Magnetic sensing to provide geometry information

Patent metadata

Field	Value
Publication number	US-2016354012-A1
Application number	US-201615171735-A
Country	US
Kind code	A1
Filing date	Jun 2, 2016
Priority date	Jun 2, 2015
Publication date	Dec 8, 2016
Grant date	—

Abstract

An example method includes storing invasive position data representing different positions of one or more sensors in a given coordinate system within a volume defined by an electromagnetic field and storing non-invasive position data representing different positions of a plurality of control points in the given coordinate system determined from a position of one or more sensors. The method also includes computing internal geometry data based on the invasive position data, the internal geometry data representing a three-dimensional anatomical surface within a patient's body. The method also includes computing electrode geometry data based on the non-invasive position data, the electrode geometry data representing a location of each of a plurality of electrodes on an outer surface of the patient's body. Electrical activity sensed by the plurality of electrodes can be reconstructed onto an anatomical envelope within the patient's body.

First claim

What is claimed is:

1 . A system comprising:
an electromagnetic spatial measurement apparatus comprising:
a moveable sensor to provide a sensor signal in response to an electromagnetic field, the measurement apparatus providing first position data representing multiple positions of the moveable sensor in a given coordinate system;
a plurality of stationary sensors that each provides respective sensor signals in response to the electromagnetic field, the measurement apparatus providing second position data based on a position of each of the plurality of sensors in the given coordinate system;
a processor configured to:
compute internal geometry data based on the first position data, the internal geometry data representing a plurality of locations in a three-dimensional space distributed across an anatomical surface within a patient's body;
compute electrode geometry data based on the second position data, the electrode geometry data representing the location of each of a plurality of electrodes on an outer surface of the patient's body.

2 . The system of claim 1 , further comprising the plurality of electrodes to sense electrical activity from locations distributed across the outer surface of the patient's body,
wherein the processor is further configured to reconstruct cardiac electrical activity onto a cardiac envelope based on the sensed electrical activity from the outer surface of the patient's body, the internal geometry data and the electrode geometry data.

3 . The system of claim 2 , wherein the processor further comprises instructions, corresponding to a localization engine, to determine an estimate of location of an applied signal in the given coordinate system based on the sensed electrical activity.

4 . The system of claim 3 , wherein the localization engine includes a domain translator that comprises at least one of a look-up table or a transform that converts the sensed electrical activity for the plurality of electrodes to an estimated location of the applied signal in the given coordinate system based on the sensed electrical activity by the plurality of electrodes.

5 . The system of claim 1 , wherein the electromagnetic spatial measurement apparatus further comprises an electromagnetic field generator to supply the electromagnetic field, and
wherein the system further comprises a probe device that is moveable within the electromagnetic field, wherein the moveable sensor is fixed with respect to the probe device.

6 . The system of claim 5 , wherein the electromagnetic spatial measurement apparatus further comprises an invasive electromagnetic sensor at a stationary position within the patient's body, the invasive electromagnetic sensor to provide a corresponding sensor signal in response to the electromagnetic field, the measurement apparatus providing the invasive position data representing the stationary position of the invasive sensor in the given coordinate system based on the corresponding sensor signal.

7 . The system of claim 1 , wherein the processor computes the internal geometry data to represent a plurality of locations in a three-dimensional space distributed across an anatomical surface within the patient's body.

8 . The system of claim 7 , wherein the processor computes the internal geometry data to represent a cardiac surface mesh.

9 . The system of claim 1 , wherein the plurality of electrodes are in a predetermined fixed relative spatial position with respect to the plurality of sensors, the processor employing position data determined for each of the plurality of sensors as control points to ascertain locations of each of the plurality of electrodes in the given coordinate system.

10 . The system of claim 9 , wherein at least one of the plurality of sensors defines a respective control point in the given coordinate system that is co-located with a respective one of the plurality of electrodes.

11 . The system of claim 1 , wherein at least one of the plurality of sensors is carried on a probe that is moveable to locations corresponding to locations of at least a substantial portion of the plurality of electrodes or predetermined locations residing on a substrate containing the plurality of electrodes.

12 . The system of claim 1 , further comprising:
a signal generator to supply an electrical signal to an electrode on a probe device that is within a volume defined by the electromagnetic field; and an electrical measurement system providing electrical measurement data representing electrical activity sensed by the plurality of electrodes on the outer surface of the patient's body in response to the supplied electrical signal; an output generator that provides output data to a display to provide an indication of a location of the electrode in the given coordinate system based on the electrical measurement data.

13 . The system of claim 12 , further comprising the plurality of electrodes to sense electrical activity from locations distributed across the outer surface of the patient's body, wherein the processor further comprises instructions, corresponding to a localization engine, to determine a location of an applied signal in the given coordinate system based on sensed electrical activity.

14 . A method comprising:
storing invasive position data representing different positions of one or more sensors in a given coordinate system within a volume defined by an electromagnetic field; storing non-invasive position data representing different positions of a plurality of control points in the given coordinate system determined from a position of one or more sensors; computing internal geometry data based on the invasive position data, the internal geometry data representing a three-dimensional anatomical surface within a patient's body; computing electrode geometry data based on the non-invasive position data, the electrode geometry data representing a location of each of a plurality of electrodes on an outer surface of the patient's body; and reconstructing electrical activity sensed by the plurality of electrodes onto an anatomical envelope within the patient's body based on the internal geometry data and electrode geometry data.

15 . The method of claim 14 , further comprising aggregating the internal geometry data and electrode geometry data so that the location of each of a plurality of electrodes and the three-dimensional anatomical surface within a patient's body are in a common coordinate system to enable the reconstruction.

16 . The method of claim 14 , further comprising sensing electrical activity from the plurality of electrodes during at least one time interval, wherein the reconstructed electrical activity represents electrical activity across the three-dimensional anatomical surface within the patient's body during the at least one time interval.

17 . The method of claim 14 , wherein the internal geometry data and the electrode geometry data are computed in the absence of imaging.

18 . The method of claim 14 , further comprising:
providing electrical measurement data representing electrical activity measured by the plurality of electrodes in response to applying an electrical signal via an electrode within the patient's body; and applying a domain translator to convert the electrical measurement data to an estimated location of the applied electrical signal in the given coordinate system.

19 . The method of claim 14 , wherein the internal geometry data is computed to represent a surface mesh for a cardiac surface.

20 . The

Assignees

• Cardioinsight Technologies Inc

Inventors

• Zeng Qingguo
• Jia Ping
• Ramanathan Charulatha
• Lou Qing
• Bokan Ryan
• George Brian P

Classifications

• A61B5/1075

  for measuring dimensions by non-invasive methods, e.g. for determining thickness of tissue layer (A61B8/0858 takes precedence) · CPC title

• A61B5/7253

  characterised by using transforms · CPC title

• A61B5/7271

  Specific aspects of physiological measurement analysis (specific diagnostics methods using bioelectric or biomagnetic signals A61B5/316) · CPC title

• A61B5/6803

  Head-worn items, e.g. helmets, masks, headphones or goggles · CPC title

• A61B5/053

  Measuring electrical impedance or conductance of a portion of the body · CPC title