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公开(公告)号：US20130301008A1
公开(公告)日：2013-11-14
申请号：US13781375
申请日：2013-02-28
IPC分类号： A61B3/10
CPC分类号： A61B3/102 , A61B3/0025 , G01B9/02083 , G01B9/02091 , G06T7/20 , G06T7/215 , G06T11/003 , G06T19/00 , G06T2207/10101 , G06T2207/30041 , G06T2210/41
摘要： Methods for analyzing and visualizing OCT angiography data are presented. In one embodiment, an automated method for identifying the foveal avascular zone in a two dimensional en face image generated from motion contrast data is presented. Several 3D visualization techniques are presented including one in which a particular vessel is selected in a motion contrast image and all connected vessels are highlighted. A further embodiment includes a stereoscopic visualization method. In addition, a variety of metrics for characterizing OCT angiography image data are described.
摘要翻译： 提出OCT分析和可视化OCT血管造影数据的方法。 在一个实施例中，呈现了用于识别由运动对比数据产生的二维面部图像中的中心凹无血管区域的自动化方法。 提出了几种3D可视化技术，包括其中在运动对比图像中选择特定容器并且所有连接的血管被突出显示的技术。 另一实施例包括立体可视化方法。 此外，描述用于表征OCT血管造影图像数据的各种度量。
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公开(公告)号：US20190272631A1
公开(公告)日：2019-09-05
申请号：US15909658
申请日：2018-03-01
摘要： An ophthalmic image diagnostic tool and method submits a test image to a neural network trained to identify abnormal regions of an ophthalmic image, to distinguish between multiple types of abnormalities, and to associate an abnormality type with each identified potentially abnormal region. Each potentially abnormal region in the test image is highlighted, and in response to a user-selection of a highlighted region, a previously diagnosed sample (e.g., from a library of samples) of the abnormality type associated with the selected highlighted region is displayed.
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公开(公告)号：US20190069775A1
公开(公告)日：2019-03-07
申请号：US16123079
申请日：2018-09-06
发明人： Sophie KUBACH , Ali FARD , Jennifer Y. LUU , Mary K. DURBIN , Matthew J. EVERETT , Conor LEAHY , Luis DE SISTERNES , Kevin MENG , Gregory G. ANDERSON , Katherine MAKEDONSKY
摘要： An ophthalmic imaging system provides a user interface to facilitate the montaging of scan images collected with various imaging modalities, such as images collected with a fundus imaging system or an optical coherence tomography (OCT) system. The amount of each constituent image used in the montage is dependent upon its respective quality. During the collecting of scans (constituent images) for montaging, any scan may be designated for rescanning, such as if its current quality is deemed less than sufficient. In the case of using an OCT system to collect constituent images (e.g., cube scans), the scanned region of a constituent image may be modified based on physical characteristics of the eye being scanned.
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4.发明申请公开(公告)号：US20180014728A1
公开(公告)日：2018-01-18
申请号：US15629502
申请日：2017-06-21
发明人： Lin AN , Mary K. DURBIN , Sophie KUBACH , Utkarsh SHARMA
CPC分类号： A61B3/1233 , A61B3/0025 , A61B3/0041 , A61B3/102 , G06T7/0014 , G06T2207/10101 , G06T2207/20044 , G06T2207/30041
摘要： Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.
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5.发明申请公开(公告)号：US20190320895A1
公开(公告)日：2019-10-24
申请号：US16352566
申请日：2019-03-13
发明人： Lin AN , Mary K. DURBIN , Sophie KUBACH , Utkarsh SHARMA
摘要： Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.
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6.发明申请METHOD FOR SCALING OPHTHALMIC IMAGING MEASUREMENTS TO REFLECT FUNCTIONAL DISABILITY RISK 审中-公开用于缩放眼睛成像测量以反映功能障碍风险的方法公开(公告)号：US20130218927A1
公开(公告)日：2013-08-22
申请号：US13766602
申请日：2013-02-13
IPC分类号： G06F17/30
CPC分类号： G06F16/211 , A61B3/0025 , A61B3/102
摘要： Methods for relating ophthalmic structural measurements to ophthalmic function are presented. The central idea is that each value for a given structural measurement can be empirically associated with a certain likelihood of disability or reduced function by measuring relevant patient populations in which some subjects have those disabilities This method is intended as an aid to doctors who manage glaucoma, or for the study of glaucoma or glaucoma therapy in clinical trials. The method could also be used in other progressive diseases where more than one method is used to diagnose and manage disease, and it is desirable to use a structural method to predict the risk of further functional loss.
摘要翻译： 提出了将眼科结构测量与眼科功能相关联的方法。 中心思想是，给定结构测量的每个值可以通过测量某些受试者患有这些残疾的相关患者人群，具有一定的残疾或减少功能的经验性相关性。该方法旨在帮助管理青光眼的医生， 或在临床试验中研究青光眼或青光眼治疗。 该方法还可以用于其他进行性疾病，其中使用多种方法诊断和治疗疾病，并且期望使用结构方法来预测进一步的功能性损失的风险。
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公开(公告)号：US20160317029A1
公开(公告)日：2016-11-03
申请号：US15147402
申请日：2016-05-05
CPC分类号： A61B3/102 , A61B3/0025 , G01B9/02083 , G01B9/02091 , G06T7/20 , G06T7/215 , G06T11/003 , G06T19/00 , G06T2207/10101 , G06T2207/30041 , G06T2210/41
摘要： Methods for analyzing and visualizing OCT angiography data are presented. In one embodiment, an automated method for identifying the foveal avascular zone in a two dimensional en face image generated from motion contrast data is presented. Several 3D visualization techniques are presented including one in which a particular vessel is selected in a motion contrast image and all connected vessels are highlighted. A further embodiment includes a stereoscopic visualization method. In addition, a variety of metrics for characterizing OCT angiography image data are described.
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8.发明申请METHODS AND SYSTEMS FOR COMBINED MORPHOLOGICAL AND ANGIOGRAPHIC ANALYSES OF RETINAL FEATURES 审中-公开组合形态学和视觉特征分析的方法与系统公开(公告)号：US20160242638A1
公开(公告)日：2016-08-25
申请号：US15046878
申请日：2016-02-18
发明人： Mary K. DURBIN , Shamika GUNE , Lin AN , Utkarsh SHARMA
CPC分类号： A61B3/0025 , A61B3/102 , A61B3/113 , G06T7/0012 , G06T2207/10101 , G06T2207/30041
摘要： Methods and systems in ophthalmic imaging are presented that increase the sensitivity of automated diagnoses by the use of a combination of both functional and structural information derived from a variety of ophthalmic imaging modalities. An example method to analyze image data of an eye of a patient includes processing a first image dataset to obtain one or more functional metrics; processing a second image dataset to obtain one or more structural metrics; comparing the one or more structural metrics to the one or more functional metrics; and processing the results of said comparison to derive the probability of a disease or normality of the eye.
摘要翻译： 提出了眼科成像中的方法和系统，其通过使用从各种眼科成像模式得到的功能和结构信息的组合来增加自动诊断的灵敏度。 用于分析患者眼睛的图像数据的示例性方法包括处理第一图像数据集以获得一个或多个功能度量; 处理第二图像数据集以获得一个或多个结构度量; 将所述一个或多个结构度量与所述一个或多个功能度量进行比较; 并处理所述比较的结果以导出眼睛的疾病或正常的概率。
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9.发明申请公开(公告)号：US20160227999A1
公开(公告)日：2016-08-11
申请号：US15015587
申请日：2016-02-04
发明人： Lin AN , Mary K. DURBIN , Sophie KUBACH , Utkarsh SHARMA
CPC分类号： A61B3/1233 , A61B3/0025 , A61B3/0041 , A61B3/102 , G06T7/0014 , G06T2207/10101 , G06T2207/20044 , G06T2207/30041
摘要： Methods for improved acquisition and processing of optical coherence tomography (OCT) angiography data are presented. One embodiment involves improving the acquisition of the data by evaluating the quality of different portions of the data to identify sections having non-uniform acquisition parameters or non-uniformities due to opacities in the eye such as floaters. The identified sections can then be brought to the attention of the user or automatically reacquired. In another embodiment, segmentation of layers in the retina includes both structural and flow information derived from motion contrast processing. In a further embodiment, the health of the eye is evaluating by comparing a metric reflecting the density of vessels at a particular location in the eye determined by OCT angiography to a database of values calculated on normal eyes.
摘要翻译： 介绍了光学相干断层扫描（OCT）血管造影数据的改进采集和处理方法。 一个实施例涉及通过评估数据的不同部分的质量以识别由于眼睛中的不透明度（例如浮子）而具有不均匀采集参数或非均匀性的部分来改进数据的获取。 然后可以将识别的部分提请用户注意或自动重新获取。 在另一个实施例中，视网膜中的层的分割包括从运动对比度处理得到的结构和流动信息。 在另一实施例中，通过将通过OCT血管造影确定的眼睛中的特定位置处的血管的密度与正常眼睛计算的值的数据库进行比较来评估眼睛的健康。
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10.发明申请METHODS AND SYSTEMS FOR AUTOMATIC DETECTION AND CLASSIFICATION OF OCULAR INFLAMMATION 审中-公开自动检测和分类OCOLL INFLAMMATION的方法和系统公开(公告)号：US20150305614A1
公开(公告)日：2015-10-29
申请号：US14688753
申请日：2015-04-16
CPC分类号： A61B3/0025 , A61B3/102 , A61B3/12 , G06K9/00617 , G06K2209/05 , G06T7/0012 , G06T2207/10101 , G06T2207/30041 , G06T2207/30242
摘要： Systems and methods to improve the detection and classification of inflammation in the eye are presented. The inflammatory markers in image data can be graded by comparing identified and extracted characteristics from the images with characteristics derived from a set of images of eyes from a general population of subjects. The image data can be divided into sub-regions for analysis to better isolate the true inflammatory markers from the impacts of cataracts or other opacities. In another embodiment, the location of an imaging beam can be controlled to minimize the impact of lens opacities from the collected data used to analyze the inflammation state of an eye.
摘要翻译： 提出了改善眼睛炎症检测和分类的系统和方法。 图像数据中的炎症标记可以通过比较来自图像的识别和提取特征与来自一组来自一般受试者群体的眼睛图像的特征来分级。 图像数据可以分为子区域进行分析，以更好地将真实炎症标记物与白内障或其他不透明度的影响隔离开来。 在另一个实施例中，可以控制成像光束的位置以最小化来自用于分析眼睛的炎症状态的所收集的数据的晶状体不透明度的影响。
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