Model reference identification and cancellation of magnetically-induced voltages in a gradient magnetic field

• US 8,160,717 B2
• Filed: 02/10/2009
• Issued: 04/17/2012
• Est. Priority Date: 02/19/2008
• Status: Active Grant

• Current Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Original Assignee: Cardiac Pacemakers Incorporated (Boston Scientific Corporation)
• Inventors: Ameri, Masoud
• Primary Examiner(s): KAHELIN, MICHAEL WILLIAM
• Application Number:
  US12/368,752
• Publication Number:
  US 20090210025A1
• Time in Patent Office: 1,162 Days
• Field of Search: 607/62
• US Class Current: 607/63
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61N 1/086 Magnetic resonance imaging [MRI] compatible leads
• CPC Class Codes: A61N 1/3718 Monitoring of or protection against external electromagnetic fields or currents
• CPC Class Codes: A61N 2/02 using magnetic fields produced by coils, including single turn loops or electromagnets A61N2/12 takes precedence
• CPC Class Codes: G01R 33/288 Provisions within MR facilities for enhancing safety during MR, e.g. reduction of the specific absorption rate [SAR], detection of ferromagnetic objects in the scanner room

Abstract

Systems and methods of dynamically controlling an implanted medical device located within a patient'"'"'s body in the presence of a gradient magnetic field or other external interference are disclosed. The system can include a reference model of the implanted medical device and of body tissue within the patient'"'"'s body in the absence of a gradient magnetic field, and a control unit configured to dynamically control voltages or currents applied to a lead of the implanted medical device based on predicted parameters determined by the reference model.

Claims

1. A method of dynamically controlling an implanted medical device located within a patient'"'"'s body in the presence of a magnetic resonance imaging (MRI) field, the method comprising:

detecting the presence of an MRI field within the body;

measuring the response of an excitation voltage or current applied to an implantable lead in the presence of the MRI field;

comparing the measured response obtained in the presence of the MRI field with a predicted response outputted by a lead and tissue reference model, the model including one or more model parameters stored within a memory unit for modeling the lead and body tissue within the body; and

dynamically modifying a voltage or current applied to the lead based at least in part on the predicted response outputted by the model.

2. The method of claim 1, wherein the lead and tissue reference model is formed by:

measuring the response of an excitation voltage or current applied to the lead in the absence of an MRI field;

comparing the measured response in the absence of the MRI field to a predicted response generated by the model and outputting an error signal; and

adjusting one or more model parameters of the model to minimize the error signal.

3. The method of claim 1, wherein the implantable lead is a bipolar lead including a plurality of lead electrodes electrically coupled to a pulse generator, and wherein a the lead and tissue reference model comprises a model of the lead implanted within the heart and of the cardiac tissue disposed between the lead electrodes.

4. The method of claim 3, wherein the model includes one or more impedance parameters associated with the implanted lead and the cardiac tissue between the lead electrodes.

5. The method of claim 1, wherein the implantable lead is a unipolar lead including an electrode electrically coupled to a pulse generator, and wherein the lead and tissue reference model comprises a model of the lead implanted within the heart and of the body tissue disposed between the electrode and the pulse generator.

6. The method of claim 5, wherein the model includes one or more impedance parameters associated with the implanted lead and the body tissue between the electrode and the pulse generator.

7. The method of claim 1, wherein the lead and tissue reference model is formed in the absence of the MRI field.

8. The method of claim 1, wherein measuring the response of the excitation voltage or current includes measuring the current in the implanted lead.

9. The method of claim 1, wherein dynamically modifying the voltage or current applied to the lead based on the predicted response outputted by the model includes minimizing an error signal generated by comparing the measured response of the lead in the presence of the MRI field to a predicted response from the model determined in the absence of the MRI field.

10. The method of claim 9, wherein dynamically modifying the voltage or current applied to the lead based on the predicted response outputted by the model is performed by a control unit including a closed-loop feedback controller.

11. A method of dynamically controlling an implanted medical device located within a patient'"'"'s body in the presence of a gradient magnetic resonance imaging (MRI) field, the method comprising:

measuring the response of an excitation voltage or current applied to a lead implanted in or near the heart in the absence of a gradient MRI field;

creating a model of the implanted lead and of body tissue within the body, the model including one or more impedance parameters stored within a memory unit for modeling the implanted lead and the body tissue within the body;

comparing the measured response in the absence of the gradient MRI field to an anticipated response generated by the model and outputting an error signal;

adjusting one or more of the model parameters to minimize the error signal;

detecting the presence of a gradient MRI field within the body;

measuring the response of an excitation voltage or current applied to the lead in the presence of the gradient MRI field;

comparing the measured response obtained in the presence of the gradient MRI field with a predicted response outputted by the model; and

modifying a voltage or current applied to the lead based at least in part on the predicted response from the model.

12. The method of claim 11, wherein the lead is a bipolar lead including a plurality of lead electrodes electrically coupled to a pulse generator, and wherein creating a model of the implanted lead and of body tissue includes creating a model of the lead implanted within the heart and of the cardiac tissue disposed between the lead electrodes.

13. The method of claim 12, wherein the one or more impedance parameters includes an impedance parameter associated with the implanted lead and an impedance parameter associated with the cardiac tissue between the lead electrodes.

14. The method of claim 11, wherein the lead is a unipolar lead including an electrode electrically coupled to a pulse generator, and wherein creating a model of the implanted lead and of body tissue includes creating a model of the lead implanted within the heart and of the body tissue disposed between the electrode and the pulse generator.

15. The method of claim 14, wherein the one or more impedance parameters includes an impedance parameter associated with the implanted lead and an impedance parameter associated with the body tissue between the electrode and the pulse generator.

16. The method of claim 11, wherein creating a model of the lead is performed in the absence of the gradient MRI field.

17. The method of claim 11, wherein measuring the response of the excitation voltage or current includes measuring the current in the implanted lead.

18. The method of claim 11, wherein dynamically modifying the voltage or current applied to the lead based on the predicted response outputted by the model includes minimizing an error signal generated by comparing the measured response of the lead in the presence of the gradient MRI field to a predicted response outputted from the model.

19. The method of claim 18, wherein dynamically modifying the voltage or current applied to the lead based on the predicted response outputted by the model is performed by a control unit including a closed-loop feedback controller.