Method and apparatus for automatically adjusting user input left ventricle points

• US 8,319,770 B2
• Filed: 07/11/2008
• Issued: 11/27/2012
• Est. Priority Date: 07/11/2008
• Status: Active Grant

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Friedman, Zvi M., Lysyansky, Peter, Smirin, Nahum
• Primary Examiner(s): Broome, Said
• Assistant Examiner(s): KAU, JANICE W
• Application Number:
  US12/172,097
• Publication Number:
  US 20100010347A1
• Time in Patent Office: 1,600 Days
• Field of Search: None
• US Class Current: 345/418
• CPC Class Codes: A61B 6/503 for diagnosis of the heart
• CPC Class Codes: A61B 8/08 Detecting organic movements or changes, e.g. tumours, cysts, swellings A61B8/02 - A61B8/06 take precedence
• CPC Class Codes: A61B 8/0883 for diagnosis of the heart
• CPC Class Codes: A61B 8/469 for selection of a region of interest
• CPC Class Codes: G06T 2207/10132 Ultrasound image
• CPC Class Codes: G06T 2207/20101 Interactive definition of point of interest, landmark or seed
• CPC Class Codes: G06T 2207/30048 Heart; Cardiac
• CPC Class Codes: G06T 7/70 Determining position or orientation of objects or cameras camera calibration G06T7/80

Abstract

A method and system for optimizing user input points that identify points within an image of a left ventricle of a heart includes identifying user input points on an image. The user input points include an apical point and left and right basal points positioned proximate to an endocardium of a left ventricle. An adjusted apical point is determined based on at least an autocorrelation of points in the image proximate to the apical point. The adjusted apical point is displayed on the image.

Claims

1. A method for optimizing user input points that identify points within an image of a left ventricle of a heart, the method comprising:

identifying user input points on a single image, wherein the user input points comprise an apical point, a left basal point and a right basal point positioned proximate to an endocardium of a left ventricle using a processor;

determining an adjusted apical point, using the left and right basal points, the adjusted apical point based on at least an autocorrelation of points located on a line defined by the left and right basal points, in the single image proximate to the apical point using the processor; and

displaying, on a display device, the adjusted apical point on the single image.

2. The method of claim 1, wherein the points in the image are defined along a line extending between the apical point and an edge of the image proximate to the apical point, the line being configured to intersect a middle point between the left and right basal points, wherein the determining the adjusted apical point further comprises:

temporally averaging values associated with the points over a period of time;

autocorrelating the temporally averaged values; and

determining an intersection point on the line based on a change in autocorrelation values determined for consecutive points along the line, the adjusted apical point being further determined based on the intersection point.

3. The method of claim 1, wherein the determining the adjusted apical point further comprises:

determining an intersection point based on a change in autocorrelation values determined for consecutive points along a line extending between the apical point and an edge of the image proximate to the apical point, the line being configured to intersect a middle point between the left and right basal points; and

identifying a width between the endocardium and an epicardium of the left ventricle based on the apical point and the left and right basal points, the adjusted apical point being further determined based on the intersection point and the width.

4. The method of claim 1, further comprising adjusting at least one of the left basal point and the right basal point based on a left leaflet and a right leaflet, respectively, of a mitral valve, wherein the left leaflet is located proximate to the left basal point and the right leaflet is located proximate to the right basal point.

5. The method of claim 1, further comprising:

determining a left leaflet shape of a left leaflet of a mitral valve, the left leaflet being located proximate to the left basal point;

extending border lines from the adjusted apical point through each of a plurality of points located proximate to the left basal point, the plurality of points having a center of gravity point corresponding to the left basal point, the border lines intersecting the left leaflet shape at intersection points, the plurality of points being adjusted based on the intersection points, the center of gravity point being adjusted based on the adjusted plurality of points; and

adjusting the left basal point based on the adjusted center of gravity point.

6. The method of claim 1, wherein the image comprises one of a two chamber view and a four chamber view, the method further comprising:

determining a right leaflet shape based on a best fit equation, the right leaflet shape forming a shape of a right leaflet of a mitral valve, the right leaflet being located proximate to the right basal point;

extending border lines from the adjusted apical point through each of a plurality of points located proximate to the right basal point, the plurality of points having a center of gravity point corresponding to the right basal point, the border lines intersecting the right leaflet shape at intersection points, the plurality of points being adjusted based on the intersection points, the center of gravity point being adjusted based on the adjusted plurality of points; and

adjusting the right basal point based on the adjusted center of gravity point.

7. The method of claim 1, further comprising:

adjusting a plurality of points based on intersection points between a left leaflet shape based on a best fit equation and border lines extending from the adjusted apical point, each of the border lines extending through a point within the plurality of points, the left leaflet shape forming a shape of a left leaflet of the mitral valve, the plurality of points located proximate to the left basal point and having a center of gravity point corresponding to the left basal point;

determining a first average distance between the plurality of points and the center of gravity point and a second average distance between an adjusted plurality of points and an adjusted center of gravity point, respectively, the adjusted center of gravity point being based on the adjusted plurality of points; and

positioning the left basal point at the adjusted center of gravity point when the second average distance is less than the first average distance.

8. The method of claim 1, wherein the image comprises an apical long axis (APLAX) view, the method further comprising:

defining a plurality of points located proximate to the right basal point, the plurality of points having a center of gravity point located at the right basal point; and

adjusting the plurality of points based on a first point located between the left basal point and the adjusted apical point and a second point located between the left basal point and the right basal point, the right basal point being adjusted based on an adjusted center of gravity point associated with the adjusted plurality of points.

9. The method of claim 1, further comprising automatically defining on the image at least one of the endocardium and an epicardium of the left ventricle based on the adjusted apical point and the left and right basal points.

10. The method of claim 1, wherein determining an adjusted apical point using the left and right basal points further comprises:

defining a first line between the left and right basal points;

identifying a centerpoint in the first line; and

defining a second line between the centerpoint and an edge of the image, the second line extending from the centerpoint, through the apical point, to the edge of the image, the adjusted apical point based on at least an autocorrelation of points located along the second line.

11. The method of claim 1, wherein determining an adjusted apical point using the left and right basal points further comprises:

defining a centerpoint in a first line extending between the left and right basal points;

defining a second line between the centerpoint and an edge of the image;

defining a non-stationary point on the second line;

defining a stationary point on the second line; and

autocorrelating the non-stationary point with the stationary point to generate the adjusted apical point on the second line.

12. The method of claim 1, wherein determining an adjusted apical point using the left and right basal points further comprises:

defining a line that extends through the apical point, a non-stationary point located on the left ventricle, and a stationary point located on a region outside the left ventricle;

a and

generating the adjusted apical point based on the line, the adjusted apical being located on the line between the non-stationary point and the stationary point.