System and method for rendering a motion model of a beating heart

• US 10,271,794 B2
• Filed: 04/29/2015
• Issued: 04/30/2019
• Est. Priority Date: 05/05/2014
• Status: Active Grant

• Current Assignee: St. Jude Medical Cardiology Division Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: St. Jude Medical Cardiology Division Incorporated (Abbott Laboratories Incorporated)
• Inventors: Olson, Eric S.
• Primary Examiner(s): Bertram, Eric D.
• Application Number:
  US15/118,520
• Publication Number:
  US 20170042481A1
• Time in Patent Office: 1,462 Days
• CPC Class Codes: A61B 5/06 Devices, other than using radiation, for detecting or locating foreign bodies for removing same A61B17/50 ; determining position of probes within or on the body of the patient
• CPC Class Codes: A61B 5/062 using magnetic field
• CPC Class Codes: A61B 5/063 using impedance measurements
• CPC Class Codes: A61B 5/1107 Measuring contraction of parts of the body, e.g. organ, muscle apparatus for measuring work or force in general G01L
• CPC Class Codes: A61B 5/287 Holders for multiple electrodes, e.g. electrode catheters for electrophysiological study [EPS]
• CPC Class Codes: A61B 5/349 Detecting specific parameters of the electrocardiograph cycle
• CPC Class Codes: A61B 5/6852 Catheters
• CPC Class Codes: A61B 5/6869 Heart
• CPC Class Codes: A61B 5/7285 for synchronising or triggering a physiological measurement or image acquisition with a physiological event or waveform, e.g. an ECG signal A61B6/5205, A61B6/541, A61B8/5207, A61B8/543 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: G06T 13/40 of characters, e.g. humans, animals or virtual beings
• CPC Class Codes: G06T 15/04 Texture mapping
• CPC Class Codes: G06T 19/00 Manipulating 3D models or images for computer graphics
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/30048 Heart; Cardiac
• CPC Class Codes: G06T 2210/41 Medical
• CPC Class Codes: G06T 2210/56 Particle system, point based geometry or rendering
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

Location data associated with a cardiac wall motion during a cardiac cycle can be received. The cardiac cycle can be divided into incremental phases. The location data associated with the cardiac wall motion can be assigned to the incremental phases. A fiducial pair of coordinates can be determined for each of the incremental phases. The fiducial pair of coordinates can include location data for an intermediate cardiac phase and location data for a reference cardiac phase. A fiducial loop can be determined from the fiducial pair of coordinates for each of the incremental phases. A learned cardiac mapping between the reference cardiac phase and the intermediate cardiac phase can be determined using the fiducial loop.

Claims

1. A method of rendering a motion model of a heart, the method comprising:

receiving location data associated with a cardiac wall motion during a cardiac cycle;

dividing the cardiac cycle into incremental phases;

assigning the location data associated with the cardiac wall motion to the incremental phases;

determining, with a computing device, a fiducial pair of coordinates for each of the incremental phases, wherein the fiducial pair of coordinates includes location data for an intermediate cardiac phase and location data for a reference cardiac phase;

constructing a fiducial loop from the fiducial pair of coordinates for each of the incremental phases;

determining a learned cardiac mapping between the reference cardiac phase and the intermediate cardiac phase using the fiducial loop;

receiving a surface model of the heart; and

shifting a coordinate associated with the surface model according to the learned cardiac mapping.

2. The method of claim 1, wherein determining the learned cardiac mapping between the reference cardiac phase and the intermediate cardiac phase includes computing a lookup table of phase geometries.

3. The method of claim 2, wherein the surface model of the heart corresponds to the reference cardiac phase.

4. The method of claim 3, further comprising shifting the coordinate associated with the surface model of the heart using the lookup table of phase geometries.

5. The method of claim 4, wherein shifting the coordinate associated with the surface model of the heart is determined by correlating a cardiac phase with a phase geometry in the table of phase geometries.

6. The method of claim 1, wherein determining the learned cardiac mapping between the referenced cardiac phase and the intermediate cardiac phase includes computing a geometry of the heart for at least one of the incremental phases.

7. The method of claim 1, further comprising determining a current cardiac mapping using the learned cardiac mapping and a current cardiac phase.

8. The method of claim 7, wherein the current cardiac phase is determined based on a previous cardiac phase.

9. The method of claim 7, wherein the current cardiac phase is determined based on a ratio between a time associated with a length of the previous cardiac cycle and a time since a current cardiac cycle began.

10. A non-transitory computer-readable medium storing instructions for rendering a motion model of a heart, the instructions executable by a machine to cause the machine to:

receive a surface model of the heart corresponding to an end diastole portion of a cardiac cycle;

receive location data associated with a cardiac wall motion during the cardiac cycle;

divide the cardiac cycle into incremental phases;

assign the location data associated with the cardiac wall motion to the incremental phases based on corresponding cardiac phase data associated with the location data;

determine an average of the location data assigned to each of the incremental phases;

determine a fiducial pair of coordinates for each of the incremental phases from the averaged location data;

construct a fiducial loop from the fiducial pair of coordinates for each of the incremental phases;

compute a lookup table of phase geometries based on the fiducial loop; and

determine a shift in coordinates of the surface model based on the lookup table and a current cardiac phase of the cardiac cycle.

11. The computer-readable medium of claim 10, further comprising instructions executable to display a geometry of the heart based on the current cardiac phase of the cardiac cycle using the lookup table.

12. The computer-readable medium of claim 11, further comprising instructions executable to display an animation of a change in the geometry of the heart during the cardiac cycle based on the current cardiac phase of the cardiac cycle using the lookup table.

13. The computer-readable medium of claim 10, wherein the instructions executable to receive a surface model of the heart include instructions executable to receive a segmented model derived from an imaging system.

14. The computer-readable medium of claim 10, further comprising instructions executable to interpolate the fiducial pair of coordinates in response to the current cardiac phase being between adjacent incremental phases.

15. The computer-readable medium of claim 10, wherein the fiducial pair of coordinates is an offset from a coordinate associated with the surface model of the heart.

16. The computer-readable medium of claim 10, wherein the fiducial pair of coordinates is an absolute location of the coordinate associated with the surface model of the heart.

17. A system for rendering a motion model of a heart, comprising:

a computing device comprising processor resources and memory resources, the memory resources storing computer-readable instructions that, when executed by the processor resources, cause the processor resources to;

receive a motion sample associated with a cardiac wall motion during a cardiac cycle from a sensor operatively connected to a catheter, wherein the motion sample contains location data associated with the cardiac wall motion and cardiac phase data associated with the location data;

divide the cardiac cycle into incremental phases;

assign the location data to the incremental phases based on the corresponding cardiac phase data;

determine a fiducial pair of coordinates for each of the incremental phases based on the assigned location data;

construct a fiducial loop from the fiducial pair of coordinates for each of the incremental phases;

determine a learned cardiac mapping for the cardiac cycle that includes a lookup table of phase geometries; and

display an animation of a current cardiac cycle based on the lookup table of phase geometries and a current cardiac phase by shifting a coordinate associated with a received surface model according to the lookup table of phase geometries.

18. The system of claim 17, wherein the fiducial pair of coordinates includes location data for an intermediate cardiac phase and location data for an end cardiac phase.

19. The system of claim 17, further comprising instructions executable by the processor resources to:

receive a surface model of a heart corresponding to the end cardiac phase; and

shift a coordinate of the surface model through use of the lookup table of phase geometries and the current cardiac phase.

20. The system of claim 19, wherein the animation of the current cardiac cycle is provided by shifting the coordinate of the surface model over each incremental phase of the cardiac cycle.