Volumetric Navigators (vNavs) for Prospective Motion Correction and Selective Reacquisition in Neuroanatomical MRI

By M. Dylan Tisdall, Aaron T. Hess, Martin Reuter, Ernesta M. Meintjes, Bruce Fischl, A. V. D. van der Kouwe. Magnetic Resonance in Medicine, 2011

444 citations recorded by the source corpus.

We introduce a novel method of prospectively compensating for subject motion in neuroanatomical imaging. Short three‐dimensional echo‐planar imaging volumetric navigators are embedded in a long three‐dimensional sequence, and the resulting image volumes are registered to provide an estimate of the subject's location in the scanner at a cost of less than 500 ms, ∼ 1% change in contrast, and ∼3% change in intensity. This time fits well into the existing gaps in sequences routinely used for neuroimaging, thus giving a motion‐corrected sequence with no extra time required. We also demonstrate motion‐driven selective reacquisition of k‐space to further compensate for subject motion. We perform multiple validation experiments to evaluate accuracy, navigator impact on tissue intensity/contrast, and the improvement in final output. The complete system operates without adding additional hardware to the scanner and requires no external calibration, making it suitable for high‐throughput environments. Magn Reson Med, 2012. © 2011 Wiley Periodicals, Inc.

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

View Paper: https://www.semanticscholar.org/paper/7b5f3d4b3e4bef50818a96db82566c16a3633a27

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Citations in the corpus

Prospective motion correction in brain imaging: A review (2013, background): “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).”
Image processing and analysis methods for the Adolescent Brain Cognitive Development Study (2018, methodology): “(Tisdall et al., 2012)) and General Electric (GE; using prospective motion (PROMO) sequences (White et al.”
The Lifespan Human Connectome Project in Development: A large-scale study of brain connectivity development in 5–21 year olds (2018, unknown): “The losses are half as large as gains in accordance with prior work indicating that losses are over-weighted in human valuation processes (Tversky and Kahneman, 1991).”
The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites (2018, unknown): “, 2010), Volumetric Navigators (vNav) for prospective motion correction and selective reacquisition on the Siemens and when available on the Philips platform (Tisdall et al., 2012).”
Quantitative Assessment of Structural Image Quality (2017, methodology): “Reuter et al. (2015) used the vNav-MPRAGE sequence (Tisdall et al., 2012), which simultaneously acquires a T1-weighted volume and performs motion tracking with the MRI scanner, to demonstrate in 12 healthy adults that motion during the T1 sequence was associated with spurious alterations of…”
Spurious group differences due to head motion in a diffusion MRI study (2013, methodology): “The T1-weighted images were acquired using a 3D multi-echo magnetization-prepared gradient echo (MP-RAGE) sequence with prospective motion correction (van der Kouwe et al., 2008; Tisdall et al., 2012).”
Head motion during MRI acquisition reduces gray matter volume and thickness estimates (2015, unknown): “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].”
Within-subject template estimation for unbiased longitudinal image analysis (2012, background): “, 2010) and for the validation of prospective motion correction (Tisdall et al., 2012).”