JP7836100B2 - 情報処理装置およびプログラム - Google Patents
情報処理装置およびプログラムInfo
- Publication number
- JP7836100B2 JP7836100B2 JP2023518685A JP2023518685A JP7836100B2 JP 7836100 B2 JP7836100 B2 JP 7836100B2 JP 2023518685 A JP2023518685 A JP 2023518685A JP 2023518685 A JP2023518685 A JP 2023518685A JP 7836100 B2 JP7836100 B2 JP 7836100B2
- Authority
- JP
- Japan
- Prior art keywords
- image
- oct
- polarized
- images
- input
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
- A61B3/102—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions for optical coherence tomography [OCT]
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B3/00—Apparatus for testing the eyes; Instruments for examining the eyes
- A61B3/10—Objective types, i.e. instruments for examining the eyes independent of the patients' perceptions or reactions
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/60—Image enhancement or restoration using machine learning, e.g. neural networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10101—Optical tomography; Optical coherence tomography [OCT]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30041—Eye; Retina; Ophthalmic
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Physics & Mathematics (AREA)
- General Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Heart & Thoracic Surgery (AREA)
- Biophysics (AREA)
- Ophthalmology & Optometry (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Quality & Reliability (AREA)
- Image Analysis (AREA)
- Eye Examination Apparatus (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2021078457 | 2021-05-06 | ||
| JP2021078457 | 2021-05-06 | ||
| PCT/JP2022/019407 WO2022234828A1 (ja) | 2021-05-06 | 2022-04-28 | 情報処理装置およびプログラム |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2022234828A1 JPWO2022234828A1 (https=) | 2022-11-10 |
| JPWO2022234828A5 JPWO2022234828A5 (https=) | 2024-04-17 |
| JP7836100B2 true JP7836100B2 (ja) | 2026-03-26 |
Family
ID=83932769
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2023518685A Active JP7836100B2 (ja) | 2021-05-06 | 2022-04-28 | 情報処理装置およびプログラム |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20240366084A1 (https=) |
| JP (1) | JP7836100B2 (https=) |
| WO (1) | WO2022234828A1 (https=) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2024131552A (ja) * | 2023-03-16 | 2024-09-30 | 株式会社トーメーコーポレーション | 教師データ生成システム、機械学習システム、octシステム、教師データ生成方法および教師データ生成プログラム |
| WO2024232288A1 (ja) * | 2023-05-08 | 2024-11-14 | 株式会社ニデック | 眼科画像処理プログラムおよび眼科画像処理装置 |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2018005841A (ja) | 2016-07-08 | 2018-01-11 | 株式会社トプコン | 医用画像処理方法及び医用画像処理装置 |
| JP2019511940A (ja) | 2016-02-19 | 2019-05-09 | オプトビュー,インコーポレーテッド | 機械学習技法を用いたoctアンギオグラフィにおけるアーチファクトを減少させるための方法及び装置 |
| WO2020003524A1 (ja) | 2018-06-29 | 2020-01-02 | 株式会社ニデック | 眼科画像処理装置、oct装置、眼科画像処理プログラム、および、数学モデル構築方法 |
| JP2020000678A (ja) | 2018-06-29 | 2020-01-09 | 株式会社ニデック | 眼科画像処理装置、oct装置、眼科画像処理プログラム、および、数学モデル構築方法 |
-
2022
- 2022-04-28 WO PCT/JP2022/019407 patent/WO2022234828A1/ja not_active Ceased
- 2022-04-28 JP JP2023518685A patent/JP7836100B2/ja active Active
- 2022-04-28 US US18/558,290 patent/US20240366084A1/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2019511940A (ja) | 2016-02-19 | 2019-05-09 | オプトビュー,インコーポレーテッド | 機械学習技法を用いたoctアンギオグラフィにおけるアーチファクトを減少させるための方法及び装置 |
| JP2018005841A (ja) | 2016-07-08 | 2018-01-11 | 株式会社トプコン | 医用画像処理方法及び医用画像処理装置 |
| WO2020003524A1 (ja) | 2018-06-29 | 2020-01-02 | 株式会社ニデック | 眼科画像処理装置、oct装置、眼科画像処理プログラム、および、数学モデル構築方法 |
| JP2020000678A (ja) | 2018-06-29 | 2020-01-09 | 株式会社ニデック | 眼科画像処理装置、oct装置、眼科画像処理プログラム、および、数学モデル構築方法 |
Non-Patent Citations (1)
| Title |
|---|
| SUN Yi et al.,"Deep-Learning-Enabled Polarization-Sensitive Optical Coherence Tomography (OCT)",Optical Molecular Probes, Imaging and Drug Delivery: Biophotonics Congress 2021: Optics in the Life,2021年04月16日,OF2E.3 |
Also Published As
| Publication number | Publication date |
|---|---|
| US20240366084A1 (en) | 2024-11-07 |
| WO2022234828A1 (ja) | 2022-11-10 |
| JPWO2022234828A1 (https=) | 2022-11-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Devalla et al. | A deep learning approach to denoise optical coherence tomography images of the optic nerve head | |
| Sampson et al. | Towards standardizing retinal optical coherence tomography angiography: a review | |
| Ginner et al. | Noniterative digital aberration correction for cellular resolution retinal optical coherence tomography in vivo | |
| Carpineto et al. | Reproducibility and repeatability of foveal avascular zone measurements in healthy subjects by optical coherence tomography angiography | |
| US8433393B2 (en) | Inter-frame complex OCT data analysis techniques | |
| Chen et al. | Retinal oximetry in humans using visible-light optical coherence tomography | |
| Chen et al. | Repeatability and reproducibility of optic nerve head perfusion measurements using optical coherence tomography angiography | |
| US20230140881A1 (en) | Oct en face pathology segmentation using channel-coded slabs | |
| JP7836100B2 (ja) | 情報処理装置およびプログラム | |
| Shirazi et al. | Multi-modal and multi-scale clinical retinal imaging system with pupil and retinal tracking | |
| Mastropasqua et al. | Reproducibility and repeatability of foveal avascular zone area measurements using swept-source optical coherence tomography angiography in healthy subjects | |
| JP2018187343A (ja) | 光コヒーレントトモグラフィ血管造影におけるバルク運動除去 | |
| Buchser et al. | Comparison of retinal nerve fiber layer thickness measurement bias and imprecision across three spectral-domain optical coherence tomography devices | |
| CN114569065B (zh) | 一种基于光学相干层析成像的皮肤状态检测系统及其方法 | |
| Dwork et al. | Automatically determining the confocal parameters from OCT B-scans for quantification of the attenuation coefficients | |
| Ahmed et al. | ADC-net: an open-source deep learning network for automated dispersion compensation in optical coherence tomography | |
| Yasuno | Multi-contrast Jones-matrix optical coherence tomography—the concept, principle, implementation, and applications | |
| US20210196120A1 (en) | Methods and devices for full-field ocular blood flow imaging | |
| Li et al. | Comparison of swept-source and enhanced depth imaging spectral-domain optical coherence tomography in quantitative characterisation of the optic nerve head | |
| Neubauer et al. | Retinal vessel analysis reproducibility in assessing cardiovascular disease | |
| Liu et al. | Quantitative assessment of optical coherence tomography angiography algorithms for neuroimaging | |
| Labounková et al. | Heart rate and age modulate retinal pulsatile patterns | |
| Neubauer et al. | Comparison of optical coherence tomography and fundus photography for measuring the optic disc size | |
| Xie et al. | In vivo blind‐deconvolution photoacoustic ophthalmoscopy with total variation regularization | |
| Humeau-Heurtier et al. | Bidimensional unconstrained optimization approach to EMD: An algorithm revealing skin perfusion alterations in pseudoxanthoma elasticum patients |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| A529 | Written submission of copy of amendment under article 34 pct |
Free format text: JAPANESE INTERMEDIATE CODE: A5211 Effective date: 20231102 |
|
| A621 | Written request for application examination |
Free format text: JAPANESE INTERMEDIATE CODE: A621 Effective date: 20250228 |
|
| A131 | Notification of reasons for refusal |
Free format text: JAPANESE INTERMEDIATE CODE: A131 Effective date: 20250909 |
|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20251105 |
|
| TRDD | Decision of grant or rejection written | ||
| A01 | Written decision to grant a patent or to grant a registration (utility model) |
Free format text: JAPANESE INTERMEDIATE CODE: A01 Effective date: 20260217 |
|
| A61 | First payment of annual fees (during grant procedure) |
Free format text: JAPANESE INTERMEDIATE CODE: A61 Effective date: 20260306 |
|
| R150 | Certificate of patent or registration of utility model |
Ref document number: 7836100 Country of ref document: JP Free format text: JAPANESE INTERMEDIATE CODE: R150 |