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1. 发明公开

US20240127446A1 SEMI-SUPERVISED FUNDUS IMAGE QUALITY ASSESSMENT METHOD USING IR TRACKING 审中-公开
公开(公告)号：US20240127446A1
公开(公告)日：2024-04-18
申请号：US18277900
申请日：2022-02-25
申请人： Carl Zeiss Meditec, Inc. , Carl Zeiss Meditec AG
发明人： Homayoun Bagherinia , Aditya Nair , Niranchana Manivannan , Mary Durbin , Lars Omlor , Gary Lee
IPC分类号： G06T7/00 , G06T7/246 , G06V10/74 , G06V10/774 , G06V10/776 , G06V10/82 , G06V10/94 , G06V20/50 , G06V40/18
CPC分类号： G06T7/0014 , G06T7/248 , G06V10/761 , G06V10/774 , G06V10/776 , G06V10/82 , G06V10/95 , G06V20/50 , G06V40/197 , G06T2207/10016 , G06T2207/10101 , G06T2207/20081 , G06T2207/20084 , G06T2207/30041
摘要： System/Method/Device for labelling images in an automated manner to satisfy a performance of a different algorithm and then applying active learning to learn a deep learning model which would enable ‘real-time’ operation of quality assessment and with high accuracy.

2. 发明授权

US10832402B2 Methods for detection and enhanced visualization of pathologies in a human eye 有权
公开(公告)号：US10832402B2
公开(公告)日：2020-11-10
申请号：US15891965
申请日：2018-02-08
申请人： Carl Zeiss Meditec, Inc.
发明人： Homayoun Bagherinia , Luis De Sisternes
IPC分类号： G06K9/00 , G06T7/00 , A61B3/10 , G06T7/10 , A61B3/00 , G06T5/00
摘要： Various methods for the detection and enhanced visualization of a particular structure or pathology of interest in a human eye are discussed in the present disclosure. An example method to visualize a given pathology (e.g., CNV) in an eye includes collecting optical coherence tomography (OCT) image data of the eye from an OCT system. The OCT image data is segmented to identify two or more retinal layer boundaries located in the eye. The two or more retinal layer boundaries are located at different depth locations in the eye. One of the identified layer boundaries is moved and reshaped to optimize visualization of the pathology located between the identified layer boundaries. The optimized visualization is displayed or stored or for a further analysis thereof.

3. 发明授权

US10094649B2 Evaluation of optical coherence tomographic data prior to segmentation 有权
公开(公告)号：US10094649B2
公开(公告)日：2018-10-09
申请号：US15714293
申请日：2017-09-25
申请人： Carl Zeiss Meditec, Inc.
发明人： Homayoun Bagherinia
IPC分类号： G01B9/02 , A61B3/10 , G06T7/00 , G06T7/10
摘要： An efficient method of evaluating the level of contrast of an OCT dataset is presented. The method develops a metric to segregate useful and not-so-useful data in one or more OCT B-scans, in order to reduce spurious subsequent analyses of the data by downstream segmentation algorithms. It is designed to be fast and efficient and is applied to determining autofocus of an OCT instrument real-time and in identifying a real image from its complex conjugate twin.

4. 发明授权

US09095281B2 Segmentation and enhanced visualization techniques for full-range fourier domain optical coherence tomography 有权
标题翻译：全范围傅立叶变换光学相干断层扫描的分割和增强的可视化技术
公开(公告)号：US09095281B2
公开(公告)日：2015-08-04
申请号：US13761404
申请日：2013-02-07
申请人： Carl Zeiss Meditec, Inc.
发明人： Utkarsh Sharma , Homayoun Bagherinia
IPC分类号： A61B3/14 , A61B3/00 , A61B3/10 , G01B9/02 , G06T7/00
CPC分类号： A61B3/102 , G01B9/02091 , G06T7/11 , G06T7/12 , G06T2207/10101 , G06T2207/30041
摘要： Presented here are new processing techniques for optical coherence tomography (OCT) data that allow for improved visualization and use of full-range OCT images. These techniques minimize the central line artifact and the complex conjugate artifact without requiring additional system hardware or significantly increasing post-processing time. The central line artifact is minimized by normalizing each A-scan to account for ripples at the zero-delay position. The complex conjugate artifact is minimized by segmentation of a layer or layers that cross the zero-delay position, and in some embodiments by further segmentation of other surfaces based on the segmentation of the initial layer or layers. The segmentation information is then used to selectively attenuate the complex conjugate image. It may also be used for other purposes, such as dewarping.
摘要翻译：这里介绍的是用于光学相干断层扫描（OCT）数据的新的处理技术，其允许改进全范围OCT图像的可视化和使用。这些技术最大限度地减少了中心线伪影和复杂的偶联伪影，而不需要额外的系统硬件或显着增加后处理时间。通过归一化每个A扫描以考虑零延迟位置处的波纹，使中心线伪影最小化。通过对穿过零延迟位置的层或层进行分割，并且在一些实施例中，通过对初始层或层的分割进一步分割其它表面，使复共轭伪像最小化。然后使用分割信息来选择性地衰减复共轭图像。它也可以用于其它目的，例如脱脂。

5. 发明授权

US10123691B1 Methods and systems for automatically identifying the Schwalbe's line 有权
公开(公告)号：US10123691B1
公开(公告)日：2018-11-13
申请号：US15458393
申请日：2017-03-14
申请人： Carl Zeiss Meditec, Inc.
发明人： Homayoun Bagherinia
IPC分类号： A61B3/00 , A61B3/14 , A61B3/10 , A61B3/117 , G06T7/60 , G06T7/00 , G06T7/11 , G06T5/00
摘要： Various methods for automatically identifying the Schwalbe's line location in an optical coherence tomography (OCT) image of the anterior chamber of an eye are described. In one example method, the posterior corneal surface in the ROI is segmented by using one or more segmentation approaches to produce a segmented output. A curvature is computed at each segmented point to identify a set of local curvature maxima locations. Features at each local curvature maxima location are evaluated. The Schwalbe's line location is identified using the evaluated features at each maxima location. Other methods for identifying the Schwalbe's line location discussed in the present application are based on identification of a location of maximum curvature in the curvature function and identification of a maximum distance to the convex-hull of a model fit.

6. 发明授权

US09706914B2 Systems and methods for enhanced accuracy in OCT imaging of the cornea 有权
公开(公告)号：US09706914B2
公开(公告)日：2017-07-18
申请号：US14799523
申请日：2015-07-14
申请人： Carl Zeiss Meditec, Inc.
发明人： Homayoun Bagherinia , Utkarsh Sharma
IPC分类号： A61B3/00 , A61B3/10 , A61B3/107 , G01B9/02 , G01N21/47
CPC分类号： A61B3/102 , A61B3/0025 , A61B3/107 , G01B9/02077 , G01B9/02083 , G01B9/02091 , G01N21/4795
摘要： Systems and methods for enhanced accuracy in optical coherence tomography imaging of the cornea are presented, including approaches for more accurate corneal surface modeling, pachymetry maps, keratometric values, and corneal power. These methods involve new scan patterns, an eye tracking mechanism for transverse motion feedback, and advanced motion correction algorithms. In one embodiment the methods comprise acquiring a first sparse set of data, using that data to create a corneal surface model, and then using the model to register a second set of denser data acquisition. This second set of data is used to create a more accurate, motion-corrected model of the cornea, from which pachymetry maps, keratometric values, and corneal power information can be generated. In addition, methods are presented for determining simulated keratometry values from optical coherence tomography data, and for better tracking and registration by using both rotation about three axes and the corneal apex.

7. 发明授权

US09545199B2 Apparatus and methods for detecting optical components and their misalignment in optical coherence tomographic systems 有权
标题翻译：用于检测光学相干断层扫描系统中的光学部件及其不对准的装置和方法
公开(公告)号：US09545199B2
公开(公告)日：2017-01-17
申请号：US14489352
申请日：2014-09-17
申请人： Carl Zeiss Meditec, Inc.
发明人： Yingjian Wang , Homayoun Bagherinia
IPC分类号： G01B9/02 , A61B3/10
CPC分类号： A61B3/102 , G01B9/02068 , G01B9/02072 , G01B9/02091
摘要： Systems and methods are presented which allow the detection of the presence, type, and misalignment of optical components in the optical train of an optical coherence tomographic instrument to be determined from the use of OCT depth information.
摘要翻译：提出了系统和方法，其允许从使用OCT深度信息确定光学相干断层摄影仪器的光学系列中的光学部件的存在，类型和不对准的检测。

8. 发明公开

US20230190095A1 METHOD AND SYSTEM FOR CHOROID-SCLERAL SEGMENTATION USING DEEP LEARNING WITH A CHOROID-SCLERAL LAYER MODEL 审中-公开
公开(公告)号：US20230190095A1
公开(公告)日：2023-06-22
申请号：US18085062
申请日：2022-12-20
申请人： Carl Zeiss Meditec, Inc.
发明人： Homayoun Bagherinia , Lars Omlor
IPC分类号： A61B3/10 , G06T7/00
CPC分类号： A61B3/102 , G06T7/0012 , G06T2207/20081
摘要： A System/Method/Device for segmenting the choroid-scleral layer from an optical coherent tomography (OCT) volume scan. The present system uses a deep learning machine model based on a neural network that include multiple convolution layers, but no deconvolution layers. Rather, the present neural network is based on a novel architecture based on the discrete cosine transform.

9. 发明授权

US09833136B2 Systems and methods for ocular anterior segment tracking, alignment, and dewarping using optical coherence tomography 有权
公开(公告)号：US09833136B2
公开(公告)日：2017-12-05
申请号：US15104447
申请日：2014-12-18
申请人： CARL ZEISS MEDITEC, INC. , CARL ZEISS MEDITEC AG
发明人： Homayoun Bagherinia
IPC分类号： A61B3/14 , A61B3/00 , G06T3/00 , G06T5/00 , G06T7/00 , A61B3/10 , A61B3/107 , A61B3/117 , G06K9/00 , G06K9/52 , G06T7/60 , G06T7/70
CPC分类号： A61B3/0025 , A61B3/102 , A61B3/107 , A61B3/117 , G06K9/0061 , G06K9/00617 , G06K9/52 , G06T3/0093 , G06T5/006 , G06T7/0012 , G06T7/60 , G06T7/70 , G06T2207/10072 , G06T2207/10101 , G06T2207/30041 , G06T2207/30196
摘要： The present application discloses methods and systems to track the anterior segment while establishing a position of the delay which will permit good control of the placement of anterior segment structures. This allows accurate dewarping by maximizing the amount of corneal surface that is imaged as well as reducing or eliminating overlap between real and complex conjugate images present in frequency-domain optical coherence tomography. A method to dewarp surfaces given partial corneal surface information is also disclosed.

10. 发明公开

US20230196572A1 METHOD AND SYSTEM FOR AN END-TO-END DEEP LEARNING BASED OPTICAL COHERENCE TOMOGRAPHY (OCT) MULTI RETINAL LAYER SEGMENTATION 审中-公开
公开(公告)号：US20230196572A1
公开(公告)日：2023-06-22
申请号：US18086016
申请日：2022-12-21
申请人： Carl Zeiss Meditec, Inc.
发明人： Aditya Nair , Rogerio Guimaraes , Homayoun Bagherinia , Ali Salehi
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T2207/20084 , G06T2207/20081
摘要： A System/Method/Device for automatic retinal layer segmentation from optical coherence tomography (OCT) implementing a deep learning machine model defined by any of multiple neural networks. The neural networks may use the feature of “attention”, and more specifically self-attention, such as by using transformers, to reduce the size of the OCT data and make the process more efficient. Additionally, new methods of data augmentation suitable for OCT data are presented.

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