公开(公告)号：WO2019050543A1

公开(公告)日：2019-03-14

申请号：PCT/US2017/050949

申请日：2017-09-11

申请人： TOBII AB

发明人： KLINGSTRÖM, Andreas ,  KULDKEPP, Mattias ,  SKOGÖ, Mårten

IPC分类号： A61B3/113 ,  G06K9/00 ,  G06T7/00

CPC分类号： A61B3/113 ,  G06K9/0061 ,  G06T7/73 ,  G06T2207/30041 ,  G06T2207/30201

摘要： Circuitry of a gaze/eye tracking system obtains one or more images of a left eye and one or more images a right eye, determines a gaze direction of the left eye based on at least one obtained image of the left eye, determines a gaze direction of the right eye based on at least one obtained image of the right eye, determines a first confidence value based on the one or more obtained images of the left eye, determines a second confidence value based on the one or more obtained images of the right eye, and determines a final gaze direction based at least in part on the first confidence value and the second confidence value. The first and second confidence values represent indications of the reliability of the determined gaze directions of the left eye and the right eye, respectively. Corresponding methods and computer-readable media are also provided.

公开(公告)号：WO2018215855A1

公开(公告)日：2018-11-29

申请号：PCT/IB2018/053030

申请日：2018-05-02

申请人： INDIAN INSTITUTE OF SCIENCE

发明人： SEELAMANTULA, Chandra Sekhar ,  J. R., Harish Kumar

IPC分类号： G16H30/00 ,  G06T1/00

CPC分类号： G16H30/40 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/30041 ,  G16H50/20

摘要： Aspects of the present disclosure relate to a method for optimizing circles and ellipses to objects or regions in an image using an Active Disc (AD).In particular, embodiments explained herein pertain to fundus image processing for identifying potentially glaucomatous eye conditions. The Optic Disc (OD) and Optic Cup (OC) in the fundus image are segmented and outlined based on the notion of AD, which comprises a pair of dynamic concentric inner and outer discs as template. The AD is made to evolve from a specified initialization towards the boundary of the OD based on a pre-defined energy criterion such as by minimizing a local disc energy function. The disclosed method is fully automatic and can carry out severity grading of glaucoma based on CDR/RDR and ISNT rule by measurement of inferior, superior, nasal, and temporal neuroretinalrim width.

公开(公告)号：WO2018162690A1

公开(公告)日：2018-09-13

申请号：PCT/EP2018/055849

申请日：2018-03-08

申请人： CARL ZEISS MEDITEC, INC. ,  CARL ZEISS MEDITEC AG

发明人： AN, Lin ,  DURBIN, Mary ,  VYAS, Ruchi ,  FARD, Ali ,  BHATTACHARYA, Arindam ,  SHEMONSKI, Nathan, D.

IPC分类号： A61B3/10 ,  G06T7/00

CPC分类号： A61B3/102 ,  G06T7/0012 ,  G06T2207/10101 ,  G06T2207/30041 ,  G06T2207/30101

摘要： Eye-related pathologies are diagnosed, or monitored, by useof optical coherence tomography angiography (OCTA) images. Avascular regions in the OCTA image are identified and optionally labeled as test or nonessential for particular applications. Nonessential avascular regions may correspond to avascular regions similar to those typicallyfound in healthy eyes or to low quality regions of the OCTAimage. Nonessential avascular regions may be removed, and the remaining avascular regions may be designated test avascular regions and submitted for analysis, e.g., by calculating anavascular index of the test avascular regions or by comparing the test avascular regions to a database of healthy and/or diseased avascular regions, or by usinga neural network trained on the database. Fig. 2

公开(公告)号：WO2018127815A1

公开(公告)日：2018-07-12

申请号：PCT/IB2018/050046

申请日：2018-01-03

申请人： UNIVERSIDADE DE COIMBRA

发明人： DIAS CORTESÃO DOS SANTOS BERNARDES, Rui Manuel ,  DE SÁ E SOUSA DE CASTELO BRANCO, Miguel ,  ROSA GOMES AMBRÓSIO, António Francisco ,  RIBEIRO SILVA, Gilberto Miguel

IPC分类号： A61B3/10 ,  A61B3/12 ,  G06T7/529 ,  G06T7/40 ,  G16H50/30 ,  G16H50/20 ,  A61B5/00

CPC分类号： A61B3/102 ,  A61B3/12 ,  A61B5/004 ,  A61B5/4058 ,  A61B5/4076 ,  A61B5/7264 ,  A61B5/7275 ,  G06T7/0012 ,  G06T2207/10101 ,  G06T2207/30041 ,  G16H30/40 ,  G16H50/20

摘要： Data processing method and computer equipment for the characterization of a parametric indicator for central nervous system health status based on data collected from non-invasive retina imaging by optical coherence tomography, OCT, said method comprising: processing data from the collected OCT data to compute a texture parameter or parameters from collected fundus imaging data; classifying the computed texture parameter or parameters into a central nervous system health status for characterizing said parametric indicator. The method is able to analysed optical coherence tomography data of one or more tissues of the human and animal central nervous system. The presented method overcomes the need for expensive and complex imaging facilities to assess the health status of the central nervous system in humans and animals in health and disease. It allows for the classification of healthy controls and patients into the correct group and to monitor changes over time in a fraction of the time and of the cost. Moreover, the technique may be spread because of the low cost and compact nature of the acquisition device as compared to currently used instrumentations, the magnetic resonance imaging and computer tomography devices.

公开(公告)号：WO2018045363A1

公开(公告)日：2018-03-08

申请号：PCT/US2017/049984

申请日：2017-09-02

申请人： GARGEYA, Rishab

发明人： GARGEYA, Rishab

IPC分类号： A61B3/14 ,  G06T7/00 ,  G06F19/00

CPC分类号： A61B3/0025 ,  A61B3/12 ,  A61B3/1241 ,  A61B3/14 ,  A61B5/6898 ,  A61B5/725 ,  A61B5/7267 ,  A61B5/7275 ,  A61B5/7282 ,  G06T7/0012 ,  G06T7/0014 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30041 ,  G16H30/40 ,  G16H50/20 ,  G16H50/70 ,  G16H70/60

摘要： Disclosed herein are methods and apparatuses for detecting vision-degenerative diseases. A first method comprises obtaining a dataset of fundus images, using a custom deep learning network to process the dataset of fundus images, and providing, as an output, a function for use in diagnosing a vision-degenerative disease. A computing device comprises memory storing a representation of the function produced by the first method, and one or more processors configured to use the function to assist in the diagnosis of the vision-degenerative disease. A second method is for determining a likelihood that a patient's eye has a vision-degenerative disease, the method comprising obtaining a fundus image of the patient's eye, processing the fundus image using the function obtained from the first method, and, based on the processing of the fundus image, providing an indication of the likelihood that the patient's eye has the vision-degenerative disease.

摘要翻译： 这里公开了用于检测视力退化疾病的方法和装置。 第一种方法包括获得眼底图像的数据集，使用定制的深度学习网络来处理眼底图像的数据集，并提供用于诊断视力退化疾病的功能作为输出。 计算设备包括存储由第一方法产生的功能的表示的存储器以及被配置为使用该功能辅助视力退化疾病的诊断的一个或多个处理器。 第二种方法用于确定患者的眼睛具有视力退化疾病的可能性，该方法包括获得患者眼睛的眼底图像，使用从第一方法获得的功能处理眼底图像，并且基于处理 的眼底图像，提供患者眼睛患有视力退化疾病的可能性的指示。

公开(公告)号：WO2017187267A1

公开(公告)日：2017-11-02

申请号：PCT/IB2017/000592

申请日：2017-05-01

申请人： CONSEJO SUPERIOR DE INVESTIGACIONES CIENTÍFICAS (CSIC)

发明人： MARTÍNEZ-ENRÍQUEZ, Eduardo ,  MARCOS-CELESTINO, Susana ,  DORRONSORO-DÍAZ, Carlos

IPC分类号： A61B3/117 ,  A61B3/10 ,  A61B3/00

CPC分类号： G06T7/62 ,  A61B3/0025 ,  A61B3/102 ,  A61B3/1173 ,  G06T7/50 ,  G06T7/70 ,  G06T2207/10101 ,  G06T2207/30041

摘要： The present invention relates to a method and a device for estimating a full shape of a lens of an eye from measurements of the lens taken in-vivo by optical imaging techniques, the measurements comprising visible portions of the lens, the method comprises defining non-visible portions of the lens parting from the in-vivo measurements and using a geometrical model of a lens previously built from ex-vivo measurements. The full shape parameters of the crystalline lens can be estimated in the present invention from optical imaging techniques to improve the estimation of the IOL position and thus the IOL power selection.

摘要翻译： 本发明涉及一种用于根据由光学成像技术在体内拍摄的晶状体的测量来估计眼睛晶状体的完整形状的方法和设备，所述测量包括 所述方法包括根据体内测量定义分离的镜片的不可见部分，并使用先前由离体测量构建的镜片的几何模型。 在本发明中，可以从光学成像技术中估计晶状体的全形参数，以改善对IOL位置的估计并因此改进IOL功率选择。

公开(公告)号：WO2017183543A1

公开(公告)日：2017-10-26

申请号：PCT/JP2017/015038

申请日：2017-04-12

申请人： ソニーモバイルコミュニケーションズ株式会社

发明人： 丁　明珍

IPC分类号： G06T7/00

CPC分类号： G06K9/00617 ,  G06K9/00577 ,  G06K2009/0059 ,  G06T7/00 ,  G06T7/0016 ,  G06T7/11 ,  G06T11/60 ,  G06T2207/20192 ,  G06T2207/20201 ,  G06T2207/30041 ,  G06T2207/30101 ,  G06T2207/30201

摘要： 【課題】情報処理装置、情報処理方法、及びプログラムを提供する。 【解決手段】画像データから生体認証用の生体領域を特定する領域特定部と、前記生体領域から取得可能な生体情報が変化するように、前記生体領域に応じた処理領域に画像処理を施す画像処理部と、を備える情報処理装置。

摘要翻译：

一个信息处理装置，信息处理方法，以及程序。 和的区域识别单元，用于识别用于从所述图像数据的生物体认证生物领域，作为生物信息从所述居住面积的变化能够得到，根据与所述生物体的区域进行图像处理中的处理区域中的图像 和一个处理单元。

公开(公告)号：WO2017143300A1

公开(公告)日：2017-08-24

申请号：PCT/US2017/018521

申请日：2017-02-17

申请人： OPTOVUE, INC.

发明人： HSIAO, Yi-Sing ,  JANG, Ben K. ,  SHARMA, Utkarsh ,  ZHOU, Qienyuan ,  KO, Tony H. ,  WEI, Jay

IPC分类号： G06K9/00

CPC分类号： A61B5/7203 ,  A61B3/0025 ,  A61B3/0041 ,  A61B3/102 ,  A61B3/12 ,  A61B3/1233 ,  A61B5/0066 ,  A61B5/02007 ,  A61B5/0261 ,  A61B5/7207 ,  A61B5/7253 ,  A61B5/7267 ,  A61B5/7275 ,  G06K9/0051 ,  G06K9/40 ,  G06K9/4604 ,  G06T5/001 ,  G06T7/0012 ,  G06T2207/10028 ,  G06T2207/10101 ,  G06T2207/20182 ,  G06T2207/30041 ,  G06T2207/30104

摘要： In some embodiments of the present invention, a method of reducing artifacts includes obtaining OCT/OCTA data from an OCT/OCTA imager; preprocessing OCTA/OCT volume data; extracting features from the preprocessed OCTA/OCT volume data; classifying the OCTA/OCT volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.

摘要翻译： 在本发明的一些实施例中，减少伪像的方法包括从OCT / OCTA成像器获得OCT / OCTA数据; 预处理OCTA / OCT体积数据; 从预处理的OCTA / OCT体积数据中提取特征; 分类OCTA / OCT体积数据以提供概率确定数据; 从概率数据确定中确定百分比数据; 并根据百分比数据减少伪影。

公开(公告)号：WO2017136696A1

公开(公告)日：2017-08-10

申请号：PCT/US2017/016463

申请日：2017-02-03

申请人： MURALI, Archana ,  BERMAN, Elena

发明人： MURALI, Archana ,  BERMAN, Elena

IPC分类号： G06T7/00 ,  A61B3/14

CPC分类号： A61B3/0025 ,  A61B3/102 ,  A61B3/12 ,  A61B5/0066 ,  A61B5/4076 ,  A61B5/4082 ,  A61B5/4088 ,  A61B5/4836 ,  A61B5/7275 ,  G06F19/00 ,  G06T7/0012 ,  G06T2207/10088 ,  G06T2207/10101 ,  G06T2207/10104 ,  G06T2207/20072 ,  G06T2207/30041 ,  G06T2207/30084

摘要： A retinal biomarker processing system and method. Embodiments comprise an image processor to receive image data corresponding to a patient the image having a scale and a pixel location and a pixel size of one or more retinal biomarkers, a measurement analyzer configured to determine an absolute size of each of the one or more retinal biomarkers, a biomarker analyzer configured to determine an indicator related to a health outcome for the patient based on the absolute size of at least one of the one or more retinal biomarkers, In embodiments, the user identifies the size of one or more biomarkers by clicking on pixel locations that are converted to absolute locations. In embodiments, a likelihood of neurological disease in the patient can be determined.

摘要翻译： 视网膜生物标志物处理系统和方法。 实施例包括：图像处理器，用于接收对应于患者的图像数据，所述图像具有尺度和像素位置以及一个或多个视网膜生物标记的像素尺寸;测量分析器，被配置为确定所述一个或多个视网膜 生物标志物，生物标志物分析仪，被配置为基于一个或多个视网膜生物标志物中的至少一个的绝对大小确定与患者的健康结果有关的指示符。在实施例中，用户通过点击来识别一个或多个生物标志物的大小 在转换为绝对位置的像素位置上。 在实施例中，可以确定患者的神经疾病的可能性。

公开(公告)号：WO2017062484A1

公开(公告)日：2017-04-13

申请号：PCT/US2016/055540

申请日：2016-10-05

申请人： SILBERMANN, Emeric

发明人： SILBERMANN, Emeric

IPC分类号： A61B3/12 ,  A61B3/14 ,  G06F17/30 ,  G06F19/00 ,  G06K9/00 ,  G06T7/00

CPC分类号： A61B3/12 ,  A61B3/0025 ,  A61B3/14 ,  G06F17/30247 ,  G06F19/00 ,  G06T7/0014 ,  G06T2207/30041

摘要： A method for arriving at diagnoses for illnesses of patients based on comparison of retina images with predetermined ranges and thresholds. A patient's retina image is processed to extract information relating to predetermined characteristics with associated parameter ranges. Sets of characteristics with predetermined parameter ranges are matched with conditions. Predetermined conditions are matched to arrive to diagnoses. The parameter ranges are adjustable to increase/decrease the certainty of diagnoses or include others that are less probable.

摘要翻译： 基于视网膜图像与预定范围和阈值的比较来诊断患者疾病的方法。 处理患者的视网膜图像以提取与相关参数范围相关的预定特征的信息。 具有预定参数范围的特征组与条件匹配。 预定条件匹配到达诊断。 参数范围是可调整的，以增加/减少诊断的确定性，或包括不太可能的其他参数范围。