Blood vessel structure segmentation system and method

• US 20060211940A1
• Filed: 10/03/2005
• Published: 09/21/2006
• Est. Priority Date: 10/01/2004
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Antonelli, Marco, Delleplane, Silvana, Peretroukhine, Vadin
• Application Number:
  US11/240,624
• Publication Number:
  US 20060211940A1
• Time in Patent Office: Days
• US Class Current: 600/410
• CPC Class Codes: A61B 5/055 involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
• CPC Class Codes: A61B 6/481 involving the use of contrast agents
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 2207/20156 Automatic seed setting
• CPC Class Codes: G06T 2207/30101 Blood vessel; Artery; Vein; Vascular
• CPC Class Codes: G06T 7/11 Region-based segmentation

Abstract

The invention relates to a system and method for segmenting an image of a plurality of structures stored as a set of spatially related data points. The data points represent variations in a predetermined parameter which allows the segmentation to occur. Once the data is acquired, a seed point is selected indicating a structure of interest. Each of the data points is assigned a value of connectivity as to the confidence that it is part of the same structure of the seed point. An endpoint is selected of the structure of interest and a path is built between the seed point and the end point based on the values of connectivity. Planes are cut along the path and a final connectivity is determined using the data points located on each plane thereby producing a final segmented image.

Claims

1. A method of segmenting an image of a plurality of structures stored as a set of spatially related data points representing variations in a predetermined parameter, said method comprising the steps of:

selecting a seed point within a structure to be segmented,

assigning to each of the data points a preliminary value of connectivity indicative of the confidence that respective ones of the data points are part of the same structure as said seed point,

selecting an end point within the structure to be segmented,

defining a connected sequence of data points having a preliminary connectivity value above a predetermined value, starting with said seed point and ending with said end point,

defining for each data point of said connected sequence of data points an associated set of points, and

assigning to said each data point of said connected sequence of data points a final value of connectivity indicative of the confidence that respective points of said associated set of points are part of the same structure as said seed point and said end point.

2. The method of claim 1 wherein said associated set of points define a plane passing through the respective data point of said connected sequence of data points.

3. The method of claim 2 wherein each said plane is normal to a respective vector passing through said respective data point of said connected sequence of data points.

4. The method of claim 2 wherein said associated set of points defines a pair of orthogonal planes passing through the respective data point of said connected sequence of data points, and said final values of connectivity are indicative of the confidence that respective minimum connectivity values of values assigned in an initial pass along a first of said pair of orthogonal planes and a second pass along a second of said pair of orthogonal planes are part of the same structure as said seed point and said end point.

5. The method of claim 1 further comprising the step of displaying said connected sequence of data points for illustrating either said preliminary or said final values of connectivity.

6. The method of claim 1 wherein said preliminary values of connectivity are determined according to a function of the variation of a predetermined characteristic along a path from said seed point to the respective data point.

7. The method of claim 1 wherein the determination of said final values of connectivity comprises discarding nearby structures not fully connected to said structure to be segmented.

8. The method of claim 1 wherein the determination of said final values of connectivity comprising filtering said data points.

9. The method of claim 1 wherein said final value of connectivity is determined according to the following steps:

for each data point after said seed point, determining a local direction from the preceding data point to the current data point;

determining said plane wherein said plane is normal to said local direction;

computing a value of connectivity for each data points in said area on said plane; and

assigning said final value of connectivity for said data point based on the values of connectivity for said data points in said area.

10. An imaging apparatus comprising:

a data storage having a set of spatially related data points representing variations in a predetermined parameter,

a first comparator to compare a value of said predetermined parameter at said data points with that of a seed point part of a structure and establish a preliminary value of connectivity indicative of the confidence that respective ones of said data points are part of the same structure as said seed point, and

a second comparator to compare said preliminary value of connectivity of a sequence of said data points connecting said seed point to an end point part of said structure with that of a set of points associated with respective ones of said data points to establish a final value of connectivity indicative of the confidence that respective ones of said data points are part of the same structure as said seed point and said end point.

11. The apparatus of claim 10 wherein said associated set of points define a plane passing through the respective data point connecting said seed point to an end point.

12. The apparatus of claim 10 further comprising a display for displaying a mapping of said data points to show said preliminary and final values of connectivity.

13. The apparatus of claim 10 wherein each said comparator further comprises a filter for filtering said data points.

14. The apparatus of claim 10 wherein each said comparator chooses a plane normal to a vector passing through each said data point.

15. The apparatus of claim 10 wherein each said comparator comprises a fuzzy logic module for performing fuzzy logic concepts in determining said preliminary and final values of connectivity.