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Peripheral nerve stimulation informed design of a high‐performance asymmetric head gradient coil.

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Title: Peripheral nerve stimulation informed design of a high‐performance asymmetric head gradient coil.
Authors: Davids, Mathias1,2 (AUTHOR) mathias.davids@mgh.harvard.edu, Dietz, Peter3 (AUTHOR), Ruyters, Gudrun3 (AUTHOR), Roesler, Manuela3 (AUTHOR), Klein, Valerie1,2 (AUTHOR), Guérin, Bastien1,2 (AUTHOR), Feinberg, David A.4,5 (AUTHOR), Wald, Lawrence L.1,2,6 (AUTHOR)
Source: Magnetic Resonance in Medicine. Aug2023, Vol. 90 Issue 2, p784-801. 18p.
Subjects: Neural stimulation, Peripheral nervous system, Degrees of freedom, Shoulder
Abstract: Purpose: Peripheral nerve stimulation (PNS) limits the image encoding performance of both body gradient coils and the latest generation of head gradients. We analyze a variety of head gradient design aspects using a detailed PNS model to guide the design process of a new high‐performance asymmetric head gradient to raise PNS thresholds and maximize the usable image‐encoding performance. Methods: A novel three‐layer coil design underwent PNS optimization involving PNS predictions of a series of candidate designs. The PNS‐informed design process sought to maximize the usable parameter space of a coil with <10% nonlinearity in a 22 cm region of linearity, a relatively large inner diameter (44 cm), maximum gradient amplitude of 200 mT/m, and a high slew rate of 900 T/m/s. PNS modeling allowed identification and iterative adjustment of coil features with beneficial impact on PNS such as the number of winding layers, shoulder accommodation strategy, and level of asymmetry. PNS predictions for the final design were compared to measured thresholds in a constructed prototype. Results: The final head gradient achieved up to 2‐fold higher PNS thresholds than the initial design without PNS optimization and compared to existing head gradients with similar design characteristics. The inclusion of a third intermediate winding layer provided the additional degrees of freedom necessary to improve PNS thresholds without significant sacrifices to the other design metrics. Conclusion: Augmenting the design phase of a new high‐performance head gradient coil by PNS modeling dramatically improved the usable image‐encoding performance by raising PNS thresholds. [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: Peripheral nerve stimulation informed design of a high‐performance asymmetric head gradient coil.
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  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Davids%2C+Mathias%22&quot;&gt;Davids, Mathias&lt;/searchLink&gt;&lt;relatesTo&gt;1,2&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; mathias.davids@mgh.harvard.edu&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Dietz%2C+Peter%22&quot;&gt;Dietz, Peter&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Ruyters%2C+Gudrun%22&quot;&gt;Ruyters, Gudrun&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Roesler%2C+Manuela%22&quot;&gt;Roesler, Manuela&lt;/searchLink&gt;&lt;relatesTo&gt;3&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Klein%2C+Valerie%22&quot;&gt;Klein, Valerie&lt;/searchLink&gt;&lt;relatesTo&gt;1,2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Gu&#233;rin%2C+Bastien%22&quot;&gt;Gu&#233;rin, Bastien&lt;/searchLink&gt;&lt;relatesTo&gt;1,2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Feinberg%2C+David+A%2E%22&quot;&gt;Feinberg, David A.&lt;/searchLink&gt;&lt;relatesTo&gt;4,5&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Wald%2C+Lawrence+L%2E%22&quot;&gt;Wald, Lawrence L.&lt;/searchLink&gt;&lt;relatesTo&gt;1,2,6&lt;/relatesTo&gt; (AUTHOR)
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  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Magnetic+Resonance+in+Medicine%22&quot;&gt;Magnetic Resonance in Medicine&lt;/searchLink&gt;. Aug2023, Vol. 90 Issue 2, p784-801. 18p.
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  Data: Purpose: Peripheral nerve stimulation (PNS) limits the image encoding performance of both body gradient coils and the latest generation of head gradients. We analyze a variety of head gradient design aspects using a detailed PNS model to guide the design process of a new high‐performance asymmetric head gradient to raise PNS thresholds and maximize the usable image‐encoding performance. Methods: A novel three‐layer coil design underwent PNS optimization involving PNS predictions of a series of candidate designs. The PNS‐informed design process sought to maximize the usable parameter space of a coil with &lt;10% nonlinearity in a 22 cm region of linearity, a relatively large inner diameter (44 cm), maximum gradient amplitude of 200 mT/m, and a high slew rate of 900 T/m/s. PNS modeling allowed identification and iterative adjustment of coil features with beneficial impact on PNS such as the number of winding layers, shoulder accommodation strategy, and level of asymmetry. PNS predictions for the final design were compared to measured thresholds in a constructed prototype. Results: The final head gradient achieved up to 2‐fold higher PNS thresholds than the initial design without PNS optimization and compared to existing head gradients with similar design characteristics. The inclusion of a third intermediate winding layer provided the additional degrees of freedom necessary to improve PNS thresholds without significant sacrifices to the other design metrics. Conclusion: Augmenting the design phase of a new high‐performance head gradient coil by PNS modeling dramatically improved the usable image‐encoding performance by raising PNS thresholds. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;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&#39;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.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1002/mrm.29668
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      – Code: eng
        Text: English
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        StartPage: 784
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      – SubjectFull: Neural stimulation
        Type: general
      – SubjectFull: Peripheral nervous system
        Type: general
      – SubjectFull: Degrees of freedom
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      – SubjectFull: Shoulder
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      – TitleFull: Peripheral nerve stimulation informed design of a high‐performance asymmetric head gradient coil.
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              M: 08
              Text: Aug2023
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              Y: 2023
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