PROMO – Real-time Prospective Motion Correction in MRI using Image-based Tracking

By Nathan S. White, C. Roddey, A. Shankaranarayanan, E. Han, D. Rettmann, Juan M. Santos, J. Kuperman, A. M. Dale. Magnetic Resonance in Medicine, 2010

399 citations recorded by the source corpus.

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 offline 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, 2010. © 2009 Wiley‐Liss, Inc.

Subfields: Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/ada61b51dec9afe5455b30e54956d65b95754f3c

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Citations in the corpus

Volumetric Navigators (vNavs) for Prospective Motion Correction and Selective Reacquisition in Neuroanatomical MRI (2011, methodology): “The system we have presented and evaluated shares many design decisions with the previously published PROMO method (10,11): we use an image-based navigator, update the imaging coordinates during dead-time in the parent sequences, and can reacquire motion-damaged TRs at the end of the scan.”
Head motion during MRI acquisition reduces gray matter volume and thickness estimates (2015, positive): “Alternatively, methods that prospectively correct for motion during image acquisition by continuously localizing and following head position throughout the scan show promise in improving image quality and mitigating motion artifacts [29,31].”
Real-time Deep Pose Estimation with Geodesic Loss for Image-to-Template Rigid Registration (2018, neutral): “fetal MRI [26], [30], and motion-robust MRI [31], [32], [33], [34].”
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study (2018, background): “, 2012)) and General Electric (GE; using prospective motion (PROMO) sequences (White et al., 2010)) and will soon be implemented”
Methods for cleaning the BOLD fMRI signal (2016, neutral): “…al., 2014; Speck et al., 2006; Todd et al., 2015) or the use of dedicated sequences with navigators echoes or active markers (Hu and Kim, 1994; Lee et al., 1996; Muraskin et al., 2013; Pfeuffer et al., 2002; White et al., 2010) can be useful for prospective motion correction (Zaitsev et al., 2016).”
A Comprehensive Assessment of Regional Variation in the Impact of Head Micromovements on Functional Connectomics (2013, neutral): “Most promising is the proposed development of MRI acquisition strategies that are robust tomotion—which already exist for structural imaging (Brown et al., 2010; Kuperman et al., 2011; White et al., 2010) and are under development for functional imaging (Maclaren et al.”
Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project (2013, methodology): “…Motion Correction (PMC) approaches for interscan (i.e. between acquisitions of volume of interest) (Aksoy et al., 2011; Kober et al., 2011, 2012; White et al., 2010; Zaitsev et al., 2006), or intrascan (i.e. during acquisition of the volume of interest) (Herbst et al., 2012) motion would…”
Prospective motion correction in brain imaging: A review (2013, methodology): “Recent examples used for motion correction include navigators operating in k-space, such as cloverleaf navigators (41), orbital navigators (42,43), and spherical navigators (44) as well as image-based navigators, such as PROMO (45) or EPI navigators (46,47). k-Space navigators repeatedly sample part”