JP2019209136A5 - - Google Patents
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- JP2019209136A5 JP2019209136A5 JP2019097162A JP2019097162A JP2019209136A5 JP 2019209136 A5 JP2019209136 A5 JP 2019209136A5 JP 2019097162 A JP2019097162 A JP 2019097162A JP 2019097162 A JP2019097162 A JP 2019097162A JP 2019209136 A5 JP2019209136 A5 JP 2019209136A5
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- blood vessel
- dimensional
- motion contrast
- contrast data
- measurement value
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- 210000004204 blood vessel Anatomy 0.000 claims description 38
- 238000005259 measurement Methods 0.000 claims description 24
- 230000010365 information processing Effects 0.000 claims description 18
- 230000002792 vascular Effects 0.000 claims 5
- 238000000034 method Methods 0.000 claims 4
- 238000003672 processing method Methods 0.000 claims 3
- 238000004458 analytical method Methods 0.000 claims 2
- 230000011218 segmentation Effects 0.000 claims 1
- 230000002194 synthesizing effect Effects 0.000 claims 1
Description
本明細書に開示の情報処理装置の一つは、
眼底の３次元モーションコントラストデータを高画質化する高画質化手段と、
前記高画質化された３次元モーションコントラストデータの少なくとも一部における３次元の血管領域に関する情報を取得する取得手段と、
前記３次元の血管領域に関する情報を用いて、血管計測値を算出する算出手段と、を備える。
One of the information processing devices disclosed in this specification is
High image quality means to improve the image quality of 3D motion contrast data of the fundus,
An acquisition means for acquiring information on a three-dimensional blood vessel region in at least a part of the high-quality three-dimensional motion contrast data, and an acquisition means.
A calculation means for calculating a blood vessel measurement value using the information on the three-dimensional blood vessel region is provided.
Claims (16)
前記高画質化された３次元モーションコントラストデータの少なくとも一部における３次元の血管領域に関する情報を取得する取得手段と、
前記３次元の血管領域に関する情報を用いて、血管計測値を算出する算出手段と、
を備える、情報処理装置。 High image quality means to improve the image quality of 3D motion contrast data of the fundus,
An acquisition means for acquiring information on a three-dimensional blood vessel region in at least a part of the high-quality three-dimensional motion contrast data, and an acquisition means.
A calculation means for calculating a blood vessel measurement value using the information on the three-dimensional blood vessel region , and
An information processing device equipped with.
前記算出手段は、前記処理手段によりプロジェクションアーチファクトが低減された後の前記高画質化された３次元モーションコントラストデータの少なくとも一部における３次元の血管領域に関する情報を用いて、前記血管計測値を算出する、請求項１乃至３のいずれか１項に記載の情報処理装置。 Further provided with a processing means for performing a process of reducing projection artifacts on the high-quality three-dimensional motion contrast data.
The calculation means calculates the blood vessel measurement value using information about a three-dimensional blood vessel region in at least a part of the high-quality three-dimensional motion contrast data after the projection artifact is reduced by the processing means. The information processing apparatus according to any one of claims 1 to 3.
前記処理手段によりプロジェクションアーチファクトが低減された後の前記３次元モーションコントラストデータの少なくとも一部における３次元の血管領域に関する情報を取得する取得手段と、
前記３次元の血管領域に関する情報を用いて、血管計測値を算出する算出手段と、
を備える、情報処理装置。 A processing means that performs processing to reduce projection artifacts on the 3D motion contrast data of the fundus, and
An acquisition means for acquiring information about a three-dimensional vascular region in at least a part of the three-dimensional motion contrast data after the projection artifacts have been reduced by the processing means.
A calculation means for calculating a blood vessel measurement value using the information on the three-dimensional blood vessel region , and
An information processing device equipped with.
２次元領域における血管計測値であり、血管領域または無血管領域の面積、２次元の血管密度、２次元領域において計測した血管の径と長さと曲率とのうち少なくとも１つに基づく計測値のうち少なくとも１つである、請求項１乃至５のいずれか１項に記載の情報処理装置。 The blood vessel measurement value is a blood vessel measurement value in a three-dimensional space, and is a measurement based on at least one of the volume of the blood vessel, the density of the three-dimensional blood vessel, and the diameter, length, and curvature of the blood vessel measured in the three-dimensional space. At least one of the values , or
It is a blood vessel measurement value in a two-dimensional region, and is a measurement value based on at least one of the area of the blood vessel region or the avascular region, the two-dimensional blood vessel density, and the diameter, length, and curvature of the blood vessel measured in the two-dimensional region. The information processing apparatus according to any one of claims 1 to 5, which is at least one .
前記表示制御手段は、前記算出された血管計測値を時系列に沿って複数表示させる場合、前記識別情報に基づいて、３次元空間における血管計測値と２次元領域における血管計測値とが混在しないように前記表示部に表示させる、請求項９に記載の情報処理装置。 A display control means for displaying the calculated blood vessel measurement value on the display unit is further provided.
When the display control means displays a plurality of the calculated blood vessel measurement values in chronological order, the blood vessel measurement values in the three-dimensional space and the blood vessel measurement values in the two-dimensional region do not coexist based on the identification information. The information processing apparatus according to claim 9, wherein the information processing apparatus is displayed on the display unit as described above.
前記高画質化された３次元モーションコントラストデータの少なくとも一部における３次元の血管領域に関する情報を取得する取得工程と、
前記３次元の血管領域に関する情報を用いて、血管計測値を算出する算出工程と、
を含む、情報処理方法。 High image quality process to improve the image quality of 3D motion contrast data of the fundus,
The acquisition step of acquiring information on the three-dimensional blood vessel region in at least a part of the three-dimensional motion contrast data with high image quality, and the acquisition step.
A calculation step of calculating a blood vessel measurement value using the information on the three-dimensional blood vessel region , and
Information processing methods, including.
前記処理手段によりプロジェクションアーチファクトが低減された後の前記３次元モーションコントラストデータの少なくとも一部における３次元の血管領域に関する情報を取得する取得工程と、
前記３次元の血管領域に関する情報を用いて、血管計測値を算出する算出工程と、
を含む、情報処理方法。 A processing process that reduces projection artifacts for 3D motion contrast data of the fundus, and a processing process that reduces projection artifacts.
An acquisition step of acquiring information about a three-dimensional vascular region in at least a part of the three-dimensional motion contrast data after the projection artifact is reduced by the processing means.
A calculation step of calculating a blood vessel measurement value using the information on the three-dimensional blood vessel region , and
Information processing methods, including.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2019/020876 WO2019230643A1 (en) | 2018-05-31 | 2019-05-27 | Information processing device, information processing method, and program |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2018105487 | 2018-05-31 | ||
| JP2018105487 | 2018-05-31 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2019209136A JP2019209136A (en) | 2019-12-12 |
| JP2019209136A5 true JP2019209136A5 (en) | 2022-03-17 |
| JP7374615B2 JP7374615B2 (en) | 2023-11-07 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
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| JP2019097162A Active JP7374615B2 (en) | 2018-05-31 | 2019-05-23 | Information processing device, information processing method and program |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP7374615B2 (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111354031B (en) * | 2020-03-16 | 2023-08-29 | 浙江一木智能科技有限公司 | 3D vision guidance system based on deep learning |
| CN111493853A (en) * | 2020-04-24 | 2020-08-07 | 天津恒宇医疗科技有限公司 | Blood vessel parameter evaluation method and system for angiodermic diseases |
| US11972544B2 (en) * | 2020-05-14 | 2024-04-30 | Topcon Corporation | Method and apparatus for optical coherence tomography angiography |
| JP2023034400A (en) * | 2021-08-31 | 2023-03-13 | ＤｅｅｐＥｙｅＶｉｓｉｏｎ株式会社 | Information processing device, information processing method and program |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2013090194A (en) * | 2011-10-19 | 2013-05-13 | Sony Corp | Server device, image transmission method, terminal device, image receiving method, program, and image processing system |
| JP6602108B2 (en) * | 2015-08-27 | 2019-11-06 | キヤノン株式会社 | Ophthalmic apparatus, information processing method, and program |
| JP6922152B2 (en) * | 2015-10-21 | 2021-08-18 | 株式会社ニデック | Ophthalmology analyzer, ophthalmology analysis program |
| CA3014998C (en) * | 2016-02-19 | 2024-02-27 | Optovue, Inc. | Methods and apparatus for reducing artifacts in oct angiography using machine learning techniques |
| JP6703730B2 (en) * | 2016-06-16 | 2020-06-03 | 株式会社ニデック | Optical coherence tomography device and optical coherence tomography control program |
| JP7182350B2 (en) * | 2016-09-07 | 2022-12-02 | 株式会社ニデック | Ophthalmic analysis device, ophthalmic analysis program |
| US10123747B2 (en) * | 2016-11-21 | 2018-11-13 | International Business Machines Corporation | Retinal scan processing for diagnosis of a subject |
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