4.5 Article

PROMO: Real-Time Prospective Motion Correction in MRI Using Image-Based Tracking

Journal

MAGNETIC RESONANCE IN MEDICINE
Volume 63, Issue 1, Pages 91-105

Publisher

WILEY
DOI: 10.1002/mrm.22176

Keywords

motion artifact; motion correction; Kalman filter; real-time; rigid-body; navigator

Funding

  1. National Institutes of Health [1R01AG031224, 1U01AG024904-02, 5 U24 RR021382-04, U54 NS056883-01]
  2. GE Healthcare Inc.
  3. NATIONAL CENTER FOR RESEARCH RESOURCES [U24RR021382] Funding Source: NIH RePORTER
  4. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [U54NS056883] Funding Source: NIH RePORTER
  5. NATIONAL INSTITUTE ON AGING [R01AG031224, U01AG024904] Funding Source: NIH RePORTER

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Artifacts caused by patient motion during scanning remain a serious problem in most MRI applications. The prospective motion correction technique attempts to address this problem at its source by keeping the measurement coordinate system fixed with respect to the patient throughout the entire scan process. In this study, a new image-based approach for prospective motion correction is described, which utilizes three orthogonal two-dimensional spiral navigator acquisitions, along with a flexible image-based tracking method based on the extended Kalman filter algorithm for online motion measurement. The spiral navigator/extended Kalman filter framework offers the advantages of image-domain tracking within patient-specific regions-of-interest and reduced sensitivity to off-resonance-induced corruption of rigid-body motion estimates. The performance of the method was tested using off line computer simulations and online in vivo head motion experiments. In vivo validation results covering a broad range of staged head motions indicate a steady-state error of less than 10% of the motion magnitude, even for large compound motions that included rotations over 15 deg. A preliminary in vivo application in three-dimensional inversion recovery spoiled gradient echo (IR-SPGR) and three-dimensional fast spin echo (FSE) sequences demonstrates the effectiveness of the spiral navigator/extended Kalman filter framework for correcting three-dimensional rigid-body head motion artifacts prospectively in high-resolution three-dimensional MRI scans. Magn Reson Med 63:91-105, 2010. (C) 2009 Wiley-Liss, Inc.

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