Apparatus and method for diagnosis

• US 10,185,808 B2
• Filed: 05/10/2017
• Issued: 01/22/2019
• Est. Priority Date: 11/16/2012
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Park, Jin-Man, Woo, Kyoung-Gu
• Primary Examiner(s): Vu, Kim
• Assistant Examiner(s): Delaney, Molly
• Application Number:
  US15/591,776
• Publication Number:
  US 20170262600A1
• Time in Patent Office: 622 Days
• CPC Class Codes: G06T 2207/30068 Mammography; Breast
• CPC Class Codes: G06T 2207/30096 Tumor; Lesion
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

There are provided an apparatus and method for diagnosis using a medical image. The apparatus includes: an analyzing unit configured to detect a lesion area, and generate a group of candidate lesion areas with respect to the detected lesion area; and an interface unit configured to arrange one or more candidate lesion areas selected among the group of candidate lesion areas with information about each of the one or more selected candidate lesion areas in a first region of an interface.

Claims

1. An apparatus, comprising:

a memory configured to store instructions;

a display; and

at least one processor, electrically coupled to the memory and the display, configured to execute the stored instructions to;

identify, based on detecting a lesion area within a medical image, a first reference lesion area with a first priority and a second reference lesion area with a second priority that is higher than the first priority from data that is pre-stored in the apparatus and has been obtained independently from the medical image, the first reference lesion area and the second reference lesion area associated with the detected lesion area, and

display the first reference lesion area included in a first frame and the second reference lesion area included in a second frame within a first region of an interface and the detected lesion area within a second region of the interface,

wherein the displayed second frame is highlighted relative to the displayed first frame.

2. The apparatus of claim 1, wherein the second frame is highlighted by displaying at least a portion of the second frame in a second color that is different than a first color of the display of the first frame.

3. The apparatus of claim 2, wherein the second color is brighter than, darker than, or different color than the first color.

4. The apparatus of claim 1, wherein the first reference lesion area included in the first frame and the second reference lesion area included in the second frame have different degrees of darkness.

5. The apparatus of claim 1,

wherein the at least one processor is further configured to execute the stored instructions to display, based on class information, the first reference lesion area included in the first frame and the second reference lesion area included in the second frame, and

wherein the class information is used for indicating a degree of benignancy or malignancy of the first reference lesion area and the second reference lesion area.

6. The apparatus of claim 1, wherein the at least one processor is further configured to execute the stored instructions to display, within the first region of the interface, first information on a shape of the first reference lesion area and second information on a shape of the second reference lesion area.

7. The apparatus of claim 1, wherein the at least one processor is further configured to execute the stored instructions to:

display, in response to detecting an input for selecting a reference lesion area from among the first reference lesion area and the second reference lesion area, detailed information on the selected reference lesion area within a third region of the interface.

8. The apparatus of claim 7, wherein the detailed information comprises feature information comprising one or more feature categories on the selected reference lesion area, class information regarding the selected reference lesion area, or diagnostic result information regarding the selected reference lesion area.

9. The apparatus of claim 8, wherein the feature information further comprises one or more features corresponding to the one or more feature categories.

10. The apparatus of claim 9,

wherein the one or more feature categories comprise one or more of a shape, a margin, an echo pattern, an orientation, or a boundary of the selected reference lesion area, and

wherein the one or more features comprise one or more of an irregular shape, a round shape, or an oval shape.

11. A method of displaying in an apparatus, the method comprising:

identifying, based on detecting a lesion area within a medical image, a first reference lesion area with a first priority and a second reference lesion area with a second priority that is higher than the first priority from data that is pre-stored in the apparatus and has been obtained independently from the medical image, the first reference lesion area and the second reference lesion area associated with the detected lesion area; and

displaying the first reference lesion area included in a first frame and the second reference lesion area included in a second frame within a first region of an interface and the detected lesion area within a second region of the interface,

wherein the displayed second frame is highlighted relative to the displayed first frame.

12. The method of claim 11, wherein the second frame is highlighted by displaying at least a portion of the second frame in a second color that is different than a first color of the display of the first frame.

13. The method of claim 11, wherein the second color is brighter than, darker than, or different color than the first color.

14. The method of claim 11, wherein the first reference lesion area included in the first frame and the second reference lesion area included in the second frame have different degrees of darkness.

15. The method of claim 11,

wherein the displaying of the first reference lesion area and the second reference lesion area comprises displaying, based on class information, the first reference lesion area included in the first frame and the second reference lesion area included in the second frame, and

wherein the class information is used for indicating a degree of benignancy or malignancy of the first reference lesion area and the second reference lesion area.

16. The method of claim 11, further comprising:

displaying, within the first region of the interface, first information on a shape of the first reference lesion area and second information on a shape of the second reference lesion area.

17. The method of claim 11, further comprising:

displaying, in response to detecting an input for selecting a reference lesion area from among the first reference lesion area and the second reference lesion area, detailed information on the selected reference lesion area within a third region of the interface.

18. The method of claim 17, wherein the detailed information comprises feature information comprising one or more feature categories on the selected reference lesion area, class information regarding the selected reference lesion area, or diagnostic result information regarding the selected reference lesion area.

19. The method of claim 18, wherein the feature information further comprises one or more features corresponding to the one or more feature categories.

20. 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 at least one processor, configures the at least one processor to:

identify, based on detecting a lesion area within a medical image, a first reference lesion area with a first priority and a second reference lesion area with a second priority that is higher than the first priority from data that is pre-stored and has been obtained independently from the medical image, the first reference lesion area and the second reference lesion area associated with the detected lesion area; and

display the first reference lesion area included in a first frame and the second reference lesion area included in a second frame within a first region of an interface and the detected lesion area within a second region of the interface,

wherein the displayed second frame is highlighted relative to the displayed first frame.