; Spincemaille, Pascal; Prince, Martin et al. (2011) A radial self-calibrated (RASCAL) generalized autocalibrating partially parallel acquisition (GRAPPA) method using weight interpolation. NMR Biomed 24:844-54
Liu, Tian; Khalidov, Ildar; de Rochefort, Ludovic et al. (2011) A novel background field removal method for MRI using projection onto dipole fields (PDF). NMR Biomed 24:1129-36
Liu, Jing; Spincemaille, Pascal; Codella, Noel C F et al. (2010) Respiratory and cardiac self-gated free-breathing cardiac CINE imaging with multiecho 3D hybrid radial SSFP acquisition. Magn Reson Med 63:1230-7
Mendoza, Dorinna D; Codella, Noel C F; Wang, Yi et al. (2010) Impact of diastolic dysfunction severity on global left ventricular volumetric filling - assessment by automated segmentation of routine cine cardiovascular magnetic resonance. J Cardiovasc Magn Reson 12:46
Nguyen, Thanh D; de Rochefort, Ludovic; Spincemaille, Pascal et al. (2008) Effective motion-sensitizing magnetization preparation for black blood magnetic resonance imaging of the heart. J Magn Reson Imaging 28:1092-100

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