Image processing apparatus, image processing method and storage medium
AssigneeCanon Kabushiki Kaisha
InventorHiroshi Imamura
Life of this patent
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Abstract
An image processing apparatus includes: an acquisition unit configured to acquire a tomogram of an eye portion of a patient to be examined; an information acquisition unit configured to acquire information of a predetermined portion and position information of a predetermined tissue structure from the tomogram; and a calculation unit configured to calculate an evaluation value based on a relationship between the information of the predetermined portion and a position of the predetermined tissue structure.
Claims18
An image processing apparatus comprising:
- a processor;
- and
- a memory storing a program executed by the processor, wherein the processor and the memory are operatively coupled to function as units comprising:
- (1) an acquisition unit configured to acquire a tomogram of a fundus of an eye to be examined, wherein the tomogram includes a cribrosa lamina and at least one tissue other than the cribrosa lamina;
- (2) a detection unit configured to extract at least an inner limiting membrane in the tomogram and detect the cribrosa lamina in the tomogram acquired by the acquisition unit, wherein the detection unit detects a Mariotte blind spot in the tomogram and detects an area having luminance being larger than a threshold in the detected Mariotte blind spot as the cribrosa lamina, wherein the area is located deeper than the inner limiting membrane in the tomogram;
- and
- (3) a calculation unit configured to calculate a thickness of the cribrosa lamina detected by the detection unit;
- and
- (4) a comparison unit configured to compare the thickness of the cribrosa lamina calculated by the calculation unit with a reference value of the thickness of the cribrosa lamina.
A processor-implemented image processing method comprising:
- an acquisition step of acquiring a tomogram of a fundus of an eye to be examined, wherein the tomogram includes a cribrosa lamina and at least one tissue other than the cribrosa lamina;
- an extraction step of extracting at least an inner limiting membrane in the tomogram;
- a detection step of detecting the cribrosa lamina in the tomogram acquired in the acquisition step, wherein the detection step detects a Mariotte blind spot in the tomogram and detects an area having luminance being larger than a threshold in the detected Mariotte blind spot as the cribrosa lamina, wherein the area is located deeper than the inner limiting membrane in the tomogram;
- a calculation step of calculating a thickness of the cribrosa lamina detected in the detection step;
- and
- a comparison step of comparing the thickness of the cribrosa lamina calculated by the calculation step with a reference value of the thickness of the cribrosa lamina.
A non-transitory computer-readable storage medium storing a program for controlling a computer to execute respective steps of an image processing method, the method comprising:
- an acquisition step of acquiring a tomogram of a fundus of an eye to be examined, wherein the tomogram includes a cribrosa lamina and at least one tissue other than the cribrosa lamina;
- an extraction step of extracting at least an inner limiting membrane in the tomogram;
- a detection step of detecting the cribrosa lamina in the tomogram acquired in the acquisition step, wherein the detection step detects a Mariotte blind spot in the tomogram and detects an area having luminance being larger than a threshold in the detected Mariotte blind spot as the cribrosa lamina, wherein the area is located deeper than the inner limiting membrane in the tomogram;
- a calculation step of calculating a thickness of the cribrosa lamina detected in the detection step;
- and
- a comparison step of comparing the thickness of the cribrosa lamina calculated by the calculation step with a reference value of the thickness of the cribrosa lamina.
An image processing apparatus comprising:
- a processor;
- and
- a memory storing a program executed by the processor,
- wherein the processor and the memory are operatively coupled to function as units comprising:
- (1) an acquisition unit configured to acquire a tomogram of a fundus of an eye to be examined, wherein the tomogram includes a cribrosa lamina and at least one tissue other than the cribrosa lamina;
- (2) a detection unit configured to extract at least an inner limiting membrane and to detect the cribrosa lamina in the tomogram acquired by the acquisition unit, wherein the cribrosa lamina is located deeper than the inner limiting membrane in the tomogram;
- (3) a calculation unit configured to calculate (a) a thickness of the cribrosa lamina detected by the detection unit and (b) a roughened pattern of a boundary of the cribrosa lamina detected by the detection unit;
- and
- (4) an evaluation unit configured to evaluate a visual function of the eye using (a) the thickness of the cribrosa lamina and a reference value of the thickness of the cribrosa lamina and (b) the roughened pattern of the boundary of the cribrosa lamina and a reference value of the roughened pattern of the boundary of the cribrosa lamina.
An image processing apparatus comprising:
- a processor;
- and
- a memory storing a program executed by the processor,
- wherein the processor and the memory are operatively coupled to function as units comprising:
- (1) an acquisition unit configured to acquire a tomogram of a fundus of an eye to be examined, wherein the tomogram includes a cribrosa lamina and at least one tissue other than the cribrosa lamina;
- (2) a detection unit configured to extract at least an inner limiting membrane and to detect the cribrosa lamina in the tomogram acquired by the acquisition unit, wherein the detection unit detects a Mariotte blind spot in the tomogram and detects an area having luminance being larger than a threshold in the detected Mariotte blind spot as the cribrosa lamina, wherein the area is located deeper than the inner limiting membrane in the tomogram;
- (3) a calculation unit configured to calculate a thickness of the cribrosa lamina detected by the detection unit;
- and
- (4) an information acquisition unit configured to acquire information associated with a visual function of the eye to be examined based on the thickness of the cribrosa lamina.
A processor-implemented image processing method comprising:
- an acquisition step of acquiring a tomogram of a fundus of an eye to be examined, wherein the tomogram includes a cribrosa lamina and at least one tissue other than the cribrosa lamina;
- a detection step of extracting at least an inner limiting membrane and of detecting the cribrosa lamina in the tomogram acquired in the acquisition step, wherein the detection step detects a Mariotte blind spot in the tomogram and detects an area having luminance being larger than a threshold in the detected Mariotte blind spot as the cribrosa lamina, wherein the area is located deeper than the inner limiting membrane in the tomogram;
- a calculation step of calculating a thickness of the cribrosa lamina detected in the detection step;
- and
- an information acquisition step of acquiring information associated with a visual function of the eye to be examined based on the thickness of the cribrosa lamina.
A non-transitory computer-readable storage medium storing a program for controlling a computer to execute respective steps of an image processing method, the method comprising:
- an acquisition step of acquiring a tomogram of a fundus of an eye to be examined, wherein the tomogram includes a cribrosa lamina and at least one tissue other than the cribrosa lamina;
- a detection step of extracting at least an inner limiting membrane and of detecting the cribrosa lamina in the tomogram acquired in the acquisition step, wherein the detection step detects a Mariotte blind spot in the tomogram and detects an area having luminance being larger than a threshold in the detected Mariotte blind spot as the cribrosa lamina, wherein the area is located deeper than the inner limiting membrane in the tomogram;
- a calculation step of calculating a thickness of the cribrosa lamina detected in the detection step;
- and
- an information acquisition step of acquiring information associated with a visual function of the eye to be examined based on the thickness of the cribrosa lamina.
Dependencies are inferred from the claim text.