Motion correction in MRI of the brain

Godenschweger, Frank; Kägebein, Urte; Stucht, Daniel; Yarach, Uten; Sciarra, Alessandro; Yakupov, Renat; Lüsebrink, Falk; Schulze, Peter; Speck, Oliver

doi:10.1088/0031-9155/61/5/r32

Cited by 169 publications

(160 citation statements)

References 133 publications

(205 reference statements)

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“…Thus, care must be taken to assess and correct for motion, especially in childhood, when motion can be more of an issue, or when comparing groups of subjects when one group may be more likely to experience motion in the scanner. There are several approaches to detecting motion during scanning, and for prospective and retrospective motion correction; prospective motion correction typically requires multiple extra images, increasing the scan time 222, 223 . It is also important to recognize that imaging measures are indirect measures of brain structure and function and are subject to the effect of many potential confounds, such as hydration, blood lipid levels and cortisol levels 224 .…”

Section: Introductionmentioning

confidence: 99%

Imaging structural and functional brain development in early childhood

2018

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In humans, the period from term birth to ~2 years of age is characterized by rapid and dynamic brain development and plays an important role in cognitive development and risk for disorders such as autism and schizophrenia. Recent imaging studies have begun to delineate the growth trajectories of brain structure and function in the first years after birth and their relationship to cognition and risk for neuropsychiatric disorders. This Review discusses the development of grey and white matter, structural and functional networks, as well as genetic and environmental influences on early childhood brain development. We also discuss initial evidence regarding the usefulness of early imaging biomarkers for predicting cognitive outcomes and risk for neuropsychiatric disorders.

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Section: Introductionmentioning

confidence: 99%

Imaging structural and functional brain development in early childhood

2018

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“…Motion is a frequent problem in MRI, causing severe limitations and costs both in the clinic and in research . A wide range of different motion correction techniques have been developed which can significantly improve image quality in the case of subject motion during a scan . Most methods require time‐resolved motion detection or quantification.…”

Section: Introductionmentioning

confidence: 99%

3D rigid‐body motion information from spherical Lissajous navigators at small k‐space radii: A proof of concept

Buschbeck

Yun

Shah

2019

Magnetic Resonance in Med

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Purpose To demonstrate, for the first time, the feasibility of obtaining low‐latency 3D rigid‐body motion information from spherical Lissajous navigators acquired at extremely small k‐space radii, which has significant advantages compared with previous techniques. Theory and Methods A spherical navigator concept is proposed in which the surface of a k‐space sphere is sampled on a 3D Lissajous curve at a radius of 0.1/cm. The navigator only uses a single excitation and is acquired in less than 5 ms. Rotation estimations were calculated with an algorithm from computer vision that exploits a rotation theorem of the spherical harmonics transform and has minimal computational cost. The effectiveness of the concept was investigated with phantom and in vivo measurements on a commercial 3T MRI scanner. Results Scanner‐induced in vivo motion was measured with maximum absolute errors of 0.58° and 0.33 mm for rotations and translations, respectively. In the case of real, in vivo motion, the proposed method showed good agreement with motion information from FSL image registrations (mean/maximum deviations of 0.37°/1.24° and 0.44 mm/1.35 mm). In addition, phantom measurements indicated precisions of 0.014° and 0.013 mm. The computations for complete motion information took, on average, 24 ms on an ordinary laptop. Conclusions This work demonstrates a proof of concept for obtaining accurate motion information from small‐radius spherical navigators. The method has the potential to overcome several previously reported problems and could help increase the utility of navigator‐based motion correction both in research and in the clinic.

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“…These artefacts arise mainly due to the prolonged period of time required to form a complete k-space dataset. For more detail on artefacts in traditional MRI interested reader is referred to recent reviews on the topic (Godenschweger et al, 2016; Zaitsev et al, 2015). In contrast, functional MRI (fMRI) is typically carried out using 2D single-shot signal readouts (Tsao, 2010).…”

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Prospective motion correction in functional MRI

et al. 2017

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Due to the intrinsic low sensitivity of BOLD-fMRI long scanning is required. Subject motion during fMRI scans reduces statistical significance of the activation maps and increases the prevalence of false activations. Motion correction is therefore an essential tool for a successful fMRI data analysis. Retrospective motion correction techniques are now commonplace and are incorporated into a wide range of fMRI analysis toolboxes. These techniques are advantageous due to robustness, sequence independence and have minimal impact on the fMRI study setup. Retrospective techniques however, do not provide an accurate intra-volume correction, nor can these techniques correct for the spin-history effects. The application of prospective motion correction in fMRI appears to be effective in reducing false positives and increasing sensitivity when compared to retrospective techniques, particularly in the cases of substantial motion. Especially advantageous in this regard is the combination of prospective motion correction with dynamic distortion correction. Nevertheless, none of the recent methods are able to recover activations in presence of motion that are comparable to no-motion conditions, which motivates further research in the area of adaptive dynamic imaging.

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Motion correction in MRI of the brain

Cited by 169 publications

References 133 publications

Imaging structural and functional brain development in early childhood

Imaging structural and functional brain development in early childhood

3D rigid‐body motion information from spherical Lissajous navigators at small k‐space radii: A proof of concept

Prospective motion correction in functional MRI

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