Method and system to subdivide a mapping area for mechanical activation analysis

• US 9,763,591 B2
• Filed: 05/04/2015
• Issued: 09/19/2017
• Est. Priority Date: 05/05/2014
• Status: Active Grant

• Current Assignee: Pacesetter Incorporated (Abbott Laboratories Incorporated)
• Original Assignee: Pacesetter Incorporated (Abbott Laboratories Incorporated)
• Inventors: Nabutovsky, Yelena, Razavi, Hoda
• Primary Examiner(s): CAREY, MICHAEL JAMES
• Application Number:
  US14/703,749
• Publication Number:
  US 20150313555A1
• Time in Patent Office: 869 Days
• Field of Search: 600508, 600512, 600515, 600518, 600527
• CPC Class Codes: A61B 2034/2046 Tracking techniques
• CPC Class Codes: A61B 2034/2051 Electromagnetic tracking systems
• CPC Class Codes: A61B 2034/2065 Tracking using image or pattern recognition
• CPC Class Codes: A61B 2034/256 having a database of accessory information, e.g. including context sensitive help or scientific articles
• CPC Class Codes: A61B 34/10 Computer-aided planning, simulation or modelling of surgical operations
• CPC Class Codes: A61B 34/20 Surgical navigation systems; Devices for tracking or guiding surgical instruments, e.g. for frameless stereotaxis
• CPC Class Codes: A61B 5/0006 ECG or EEG signals
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/061 Determining position of a probe within the body employing means separate from the probe, e.g. sensing internal probe position employing impedance electrodes on the surface of the body A61B1/00158 takes precedence
• CPC Class Codes: A61B 5/287 Holders for multiple electrodes, e.g. electrode catheters for electrophysiological study [EPS]
• CPC Class Codes: A61B 5/316 Modalities, i.e. specific diagnostic methods
• CPC Class Codes: A61B 5/339 Displays specially adapted therefor
• CPC Class Codes: A61B 5/7485 Automatic selection of region of interest

Abstract

A method and system are provided for subdividing a region of interest. The method and system utilize an intravascular mapping tool configured to be inserted into at least one of the endocardial or epicardial space. The mapping tool is maneuvered to select locations proximate to surfaces of the heart, while collecting map points at the select locations to form a point cloud data set during at least one cardiac cycle. The method and system further include selecting a region of interest from the point cloud data set, and forming a triangulation area that include a set of map points from the point cloud data set corresponding to the region of interest. Further, the method and system use a triangulation technique algorithm to generate at least one triangle within the triangulation area formed from at least a portion of the set of map points.

Claims

1. A method for subdividing a region of interest, the method comprising:

receiving point specific (PS) motion data from an intravascular mapping tool configured to be inserted into at least one of the endocardial or epicardial space, the mapping tool maneuvered to select locations against surfaces of the heart, while collecting PS motion data at map points to form a point cloud data set during at least one cardiac cycle, the PS motion data representing motion activity data at the map points; and

utilizing one or more processors for;

selecting a region of interest from the point cloud data set;

segmenting the region of interest into at least one segment that includes a corresponding set of map points from the point cloud data set; and

assigning the PS motion data for at least a portion of the map points from the set of map points into geometric areas; and

determining a mechanical behavior for at least one of the geometric areas based on the PS motion data for the corresponding map points.

2. The method of claim 1, wherein the assigning operation includes utilizing a triangulation algorithm to build triangles that include the map points as vertices wherein no map points fall within more than one of the triangles, and to utilize the PS motion data at the vertices to calculate the mechanical behavior for the corresponding geometric areas.

3. The method of claim 1, wherein the assigning further comprises assigning, to the geometric areas, map points that are positioned outside of the region of interest.

4. The method of claim 1, wherein the assigning operation includes forming candidate geometric regions within the at least one segment, identifying a subset of the candidate geometric regions having a select area to constitute a select geometric area, and assigning map points within the select geometric area to the select geometric area.

5. The method of claim 4, further comprising calculating areas for a plurality of the geometric areas and calculating a sum of areas of the plurality of the geometric areas, and utilizing the sum to identify the subject of the candidate geometric regions that cover the greatest area.

6. The method of claim 1, further comprising determining centroids for a plurality of the geometric areas.

7. The method of claim 1, wherein a plurality of geometric areas include vertices corresponding to the map points, at least a portion of the geometric areas further including map points within an interior portion of the geometric areas.

8. The method of claim 1, wherein the assigning operation further comprises a plurality of candidate triangular area combinations, including overlapping triangular areas and non-overlapping triangular areas.

9. The method of claim 1, wherein the geometric area represents a triangular area, and the assigning operation includes assigning a select map point to one or more triangular areas when the select map point falls within distance limits of neighboring map points.

10. A system comprising:

an intravascular mapping tool configured to collect point specific (PS) motion data when inserted into at least one of the endocardial or epicardial space, the mapping tool configured to be maneuvered to select locations against surfaces of the heart, while collecting the PS motion data at map points to form a point cloud data set during at least one cardiac cycle, the PS motion data representing motion activity data at the map points; and

a processor configured to;

select a region of interest from the point cloud data set;

segment the region of interest into at least one segment that includes a corresponding set of map points from the point cloud data set;

assign the PS motion data for at least a portion of the map points from the set of map points into geometric areas; and

determine a mechanical behavior for at least one of the geometric areas based on the PS motion data for the corresponding map points.

11. The system of claim 10, wherein the processor is further configured to assign the map points utilizing a triangulation algorithm to build triangles that include the map points as vertices wherein no map points fall within more than one of the triangles, and to utilize the PS motion data at the vertices to calculate the mechanical behavior for the corresponding geometric areas.

12. The system of claim 10, wherein the processor is further configured to assign, to the geometric areas, map points that are positioned outside of the region of interest.

13. The system of claim 10, wherein the processor is further configured to form candidate geometric regions within the at least one segment, identify a subset of the candidate geometric regions that cover a greatest area of the region of interest to constitute a select geometric area, and assign map points within the select geometric area to the select geometric area.

14. The system of claim 13, wherein the processor is further configured to calculate areas for a plurality of the geometric areas and calculate a sum of areas of the plurality of the geometric areas, the processor utilizing the sum to identify the subject of the candidate geometric regions that cover the greatest area.

15. The system of claim 10, wherein the processor is further configured to determine centroids for a plurality of the geometric areas.

16. The system of claim 10, wherein the processor is further configured to assign a plurality of geometric areas to include vertices corresponding to the map points, at least a portion of the geometric areas further including map points within an interior portion of the geometric areas.

17. The system of claim 10, wherein the processor is further configured to assign, as the geometric areas, a plurality of candidate triangular area combinations, including overlapping triangular areas and non-overlapping triangular areas.

18. The system of claim 10, wherein the geometric area represents a triangular area, and the processor assigns a select map point to one or more triangular areas when the select map point falls within distance limits of neighboring map points.

19. The system of claim 10, a display configured to display the assigned map points.

20. The system of claim 10, wherein the mechanical behavior corresponds to strain.