scholarly journals Active head motion reduction in magnetic resonance imaging using tactile feedback

2019 ◽  
Vol 40 (14) ◽  
pp. 4026-4037 ◽  
Author(s):  
Florian Krause ◽  
Caroline Benjamins ◽  
Judith Eck ◽  
Michael Lührs ◽  
Rick Hoof ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Tactile Feedback ◽  
Head Motion ◽  
Resonance Imaging

scholarly journals Active head motion reduction in Magnetic Resonance Imaging using tactile feedback

2019 ◽  
Author(s):  
Florian Krause ◽  
Caroline Benjamins ◽  
Judith Eck ◽  
Michael Luehrs ◽  
Rick van Hoof ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Image Quality ◽  
A Priori ◽  
Tactile Feedback ◽  
Cognitive Tasks ◽  
Head Motion ◽  
Resonance Imaging ◽  
Reduce Image Quality ◽  
Cost Efficient

AbstractHead motion is a common problem in clinical as well as empirical (functional) Magnetic Resonance Imaging applications, as it can lead to severe artefacts that reduce image quality. The scanned individuals themselves, however, are often not aware of their head motion. The current study explored whether providing subjects with this information using tactile feedback would reduce their head motion and consequently improve image quality. In a single session that included six runs, 24 participants performed three different cognitive tasks: (1) passive viewing, (2) mental imagery, and (3) speeded responses. These tasks occurred in two different conditions: (a) with a strip of medical tape applied from one side of the MR head-coil, via the participant’s forehead, to the other side, and (b) without the medical tape being applied. Results revealed that application of medical tape to the forehead of subjects to provide tactile feedback significantly reduced both translational as well as rotational head motion. While this effect did not differ between the three cognitive tasks, there was a negative quadratic relationship between head motion with and without feedback. That is, the more head motion a subject produced without feedback, the stronger the motion reduction given the feedback. In conclusion, the here tested method provides a simple and cost-efficient way to reduce subjects’ head motion, and might be especially beneficial when extensive head motion is expected a priori.

scholarly journals Individual Differences in Impulsivity Predict Head Motion during Magnetic Resonance Imaging

PLoS ONE ◽  
2014 ◽  
Vol 9 (8) ◽  
pp. e104989 ◽  
Author(s):  
Xiang-zhen Kong ◽  
Zonglei Zhen ◽  
Xueting Li ◽  
Huan-hua Lu ◽  
Ruosi Wang ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Individual Differences ◽  
Magnetic Resonance ◽  
Head Motion ◽  
Resonance Imaging

scholarly journals Measurement and Correction of Microscopic Head Motion during Magnetic Resonance Imaging of the Brain

PLoS ONE ◽  
2012 ◽  
Vol 7 (11) ◽  
pp. e48088 ◽  
Author(s):  
Julian Maclaren ◽  
Brian S. R. Armstrong ◽  
Robert T. Barrows ◽  
K. A. Danishad ◽  
Thomas Ernst ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Head Motion ◽  
Resonance Imaging ◽  
The Brain

scholarly journals Improved motion correction of submillimetre 7T fMRI time series with boundary-based registration (BBR)

2019 ◽  
Author(s):  
Pei Huang ◽  
Johan D. Carlin ◽  
Richard N. Henson ◽  
Marta M. Correia
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Functional Magnetic Resonance Imaging ◽  
Functional Data ◽  
Structural Data ◽  
Target Volume ◽  
Head Motion ◽  
Functional Magnetic Resonance ◽  
Resonance Imaging ◽  
The Difference

AbstractUltra-high field functional magnetic resonance imaging (fMRI) has allowed us to acquire images with submillimetre voxels. However, in order to interpret the data clearly, we need to accurately correct head motion and the resultant distortions. Here, we present a novel application of Boundary Based Registration (BBR) to realign functional Magnetic Resonance Imaging (fMRI) data and evaluate its effectiveness on a set of 7T submillimetre data, as well as millimetre 3T data for comparison. BBR utilizes the boundary information from high contrast present in structural data to drive registration of functional data to the structural data. In our application, we realign each functional volume individually to the structural data, effectively realigning them to each other. In addition, this realignment method removes the need for a secondary aligning of functional data to structural data for purposes such as laminar segmentation or registration to data from other scanners. We demonstrate that BBR realignment outperforms standard realignment methods across a variety of data analysis methods. Further analysis shows that this benefit is an inherent property of the BBR cost function and not due to the difference in target volume. Our results show that BBR realignment is able to accurately correct head motion in 7T data and can be utilized in preprocessing pipelines to improve the quality of 7T data.

scholarly journals Correction: Measurement and Correction of Microscopic Head Motion during Magnetic Resonance Imaging of the Brain

PLoS ONE ◽  
2013 ◽  
Vol 8 (6) ◽  
Author(s):  
Julian Maclaren ◽  
Brian S. R. Armstrong ◽  
Robert T. Barrows ◽  
K. A. Danishad ◽  
Thomas Ernst ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Head Motion ◽  
Resonance Imaging ◽  
The Brain

scholarly journals Characterisation of children's head motion for Magnetic Resonance Imaging with and without general anaesthesia

2021 ◽  
Author(s):  
Hannah Eichhorn ◽  
Andreea-Veronica Vascan ◽  
Martin Nørgaard ◽  
Andreas Høyby Ellegaard ◽  
Jakob Slipsager ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
General Anaesthesia ◽  
Clinical Setting ◽  
Structural Mri ◽  
Head Motion ◽  
Resonance Imaging ◽  
Motion Patterns ◽  
Motion Data ◽  
Patient Groups

Head motion is one of the major reasons for artefacts in Magnetic Resonance Imaging (MRI), which is especially challenging for children who are often intimidated by the dimensions of the MR scanner. In order to optimise the MRI acquisition for children in the clinical setting, insights into children's motion patterns are essential. In this work, we analyse motion data from 61 pediatric patients. We compare structural MRI data of children imaged with and without general anaesthesia (GA), all scanned using the same hybrid PET/MR scanner. We analyse several metrics of motion based on the displacement relative to a reference, decompose the transformation matrix into translation and rotation, as well as investigate how different regions in the brain are affected by motion. Head motion for children without GA was significantly higher (mean displacement of $2.19 \pm 0.93$ mm (median $\pm$ standard deviation) during $41.7 \pm 7.5$ min scans); however, even anaesthetised children showed substantial residual head motion (mean displacement of $1.12 \pm 0.35$ mm). For both patient groups translation along the z-axis (along the scanner bore) was significantly larger in absolute terms (GA / no GA: $0.87 \pm 0.29$ mm / $0.92 \pm 0.49$ mm) compared to the other directions. Considering directionality, both patient groups were moving in negative z-direction and thus, out of the scanner. The awake children additionally showed significantly more nodding rotation ($0.33 \pm 0.20~^{\circ}$). Consequently, in future studies as well as in the clinical setting, these predominant types of motion need to be taken into consideration to limit artefacts and reduce re-scans due to poor image quality.

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