JP2018079208A5 - - Google Patents
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- JP2018079208A5 JP2018079208A5 JP2016224983A JP2016224983A JP2018079208A5 JP 2018079208 A5 JP2018079208 A5 JP 2018079208A5 JP 2016224983 A JP2016224983 A JP 2016224983A JP 2016224983 A JP2016224983 A JP 2016224983A JP 2018079208 A5 JP2018079208 A5 JP 2018079208A5
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- blood vessel
- image
- fundus
- dimensional tomographic
- display
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- 210000004204 Blood Vessels Anatomy 0.000 claims description 46
- 238000011156 evaluation Methods 0.000 claims description 24
- 238000004458 analytical method Methods 0.000 claims description 5
- 210000004220 Fundus Oculi Anatomy 0.000 claims description 4
- 238000003672 processing method Methods 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 claims 6
- 230000000875 corresponding Effects 0.000 claims 2
- 238000005259 measurement Methods 0.000 claims 2
- 238000001514 detection method Methods 0.000 claims 1
- 230000001678 irradiating Effects 0.000 claims 1
- 239000000203 mixture Substances 0.000 claims 1
Description
本発明の画像処理装置の一つは、被検眼の眼底の3次元断層画像を解析することにより、前記眼底の形状に係る形状情報を取得する解析手段と、前記形状情報を用いて、前記3次元断層画像との位置関係が対応付いている前記眼底の血管画像に含まれる血管を評価する評価手段と、前記評価手段による血管の評価結果を示す情報を表示部に表示する制御を行う表示制御手段とを有する。
本発明の画像処理装置における他の態様の一つは、被検眼の眼底の3次元断層画像を解析することにより、前記眼底の形状に係る形状情報を取得する解析手段と、前記形状情報を用いて、前記3次元断層画像との位置関係が対応付いている前記眼底の血管画像に含まれる血管を評価する評価手段とを有する。
また、本発明は、上述した画像処理装置による画像処理方法、及び、当該画像処理方法をコンピュータに実行させるためのプログラムを含む。
One of the image processing apparatus of the present invention, using by analyzing the fundus of the three-dimensional tomographic image of the eye, and analyzing means for obtaining shape information of the shape of the fundus, the shape information, the 3 Evaluation means for evaluating a blood vessel included in the blood vessel image of the fundus oculi, which is associated with a positional relationship with a three-dimensional tomographic image, and display control for performing control for displaying information indicating a blood vessel evaluation result by the evaluation means on a display unit Means.
Another aspect of the image processing apparatus according to the present invention is to use an analysis unit that obtains shape information on the shape of the fundus by analyzing a three-dimensional tomographic image of the fundus of the eye to be inspected, and using the shape information. Evaluating means for evaluating a blood vessel included in the blood vessel image of the fundus oculi, which is associated with the positional relationship with the three-dimensional tomographic image .
The present invention also includes an image processing method using the above-described image processing apparatus, and a program for causing a computer to execute the image processing method.
Claims (19)
前記形状情報を用いて、前記3次元断層画像との位置関係が対応付いている前記眼底の血管画像に含まれる血管を評価する評価手段と、
前記評価手段による血管の評価結果を示す情報を表示部に表示する制御を行う表示制御手段と
を有することを特徴とする画像処理装置。 An analyzing unit that obtains shape information on the shape of the fundus by analyzing a three-dimensional tomographic image of the fundus of the subject's eye;
Using the shape information, an evaluation unit that evaluates a blood vessel included in the blood vessel image of the fundus associated with the positional relationship with the three-dimensional tomographic image ;
A display control unit for performing control for displaying information indicating a blood vessel evaluation result by the evaluation unit on a display unit.
前記形状情報を用いて、前記3次元断層画像との位置関係が対応付いている前記眼底の血管画像に含まれる血管を評価する評価手段と
を有することを特徴とする画像処理装置。 An analyzing unit that obtains shape information on the shape of the fundus by analyzing a three-dimensional tomographic image of the fundus of the subject's eye;
An evaluation unit configured to evaluate a blood vessel included in the blood vessel image of the fundus oculi, which is associated with the positional relationship with the three-dimensional tomographic image , using the shape information.
前記評価手段は、前記3次元断層画像と前記血管画像との位置合わせを行った後に、前記血管を評価することを特徴とする請求項1乃至8のいずれか1項に記載の画像処理装置。 Means for aligning the three-dimensional tomographic image and the blood vessel image, thereby associating a positional relationship between the three-dimensional tomographic image and the blood vessel image,
The image processing apparatus according to claim 1, wherein the evaluation unit evaluates the blood vessel after performing alignment between the three-dimensional tomographic image and the blood vessel image.
前記眼底に係る第2の撮像信号を用いて前記血管画像を生成する第2の生成手段と、
を更に有することを特徴とする請求項1乃至12のいずれか1項に記載の画像処理装置。 A first generating means for generating said 3-dimensional tomographic image using the first image pickup signal according to the prior SL fundus,
And second generating means for generating the blood vessel image using a second image pickup signal according to the prior SL fundus,
Further comprising an image processing apparatus according to any one of claims 1 to 12, wherein the.
前記第2の生成手段は、前記異なる日時に前記眼底を撮影することにより得られた複数の第2の撮像信号を取得し、前記複数の第2の撮像信号を用いて複数の前記血管画像を生成し、
前記解析手段は、前記複数の3次元断層画像におけるそれぞれの3次元断層画像を解析することにより、それぞれの3次元断層画像ごとに前記形状情報を取得し、
前記評価手段は、前記解析手段で取得されたそれぞれの前記形状情報を用いて、前記複数の血管画像におけるそれぞれの血管画像に含まれる血管を評価することを特徴とする請求項13に記載の画像処理装置。 The first generation unit acquires a plurality of first imaging signals obtained by imaging the fundus at different dates and times, and uses the plurality of first imaging signals to acquire a plurality of the three-dimensional tomographic images. Produces
The second generation unit acquires a plurality of second imaging signals obtained by photographing the fundus at the different dates and times, and uses the plurality of second imaging signals to generate a plurality of the blood vessel images. Generate
The analyzing means obtains the shape information for each of the three-dimensional tomographic images by analyzing each of the three-dimensional tomographic images in the plurality of three-dimensional tomographic images,
14. The image according to claim 13 , wherein the evaluation unit evaluates a blood vessel included in each blood vessel image in the plurality of blood vessel images, using each of the shape information acquired by the analysis unit. Processing equipment.
前記第1の生成手段は、前記検出された合波光を用いて前記3次元断層画像を生成することを特徴とする請求項13乃至15のいずれか1項に記載の画像処理装置。 Return light from the fundus irradiating the measurement light and communicably connected to an imaging device having a detection unit that detects a combined light of the reference light corresponding to the measurement light,
16. The image processing apparatus according to claim 13, wherein the first generation unit generates the three-dimensional tomographic image using the detected combined light.
前記形状情報を用いて、前記3次元断層画像との位置関係が対応付いている前記眼底の血管画像に含まれる血管を評価する評価ステップと、
前記評価ステップによる血管の評価結果を示す情報を表示部に表示する制御を行う表示制御ステップと
を有することを特徴とする画像処理方法。 An analysis step of acquiring shape information related to the shape of the fundus by analyzing a three-dimensional tomographic image of the fundus of the subject's eye;
Using the shape information, an evaluation step of evaluating a blood vessel included in the blood vessel image of the fundus associated with the positional relationship with the three-dimensional tomographic image ;
A display control step of performing control for displaying information indicating the evaluation result of the blood vessel in the evaluation step on a display unit.
前記形状情報を用いて、前記3次元断層画像との位置関係が対応付いている前記眼底の血管画像に含まれる血管を評価する評価ステップと
を有することを特徴とする画像処理方法。 An analysis step of acquiring shape information related to the shape of the fundus by analyzing a three-dimensional tomographic image of the fundus of the subject's eye;
Using the shape information to evaluate a blood vessel included in the blood vessel image of the fundus associated with the positional relationship with the three-dimensional tomographic image .
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WO2019156139A1 (en) * | 2018-02-08 | 2019-08-15 | 興和株式会社 | Image processing device, image processing method, and image processing program |
EP3815599A4 (en) * | 2018-06-29 | 2022-03-09 | Nidek Co., Ltd. | Ophthalmic image processing device, oct device, ophthalmic image processing program, and method of building mathematical model |
WO2020202680A1 (en) * | 2019-03-29 | 2020-10-08 | キヤノン株式会社 | Information processing device and information processing method |
US11361481B2 (en) * | 2019-09-18 | 2022-06-14 | Topcon Corporation | 3D shadow reduction signal processing method for optical coherence tomography (OCT) images |
JP6747617B2 (en) * | 2020-05-01 | 2020-08-26 | 株式会社ニデック | Ophthalmic image processing device and OCT device |
JP6866954B2 (en) * | 2020-08-05 | 2021-04-28 | 株式会社ニデック | Ophthalmic image processing program and OCT device |
CN116829049A (en) * | 2021-02-05 | 2023-09-29 | 株式会社拓普康 | Ophthalmic information processing device, ophthalmic information processing method, and program |
EP4235569A1 (en) | 2022-02-28 | 2023-08-30 | Optos PLC | Pre-processing of oct b-scans for oct angiography |
CN114305321A (en) * | 2022-03-15 | 2022-04-12 | 汕头大学·香港中文大学联合汕头国际眼科中心 | Method and system for measuring thickness of retinal vessel wall |
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JP5484425B2 (en) * | 2011-10-20 | 2014-05-07 | キヤノン株式会社 | Ophthalmic apparatus, control method therefor, and computer program |
US9357916B2 (en) * | 2012-05-10 | 2016-06-07 | Carl Zeiss Meditec, Inc. | Analysis and visualization of OCT angiography data |
US10143370B2 (en) * | 2014-06-19 | 2018-12-04 | Novartis Ag | Ophthalmic imaging system with automatic retinal feature detection |
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