Oct signal processing device and oct signal processing program
US-2019380588-A1 · Dec 19, 2019 · US
US10674909B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10674909-B2 |
| Application number | US-201715696855-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 6, 2017 |
| Priority date | Sep 7, 2016 |
| Publication date | Jun 9, 2020 |
| Grant date | Jun 9, 2020 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
An ophthalmic analysis apparatus for analyzing OCT motion contrast (MC) image data of a subject's eye acquired using an OCT apparatus for ophthalmology includes analysis process means for analyzing the OCT MC image data, in which the analysis process means generates OCT blood vessel change data including temporal change information in relation to a blood vessel region of the subject's eye based on first OCT MC image data and second OCT MC image data acquired at mutually different times.
Opening claim text (preview).
What is claimed is: 1. An ophthalmic analysis method comprising: acquiring first optical coherence tomography (OCT) MC (motion contrast) image data of a subject's eye and second OCT MC image data of the subject's eye using at least one OCT apparatus for ophthalmology, the first OCT MC image data and the second OCT MC image data being acquired at different times; analyzing the acquired first OCT MC image data and second OCT MC image data to generate OCT blood vessel change data including temporal change information in relation to a blood vessel region of the subject's eye based on the first OCT MC image data and the second OCT MC image data; and wherein, as the OCT blood vessel change data, OCT blood vessel increase-and-decrease data which includes temporal change information in relation to at least one of increase-and-decrease of a blood vessel region of the subject's eye is generated based on the first OCT MC image data and the second OCT MC image data. 2. The ophthalmic analysis method according to claim 1 , wherein a position adjusting process is performed to adjust a position of the first OCT MC image data and a position of the second OCT MC image data in a depth direction, and the OCT blood vessel change data is generated based on the first OCT MC image data and the second OCT MC image data on which the position adjusting process is performed. 3. The ophthalmic analysis method according to claim 1 , wherein corrects a brightness difference between the first OCT MC image data and the second OCT MC image caused by an influence of sensitivity attenuation in the depth direction is corrected. 4. An ophthalmic analysis method comprising: acquiring first optical coherence tomography (OCT) MC (motion contrast) image data of a subject's eye and second OCT MC image data of the subject's eye using at least one OCT apparatus for ophthalmology, the first OCT MC image data and the second OCT MC image data being acquired at different times; analyzing the acquired first OCT MC image data and second OCT MC image data to generate OCT blood vessel change data including temporal change information in relation to a blood vessel region of the subject's eye based on the first OCT MC image data and the second OCT MC image data; and wherein OCT blood vessel increase-and-decrease data which includes the temporal change information in relation to the increase and the decrease of the blood vessel region of the subject's eye is generated based on the first OCT MC image data and the second OCT MC image data, and is displayed on a display unit in such a manner that increase of blood vessel region is different from the decrease of the blood vessel region in displaying forms. 5. The ophthalmic analysis method according to claim 1 , wherein the OCT blood vessel increase-and-decrease data includes the temporal change information in relation to at least one of vascularization and extinction of the blood vessel region of the subject's eye. 6. The ophthalmic analysis method according to claim 1 , wherein a segmentation result with respect to the first OCT MC image data is applied to the second OCT MC image data, and the OCT blood vessel change data in relation to a specific layer region is obtained. 7. The ophthalmic analysis method according to claim 1 , wherein in the OCT blood vessel change data, temporal change in relation to the blood vessel region of the subject's eye is divided in each section. 8. The ophthalmic analysis method according to claim 1 , wherein the OCT blood vessel change data includes the temporal change information in relation to the blood vessel region of the subject's eye in the specific layer region. 9. The ophthalmic analysis method according to claim 1 , wherein the analysis the first OCT MC image data and the second OCT MC image data are analyzed by an image process to acquire at least one of analysis parameters in relation to the first OCT MC image data and the second OCT MC image data, and at least one of the analysis parameters is displayed with the OCT blood vessel change data. 10. The ophthalmic analysis method according to claim 1 , wherein image data in which the OCT blood vessel change data is reflected to any one of the first OCT MC image data and the second OCT MC image data is displayed on a display unit. 11. The ophthalmic analysis method according to claim 1 , wherein the OCT blood vessel change data is generated based on a difference of luminance between first MC image data and second MC image data. 12. The ophthalmic analysis method according to claim 1 , wherein the first OCT MC image data and the second OCT MC image data acquired at different times are OCT MC image data of a fundus of the subject's eye. 13. An ophthalmic analysis apparatus comprising: a processor; and memory storing computer readable program, when executed by the processor, causing the ophthalmic analysis apparatus to execute: acquiring first optical coherence tomography (OCT) MC (motion contrast) image data of a subject's eye and second OCT MC image data of the subject's eye using at least one OCT apparatus for ophthalmology, the first OCT MC image data and the second OCT MC image data being acquired at different times; analyzing the acquired first OCT MC image data and second OCT MC image data to generate OCT blood vessel change data including temporal change information in relation to a blood vessel region of the subject's eye based on the first OCT MC image data and the second OCT MC image data; and wherein, as the OCT blood vessel change data, OCT blood vessel increase-and-decrease data which includes temporal change information in relation to at least one of increase-and-decrease of a blood vessel region of the subject's eye is generated based on the first OCT MC image data and the second OCT MC image data. 14. A non-transitory computer readable recording medium storing a computer readable program, when executed by a processor of an ophthalmic analysis apparatus, causing the ophthalmic analysis apparatus to execute: acquiring first optical coherence tomography (OCT) MC (motion contrast) image data of a subject's eye and second OCT MC image data of the subject's eye using at least one OCT apparatus for ophthalmology, the first OCT MC image data and the second OCT MC image data being acquired at different times; analyzing the acquired first OCT MC image data and second OCT MC image data to generate OCT blood vessel change data including temporal change information in relation to a blood vessel region of the subject's eye based on the first OCT MC image data and the second OCT MC image data; and wherein, as the OCT blood vessel change data, OCT blood vessel increase-and-decrease data which includes temporal change information in relation to at least one of increase-and-decrease of a blood vessel region of the subject's eye is generated based on the first OCT MC image data and the second OCT MC image data.
Range image; Depth image; 3D point clouds · CPC title
characterised by electronic signal processing, e.g. eye models · CPC title
Texture mapping · CPC title
specially adapted for observation of ocular blood flow, e.g. by fluorescein angiography · CPC title
Eye; Retina; Ophthalmic · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.