INFORMATION PROCESSING SYSTEM, INFORMATION PROCESSING METHOD, INFORMATION PROCESSING APPARATUS, AND CONTROL METHOD AND CONTROL PROGRAM THEREOF

• US 20140176602A1
• Filed: 08/17/2012
• Published: 06/26/2014
• Est. Priority Date: 08/18/2011
• Status: Abandoned Application

• Current Assignee: NEC Corporation
• Original Assignee: NEC Corporation
• Inventors: Yoshihara, Yoshiko, Kiyuna, Tomoharu, Sano, Toru, Kamjo, Kenichi
• Application Number:
  US14/239,076
• Publication Number:
  US 20140176602A1
• Time in Patent Office: Days
• US Class Current: 345/629
• CPC Class Codes: A61B 5/0033 Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room image data processing or generation G06T
• CPC Class Codes: G06T 11/60 Editing figures and text; Combining figures or text
• CPC Class Codes: G06T 7/0014 using an image reference approach
• CPC Class Codes: G06V 20/695 Preprocessing, e.g. image segmentation
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems

Abstract

Provided is an information processing apparatus which supports diagnosis based on a tissue specimen image obtained by capturing body tissues, including an area generation unit that divides at least one feature value of the tissue specimen image into a plurality of levels based on a magnitude of the feature value, and generates an area on the tissue specimen image belonging to each level; and an overlay image generation unit that associates the area of each level which is generated by the area generation unit with an image which is processed to have the same shape and the same positional relation as the area and in which a magnitude relation of the feature value is identifiable and generates an overlay image.

Claims

1. An information processing apparatus which supports diagnosis based on a tissue specimen image obtained by capturing body tissues, comprising:

an area generation unit that divides at least one feature value of the tissue specimen image into a plurality of levels based on a magnitude of the feature value, and generates an area on the tissue specimen image belonging to each level; and

an overlay image generation unit that associates the area of each level which is generated by the area generation unit with an image which is processed to have the same shape and the same positional relation as the area and in which a magnitude relation of the feature value is identifiable, and generates an overlay image.

2. The information processing apparatus according to claim 1,

wherein the feature value includes a degree of differentiation representing a degree of differentiation of cancer cells, a grade that is an evaluation of a histopathological grade of cancer cells, a nuclear grade which is an evaluation by a size or a shape of a cell nucleus, a structural grade representing a degree of gland tube formation, a number or percentage of occurrences of nuclear fission of the cell nucleus, a degree of mucus secreted from a mucosa and a gland, and a possibility of a signet-ring cell cancer, and any combination thereof.

3. The information processing apparatus according to claim 1,

wherein the overlay image generation unit allocates to the area, an image having different hues of color, an image having different brightnesses of color, or an image having a pattern with different degrees of attention, as the image in which the magnitude relation of the feature value is identifiable.

4. The information processing apparatus according to claim 3,

wherein when there are a plurality of feature values, the overlay image generation unit allocates different colors or different patterns to the different feature values.

5. The information processing apparatus according to claim 4,

wherein the area generation unit divides each of three feature values of the tissue specimen image into a plurality of levels based on the magnitude of the feature value, and generates an area on the tissue specimen image belonging to each level, and

wherein the overlay image generation unit allocates one of three primary colors of light to each of the three feature values, and generates three overlay images.

6. The information processing apparatus according to claim 5,

wherein the three feature values are a nuclear grade of a cell nucleus, a structural grade of a gland tube, and a degree of secreted mucus.

7. The information processing apparatus according to claim 1, further comprising:

a tissue specimen image reception unit that receives the tissue specimen image through a network; and

an overlay image transmission unit that transmits the overlay image generated by the overlay image generation unit through the network.

8. The information processing apparatus according to claim 1, further comprising:

a feature value selection unit that selects at least one feature value,

wherein the area generation unit divides the selected feature value into a plurality of levels based on the magnitude of the feature value, and generates an area on the tissue specimen image belonging to each level, and

wherein the overlay image generation unit generates overlay images respectively corresponding to the selected feature values.

9. The information processing apparatus according to claim 8, further comprising:

a specific information reception unit that receives specific information for specifying the tissue specimen image,

wherein the feature value selection unit selects at least one feature value, based on the received specific information.

10. The information processing apparatus according to claim 1, further comprising:

an image selection unit that selects an allocation image including an image in which the magnitude of the feature value is identifiable,

wherein the overlay image generation unit allocates the each selected allocation image to the area of each level generated by the area generation unit.

11. The information processing apparatus according to claim 1, further comprising:

a magnification selection unit that selects a magnification of the tissue specimen image according to the feature value of the area, in response to an instruction for the area; and

a magnification transmission unit that transmits the magnification selected by the magnification selection unit in association with the area through the network.

12. The information processing apparatus according to claim 1,

wherein the tissue specimen image includes a plurality of tissue specimen images, and

the overlay image generation unit allocates the same image to an area having the same level of the same feature value.

13. A control method of an information processing apparatus which supports diagnosis based on a tissue specimen image obtained by capturing body tissues, comprising:

an area generation step of dividing at least one feature value of the tissue specimen image into a plurality of levels based on a magnitude of the feature value, and generating an area on the tissue specimen image belonging to each level; and

an overlay image generation step of associating the area of each level which is generated in the area generation step with an image which is processed to have the same shape and the same positional relation as the area and in which a magnitude relation of the feature value is identifiable, and generating an overlay image.

14. A non-transitory computer readable medium storing a control program of an information processing apparatus which supports diagnosis based on a tissue specimen image obtained by capturing body tissues, the program causing a computer to implement:

an area generation step of dividing at least one feature value of the tissue specimen image into a plurality of levels based on a magnitude of the feature value, and generating an area on the tissue specimen image belonging to each level; and

an overlay image generation step of associating the area of each level which is generated in the area generation step with an image which is processed to have the same shape and the same positional relation as the area and in which a magnitude relation of the feature value is identifiable, and generating an overlay image.

15. An information processing system which supports diagnosis based on a tissue specimen image obtained by capturing body tissues, comprising:

an input unit that inputs the captured tissue specimen image;

an area generation unit that divides at least one feature value of the tissue specimen image into a plurality of levels based on a magnitude of the feature value, and generates an area on the tissue specimen image belonging to each level;

an overlay image generation unit that associates the area of each level which is generated by the area generation unit with an image which is processed to have the same shape and the same positional relation as the area and in which a magnitude relation of the feature value is identifiable, and generates an overlay image; and

a superimposing and displaying unit that superimposes the overlay image generated by the overlay image generation unit on the tissue specimen image, and displays the superimposed image.

16. An information processing method which supports diagnosis based on a tissue specimen image obtained by capturing body tissues, comprising:

an input step of inputting the captured tissue specimen image;

an area generation step of dividing at least one feature value of the tissue specimen image into a plurality of levels based on a magnitude of the feature value, and generating an area on the tissue specimen image belonging to each level;

an overlay image generation step of associating the area of each level which is generated in the area generation step with an image which is processed to have the same shape and the same positional relation as the area and in which a magnitude relation of the feature value is identifiable, and generating an overlay image; and

a superimposing and displaying step of superimposing the overlay image generated in the overlay image generation step on the tissue specimen image, and displaying the superimposed image.