System for and method of rapid peripheral nerve stimulation assessment of gradient coils

US12268508B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12268508-B2
Application numberUS-202017118155-A
CountryUS
Kind codeB2
Filing dateDec 10, 2020
Priority dateDec 10, 2019
Publication dateApr 8, 2025
Grant dateApr 8, 2025

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Abstract

Official abstract text for this publication.

A method for assessing peripheral nerve stimulation (PNS) for a coil geometry includes retrieving a PNS Huygens' P-matrix for a body model. The PNS Huygens' P-matrix is defined on a Huygens' surface enclosing the body model. The method further includes generating a coil specific PNS P-matrix for the coil geometry based on at least the PNS Huygens' P-matrix for the body model, determining at least one PNS threshold for the coil geometry based on the coil specific PNS P-matrix, and storing the at least one PNS threshold in a storage device.

First claim

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The invention claimed is: 1. A method for assessing peripheral nerve stimulation (PNS) for a coil geometry, the method comprising: retrieving a PNS Huygens' penalty matrix (P-matrix) for a body model, the PNS Huygens' P-matrix defined on a Huygens' surface enclosing the body model; generating a coil specific PNS P-matrix for the coil geometry based on at least the PNS Huygens' P-matrix for the body model; determining at least one PNS threshold for the coil geometry based on the coil specific PNS P-matrix; storing the at least one PNS threshold in a storage device; determining an adjustment of one or more of a parameter of or position of the coil geometry based on the at least one PNS threshold for the coil geometry; and adjusting the one or more of a parameter or a position of the coil geometry based on the determined adjustment. 2. The method according to claim 1 , wherein the coil geometry is a gradient coil geometry. 3. The method according to claim 1 , wherein the coil geometry is a magneto-stimulation device coil geometry. 4. The method according to claim 1 , wherein the coil geometry is a coil former shape. 5. The method according to claim 1 , wherein the coil geometry is a coil winding pattern. 6. The method according to claim 4 , wherein generating the coil specific PNS P-matrix for a coil former shape is further based on a mapping matrix. 7. The method according to claim 6 , wherein generating the coil specific PNS P-matrix for a coil former shape is given by: P D =P H M where P D is the coil specific PNS P-matrix for the coil former shape, P H is the PNS Huygens' P-matrix and M is the mapping matrix. 8. The method according to claim 6 , further comprising generating the mapping matrix by solving a set of linear matrix equations. 9. The method according to claim 5 , wherein generating the coil specific PNS P-matrix for a coil winding pattern is further based on a mapping vector. 10. The method according to claim 9 , wherein generating the coil specific PNS P-matrix for a coil winding pattern is given by: P D =P H m where P D is the coil specific PNS P-matrix for the coil winding pattern, P H is the PNS Huygens' P-matrix and m is the mapping vector. 11. The method according to claim 10 , wherein determining at least one PNS threshold for the gradient coil geometry based on the coil specific PNS P-matrix for the coil winding pattern includes determining an inverse of the maximum absolute coil specific PNS P-matrix as given by: max{| P H m| −1 } 12. The method according to claim 1 , wherein the Huygens' surface is configured to enclose the body model and maintain a predetermined minimum distance between the Huygens' surface and a boundary of the body model. 13. The method according to claim 1 , wherein the coil specific PNS P-matrix for the gradient coil geometry is a linear P-matrix. 14. A magnetic resonance imaging (MRI) system comprising: a magnet system configured to generate a polarizing magnetic field about at least a portion of a subject; a magnetic gradient system including a plurality of gradient coils configured to apply at least one gradient field to the polarizing magnetic field; a radio frequency (RF) system configured to apply an excitation field to the subject and to receive MR data from the subject using a coil array; and a computer system programmed to: retrieve a peripheral nerve stimulation (PNS) Huygens' penalty matrix (P-matrix) for a body model, the PNS Huygens' P-matrix defined on a Huygens' surface enclosing the body model; generate a coil specific PNS P-matrix for a predetermined gradient coil geometry based on at least the PNS Huygens' P-matrix for the body model; determine at least one PNS threshold for the gradient coil geometry based on the coil specific PNS P-matrix; store the at least one PNS threshold in a storage device; determine an adjustment of one or more parameters of the gradient coil geometry based on the at least one PNS threshold for the gradient coil geometry; and adjust the one or more parameters of the gradient coil geometry based on the determined adjustment. 15. The MRI system according to claim 14 , wherein the gradient coil geometry is a coil former shape. 16. The MRI system according to claim 14 , wherein the gradient coil geometry is a coil winding pattern. 17. A method for optimizing a design of a gradient coil geometry, the method comprising: creating a current density distribution of the gradient coil geometry; determining a B-field generated by each stream function basis associated with the current density distribution; determining a coil specific peripheral nerve stimulation penalty matrix (PNS P-matrix) for the gradient coil geometry based on at least a PNS Huygens' P-matrix for a body model, the PNS Huygens' P-matrix defined on a Huygens' surface enclosing the body model; determining a current density pattern using an optimization process including the coil specific PNS P-matrix for the gradient coil geometry; storing the current density pattern; and configuring the gradient coil geometry based on the current density pattern. 18. The method according to claim 17 , wherein the gradient coil geometry is a coil former shape. 19. The method according to claim 18 , wherein determining the coil specific PNS P-matrix for the coil former shape is given by: P D =P H M where P D is the coil specific PNS P-matrix for the coil former shape, P H is the PNS Huygens' P-matrix and M is a mapping matrix. 20. The method according to claim 17 , wherein the Huygens' surface is configured to enclose the body model and maintain a predetermined minimum distance between the Huygens' surface and a boundary of the body model.

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Classifications

  • involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging · CPC title

  • Magnetic particle imaging · CPC title

  • Treating the measured signals, e.g. removing offset or noise · CPC title

  • Constructional details of apparatus · CPC title

  • A61B5/311Primary

    for nerve conduction study [NCS] · CPC title

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What does patent US12268508B2 cover?
A method for assessing peripheral nerve stimulation (PNS) for a coil geometry includes retrieving a PNS Huygens' P-matrix for a body model. The PNS Huygens' P-matrix is defined on a Huygens' surface enclosing the body model. The method further includes generating a coil specific PNS P-matrix for the coil geometry based on at least the PNS Huygens' P-matrix for the body model, determining at lea…
Who is the assignee on this patent?
Massachusetts Gen Hospital
What technology area does this patent fall under?
Primary CPC classification A61B5/311. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Apr 08 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 5 related publications on this page (citations in our corpus or others sharing the same primary CPC).