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Motion‐corrected brain MRI at ultralow field (64 mT).

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Title: Motion‐corrected brain MRI at ultralow field (64 mT).
Authors: Brackenier, Yannick1,2 (AUTHOR) yannick.brackenier@kcl.ac.uk, Teixeira, Rui Pedro3 (AUTHOR), Cordero‐Grande, Lucilio4 (AUTHOR), Ljungberg, Emil5,6 (AUTHOR), Bourke, Niall J.6 (AUTHOR), Arichi, Tomoki1,2 (AUTHOR), Deoni, Sean7 (AUTHOR), Williams, Steve C. R.6 (AUTHOR), Hajnal, Joseph V.1,2 (AUTHOR)
Source: Magnetic Resonance in Medicine. Aug2025, Vol. 94 Issue 2, p825-834. 10p.
Subjects: Image reconstruction, Magnetic resonance imaging, Scanning systems, Test methods, Volunteers
Abstract: Purpose: The study investigates the feasibility of applying a retrospective motion‐correction technique to ultralow‐field (ULF) MRI data to improve reconstructed image quality when there is patient motion, which is likely to be a critical challenge in portable, point‐of‐care imaging. Theory & Methods: The study tests alignedSENSE, an iterative motion correction and reconstruction method with SENSE, for ULF MRI, with additional corrections to estimate and correct within‐scan phase variations. The method was applied to in vivo brain volumetric data acquired from five healthy volunteers using a 64 mT portable MRI scanner. The volunteers underwent different motion types and levels, with corrections evaluated using both visual and quantitative metrics. Results: Motion correction, particularly when within‐scan phase variations are also accounted for, showed clear improvements in image quality. Without making any assumptions about the origin of these phase variations, incorporating them into the signal model and jointly estimating with the image/motion parameters increases the data consistency. This improves the image quality and motion parameters across various levels of induced motion. Quantitative analysis confirmed that the combined motion and phase corrections outperformed conventional parallel imaging reconstruction, although extreme motion cases still pose challenges. Conclusion: The study demonstrates that alignedSENSE motion‐correction techniques can be effectively applied to ULF MRI systems. The results suggest that these techniques can substantially enhance image quality without increasing scan time, which could make ULF MRI more clinically viable for point‐of‐care deployment. [ABSTRACT FROM AUTHOR]
Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Motion‐corrected brain MRI at ultralow field (64 mT).
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  Data: <searchLink fieldCode="AR" term="%22Brackenier%2C+Yannick%22">Brackenier, Yannick</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> yannick.brackenier@kcl.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Teixeira%2C+Rui+Pedro%22">Teixeira, Rui Pedro</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cordero‐Grande%2C+Lucilio%22">Cordero‐Grande, Lucilio</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ljungberg%2C+Emil%22">Ljungberg, Emil</searchLink><relatesTo>5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bourke%2C+Niall+J%2E%22">Bourke, Niall J.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Arichi%2C+Tomoki%22">Arichi, Tomoki</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deoni%2C+Sean%22">Deoni, Sean</searchLink><relatesTo>7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Williams%2C+Steve+C%2E+R%2E%22">Williams, Steve C. R.</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hajnal%2C+Joseph+V%2E%22">Hajnal, Joseph V.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Aug2025, Vol. 94 Issue 2, p825-834. 10p.
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  Data: Purpose: The study investigates the feasibility of applying a retrospective motion‐correction technique to ultralow‐field (ULF) MRI data to improve reconstructed image quality when there is patient motion, which is likely to be a critical challenge in portable, point‐of‐care imaging. Theory & Methods: The study tests alignedSENSE, an iterative motion correction and reconstruction method with SENSE, for ULF MRI, with additional corrections to estimate and correct within‐scan phase variations. The method was applied to in vivo brain volumetric data acquired from five healthy volunteers using a 64 mT portable MRI scanner. The volunteers underwent different motion types and levels, with corrections evaluated using both visual and quantitative metrics. Results: Motion correction, particularly when within‐scan phase variations are also accounted for, showed clear improvements in image quality. Without making any assumptions about the origin of these phase variations, incorporating them into the signal model and jointly estimating with the image/motion parameters increases the data consistency. This improves the image quality and motion parameters across various levels of induced motion. Quantitative analysis confirmed that the combined motion and phase corrections outperformed conventional parallel imaging reconstruction, although extreme motion cases still pose challenges. Conclusion: The study demonstrates that alignedSENSE motion‐correction techniques can be effectively applied to ULF MRI systems. The results suggest that these techniques can substantially enhance image quality without increasing scan time, which could make ULF MRI more clinically viable for point‐of‐care deployment. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Magnetic resonance imaging
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      – SubjectFull: Scanning systems
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      – TitleFull: Motion‐corrected brain MRI at ultralow field (64 mT).
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              M: 08
              Text: Aug2025
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