Method, apparatus, and medical imaging system for segmenting image of object from image of organ

1. A method of segmenting an image of an object from an image of an organ, comprising:

generating a reference model of the object by using a priori knowledge related to the object of the organ, the a priori knowledge comprising medical images of the organ obtained from a plurality of persons;

determining whether a first image of the organ comprises a first area in which a shape of the object is unidentified;

in response to determining that the first image excludes the first area, segmenting a second image of the object from the first image; and

in response to determining that the first image comprises the first area, estimating a progression direction of the first area from the reference model to segment a second image of the object from the first image.

2. The method of claim 1 , further comprising:

updating the reference model based on the second image.

3. The method of claim 1 , wherein when the determining determines the first image to comprise the first area, the method further comprises:

estimating the progression direction of the first area by analyzing a characteristic of an area corresponding to the first area of the reference model to segment the second image from the first image.

4. The method of claim 3 , further comprising:

calculating a curvature or torsion degree of the area corresponding to the first area of the reference model,

wherein the progression direction of the first area is estimated by using the curvature or torsion degree to segment the second image from the first image.

5. The method of claim 1 , further comprising:

configuring the first area to comprise an area in which information about the object is lost.

6. The method of claim 1 , further comprising:

configuring the first area to comprise an area in which two or more individual branches forming the object overlap with each other.

7. The method of claim 1 , wherein the generating of the reference model of the object comprises:

obtaining an image indicating a shape of the organ;

obtaining the a priori knowledge of the object from statistical information of the obtained image of the organ; and

generating the reference model of the object by using the a priori knowledge.

8. The method of claim 1 , further comprising:

configuring the a priori knowledge of the object to comprise anatomical information of the object, the statistical information, or a combination thereof.

9. The method of claim 7 , further comprising:

configuring the a priori knowledge of the object to comprise anatomical information of the object, the statistical information, or a combination thereof.

10. A computer program embodied on a non-transitory computer readable medium, the computer program configured to control a processor to perform the method of claim 1 .

11. An apparatus to segment an image of an object from an image of an organ, comprising:

a reference model generator configured to generate a reference model of the object by using a priori knowledge related to the object of the organ, the a priori knowledge comprising medical images of the organ obtained from a plurality of persons;

a determiner configured to determine whether a first image of the organ comprises a first area in which a shape of the object is unidentified; and

an image segmenting part configured to segment a second image of the object from the first image in response to determining that the first image excludes the first area and to estimate a progression direction of the first area from the reference model to segment the second image from the first image in response to determining that the first image comprises the first area.

12. The apparatus of claim 11 , wherein the reference model generator updates the reference model with reference to the second image.

13. The apparatus of claim 11 , wherein in response to determining that the first image comprises the first area, the image segmenting part estimates the progression direction of the first area by analyzing a characteristic of an area corresponding to the first area of the reference model to segment the second image from the first image.

14. The apparatus of claim 13 , wherein the image segmenting part calculates a curvature or torsion degree of the area corresponding to the first area of the reference model and estimates the progression direction of the first area by using the curvature or torsion degree to segment the second image from the first image.

15. The apparatus of claim 11 , wherein the first area comprises an area in which information about the object is lost.

16. The apparatus of claim 11 , wherein the first area comprises an area in which t two or more individual branches forming the object overlap with each other.

17. The apparatus of claim 11 , wherein the reference model generator obtains an image indicating a shape of the organ, obtains the a priori knowledge of the object from statistical information of the obtained images or the organ, and generates the reference model of the object by using the a priori knowledge.

18. The apparatus of claim 11 , wherein the a priori knowledge of the object comprises anatomical information of the object, the statistical information, or a combination thereof.

19. The apparatus of claim 17 , wherein the a priori knowledge of the object comprises anatomical information of the object, the statistical information, or a combination thereof.