Apparatus and method for detecting error in lesion contour, apparatus and method for correcting error in lesion contour, and apparatus for inspecting error in lesion contour

1. An apparatus for correcting a contour of a lesion, the apparatus comprising:

a memory; and

at least one processor configured to:

extract a first contour of a lesion in a first image frame which is at least one of two dimensional image frames that form at least one three-dimensional image,

generate a reference lesion contour, in a target image frame which is subsequent to the first image frame, based on at least one portion of information about pixels in surroundings of the reference lesion contour,

modify the reference lesion contour to produce a plurality of lesion contour candidates, and

change at least one of the lesion contour candidates to a second contour of a lesion in the target image frame .

2. The apparatus of claim 1 , wherein the at least one processor is further configured to modify the reference lesion contour within a pre-set range to produce the lesion contour candidates.

3. The apparatus of claim 1 , wherein the at least one processor is further configured to:

calculate a similarity between the first contour of the lesion in the first image frame and the

at least one of the lesion contour candidates.

4. The apparatus of claim 1 , wherein the at least one processor is further configured to generate estimation information about the lesion contour candidates in the target image frame based on information about at least one lesion in at least one of the two-dimensional image frames that precedes the target image frame.

5. The apparatus of claim 1 , wherein the at least one processor is further configured to calculate pixel value that corresponds to the lesion contour candidates in the target image frame based on information about pixels in surroundings of the lesion contour candidates in the target image frame.

6. The apparatus of claim 4 , wherein the at least one processor is further configured to set, as the reference lesion contour, a lesion contour that is generated based on the estimation information about the lesion contour candidates in the target image frame.

7. The apparatus of claim 1 , wherein the at least one processor is further configured to compare at least one portion of information of the lesion contour candidates in the target image frame with at least one portion of information of at least one lesion in at least one of two-dimensional image frames that precedes the target image frame.

8. An apparatus for correcting a contour of a lesion, the apparatus comprising:

a memory; and

at least one processor configured to:

extract a first contour of a lesion in a first image frame which is at least one of two dimensional image frames that form at least one three-dimensional image,

generate a reference lesion contour in a target image frame which is subsequent to the first image frame,

modify the reference lesion contour to generate a plurality of lesion contour candidates, and

calculate a similarity between the first contour of the lesion in the first image frame and the at least one of the lesion contour candidates, and

change at least one of the lesion contour candidates to a second contour of a lesion in the target image frame.

9. The apparatus of claim 8 , wherein the at least one processor is further configured to generate the estimation information about the lesion contour candidates in the target image frame based on information about at least one lesion in at least one of the two-dimensional image frames that precedes the target image frame.

10. The apparatus of claim 8 , wherein the at least one processor is further configured to calculate pixel value that corresponds to the lesion contour candidates in the target image frame based on information about pixels in surroundings of the lesion contour candidates in the target image frame.

11. The apparatus of claim 8 , wherein the at least one processor is further configured to determine a presence or an absence of an error in the lesion contour candidates in the target image frame based on a result of a comparison between a predefined pixel value and the pixel value corresponding to the lesion contour candidates in the target image frame, or based on a distribution of pixel values that correspond to contours of lesions in the two-dimensional image frames.

12. The apparatus of claim 8 , wherein the at least one processor is further configured to:

determine a presence or an absence of an error in the lesion contour candidates in the target image frame based on a result of a comparison between detailed information about the lesion contour candidates in the target image frame and detailed information of estimation information about the lesion contour candidates in the target image frame, and

make a final determination on the presence or the absence of the error in the lesion contour candidates based on a result of the determination.

13. The apparatus of claim 8 , wherein the at least one processor is further configured to set, as the reference lesion contour, a lesion contour that is generated based on estimation information about the lesion contour candidates in the target image frame.

14. The apparatus of claim 6 , wherein the at least one processor is further configured to modify the reference lesion contour within a pre-set range to produce the lesion contour candidates.

15. A computer program product comprising a non-transitory computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to:

extract a first contour of a lesion in a first image frame which is at least one of two-dimensional image frames that form at least one three-dimensional image;

generate a reference lesion contour in a target image frame which is subsequent to the first image frame;

modify the reference lesion contour to produce a plurality of lesion contour candidates; and

change at least one of the lesion contour candidates to a second contour of a lesion in the target image frame.

16. The computer program product of claim 15 , wherein the computer readable program further causes the computing device to:

modify the reference lesion contour within a pre-set range to produce the lesion contour candidates.

17. The computer program product of claim 15 , wherein the computer readable program further causes the computing device to:

calculate a similarity between the first contour of the lesion in the first image frame and the at least one of lesion contour candidates.

18. The computer program product of claim 15 , wherein the computer readable program further causes the computing device to:

calculate pixel value that corresponds to the lesion contour candidates in the target image frame based on information about pixels in surroundings of the lesion contour candidates in the target image frame.