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11.发明授权公开(公告)号：US11445896B2
公开(公告)日：2022-09-20
申请号：US16073125
申请日：2017-01-24
Applicant: Given Imaging Ltd.
Inventor： Ron Nadiv , Ori Hay , Moran Horesh , Dori Peleg , Stas Rozenfeld
IPC: A61B1/045 , A61B1/00 , A61B1/04 , G06T7/246 , A61B5/01 , A61B5/03 , A61B5/07 , A61B5/145 , A61B5/00 , G06T7/00 , H04N5/343 , H04N5/345 , H04N5/347 , H04N5/369 , G06T7/73
Abstract: Methods for capturing and transmitting images by an in-vivo device comprise operating a pixel array in a superpixel readout mode to capture probe image, for example, according to a time interval. Concurrently to capturing of each probe image, the probe image is evaluated alone or in conjunction with other probe image(s), and if it is determined that no event of interest is detected by the last probe image, or by the last few probe images, the pixel array is operated in the superpixel readout mode and a subsequent probe image is captured. However, if it is determined that the last probe image, or the last few probe images, detected an event of interest, the pixel array is operated in a single pixel readout mode and a single normal image, or a series of normal image, is captured and transmitted, for example, to an external receiver.
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公开(公告)号：US08923585B1
公开(公告)日：2014-12-30
申请号：US13755524
申请日：2013-01-31
Applicant: Given Imaging Ltd.
Inventor： Dori Peleg
CPC classification number: G06T7/0012 , G06T2207/10024 , G06T2207/10068
Abstract: Ulcer detection may include calculating ulcer head scores for image pixels, and calculating ulcer red region scores for pixels, each score correlated to the probability that the pixel color is typical to ulcer heads, ulcer red regions, or a other regions. Ulcer head scores may be compared to an ulcer head threshold level and, based on the results, ulcer head candidates may be obtained. Ulcer red region scores may be compared to a threshold and ulcer red region candidates may be obtained. Ulcer candidates may be formed by creating pairs including an ulcer head candidate and a potential ulcer red region candidate. A grade for ulcer candidates indicating the probability that the ulcer candidate is an ulcer may be used to generate a score for the image, the score indicating the probability that the image includes an ulcer.
Abstract translation: 溃疡检测可以包括计算图像像素的溃疡头分数，以及计算像素的溃疡红色区域分数，每个分数与像素颜色是典型的溃疡头，溃疡红色区域或其他区域的概率相关。 可以将溃疡头评分与溃疡头部阈值水平进行比较，并且基于结果，可以获得溃疡头部候选物。 可以将溃疡红色区域得分与阈值进行比较，并且可以获得溃疡红色区域候选物。 可以通过产生包括溃疡性头部候选物和潜在的溃疡红色区域候选物的对形成溃疡候选物。 用于表示溃疡候选者是溃疡的可能性的溃疡候选者的等级可以用于产生图像的分数，得分表示图像包括溃疡的概率。
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公开(公告)号：US20240398207A1
公开(公告)日：2024-12-05
申请号：US18798928
申请日：2024-08-09
Applicant: Given Imaging LTD.
Inventor： Avishag Spillinger , Dori Peleg , Orit Elkayam , Eva Niv , Iddo Ambor , Sherry L. Fox , Ryan S. Sohlden
Abstract: Systems and methods may display and/or provide analysis of a number of selected images of a patient's gastrointestinal tract collected in-vivo by a swallowable capsule. Images may be displayed for review (e.g., as a study) and/or for further analysis by a user. A subset of images representing the stream of images and automatically selected according to a first selection method may be displayed. On user input, additional images corresponding to a currently displayed image may be displayed, where the additional images are automatically selected according to a second selection method. The second selection method may be based on a relation between images of the stream of in-vivo images and the currently displayed image.
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公开(公告)号：US10070932B2
公开(公告)日：2018-09-11
申请号：US14908245
申请日：2014-08-26
Applicant: GIVEN IMAGING LTD.
Inventor： Eshel Hason , Golan Inbar , Dori Peleg
CPC classification number: A61B34/73 , A61B1/00006 , A61B1/00036 , A61B1/00158 , A61B1/041 , A61B5/062
Abstract: An optimization unit controls electrical currents of a set of electromagnets to generate a wanted maneuvering magnetic field pattern (MMP) for moving an in-vivo device in the GI system. The optimization unit may calculate a magnetic force and a magnetic field to maneuver the in-vivo device from a current location and/or orientation to a new location and/or orientation. The optimization unit may solve a magnetic force optimization problem with respect to the magnetic force in order to determine electrical currents suitable for generating the wanted MMP. The optimization unit may additionally or alternatively solve a minimum electrical power optimization problem with respect to the electrical power to be consumed by the electromagnets in order to recalculate or adjust the electrical currents. The optimization unit may solve one or more of the optimization problems while complying with a set of constraints associated with or derived from each type of optimization objective.
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公开(公告)号：US09430706B1
公开(公告)日：2016-08-30
申请号：US14503486
申请日：2014-10-01
Applicant: GIVEN IMAGING LTD.
Inventor： Dori Peleg
CPC classification number: G06K9/00765 , G06K9/00624 , G06T7/0012 , G06T7/246 , G06T2207/10016 , G06T2207/10068 , G06T2207/20076 , G06T2207/30028 , G06T2207/30092 , G06T2207/30096
Abstract: An in-vivo imaging system and method to automatically detect a pathology frame sequence in an image stream captured in vivo. An image stream comprising a plurality of image frames captured in vivo may be received, and a pathology score for at least a portion of the image frames is received. A seed frame which includes at least one pathology candidate may be selected, and the position of the pathology candidate in the seed frame may be determined. A sequence of frames adjacent to the seed frame is defined comprising frames that depict the pathology candidate, and a pathology sequence score is calculated based on the sequence, the pathology sequence score correlating to the probability that the sequence of frames adjacent to the seed frame includes a pathology. If the pathology sequence score is within a range, a display method may be adapted, or the pathology score may be changed based.
Abstract translation: 一种体内成像系统和方法，用于自动检测在体内捕获的图像流中的病理学框架序列。 可以接收包括在体内捕获的多个图像帧的图像流，并且接收至少一部分图像帧的病理评分。 可以选择包括至少一个病理候选的种子框，并且可以确定种子帧中病理候选的位置。 定义与种子帧相邻的一系列帧，其包括描绘病理候选的帧，并且基于与该种子帧相邻的帧的序列包含的概率相关的序列计算病理学序列得分 病理学。 如果病理学序列分数在一个范围内，则可以适应显示方法，或者可以基于病变评分进行改变。
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Patent Agency Ranking
16.发明授权System and method for detection of transitions in an image stream of the gastrointestinal tract 有权用于检测胃肠道图像流中的转换的系统和方法公开(公告)号：US09324145B1
公开(公告)日：2016-04-26
申请号：US14454975
申请日：2014-08-08
Applicant: GIVEN IMAGING LTD.
Inventor： Boris Cherevatsky , Dori Peleg
CPC classification number: A61B1/041 , A61B1/00009 , A61B5/066 , A61B19/5244 , A61B34/20 , G06K9/6269 , G06K2209/05 , G06T7/0012 , G06T7/42 , G06T2207/10016 , G06T2207/30028
Abstract: A system and method for detecting a transition in a stream of images of a gastrointestinal (GI) tract may include selecting images from an in-vivo image stream; calculating a segment score for each selected image indicating in which segment of the GI tract the image was captured; applying a smoothing function on the scores; detecting a global step in the smoothed segment score signal indicating a substantial change in a parameter calculated based on segment score signal values of the segment score signal values; detecting a local step indicating a substantial change in a parameter calculated based on segment score signal values of a predetermined interval of the of the segment score signal values; combining the local step and the global step; and determining a point of transition in the stream from one anatomical segment to another, the point of transition correlating to the combined step.
Abstract translation: 用于检测胃肠道（GI）道的图像流中的转变的系统和方法可以包括从体内图像流中选择图像; 计算每个所选图像的片段得分，指示在所述GI道的哪个片段中捕获所述图像; 对得分应用平滑函数; 检测所述平滑段分数信号中的全局步长，其指示基于所述分数分数信号值的分数分数信号值计算的参数的实质变化; 检测指示基于片段得分信号值的预定间隔的片段分数信号值计算的参数的实质变化的本地步骤; 结合本地步骤与全球化步骤; 以及确定所述流中的从一个解剖段到另一解剖点的转变点，所述过渡点与组合步骤相关。
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17.发明授权System and method for classification of image data items based on indirect user input 有权基于间接用户输入的图像数据项分类系统和方法公开(公告)号：US08934722B2
公开(公告)日：2015-01-13
申请号：US13622544
申请日：2012-09-19
Applicant: Given Imaging Ltd.
Inventor： Dori Peleg , Hagai Krupnik
IPC: G06K9/62
CPC classification number: G06K9/6254
Abstract: A system and method for classification of images of an image stream may include receiving an image stream of unclassified images, for example produced by an in-vivo imaging device, and based on indirect user input, adapting an initial classification algorithm to classify images to groups based on at least a subset of the received image stream of unclassified images. The indirect user input may be used to generate user-based indications for the classification.
Abstract translation: 用于图像流的图像分类的系统和方法可以包括接收例如由体内成像装置产生的未分类图像的图像流，并且基于间接用户输入，适配初始分类算法以将图像分组 基于接收到的未分类图像的图像流的至少一个子集。 间接用户输入可以用于生成用于分类的基于用户的指示。
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公开(公告)号：US20240138753A1
公开(公告)日：2024-05-02
申请号：US18278986
申请日：2022-03-21
Applicant: Given Imaging LTD
Inventor： Arkadiy Morgenshtein , Iddo Diukman , Benny Linder , Dori Peleg
CPC classification number: A61B5/4233 , A61B5/6847 , A61B5/7221 , A61B5/7267 , A61B5/7282 , G16H40/67 , G16H50/20
Abstract: A system for diagnosing an esophageal disease includes at least one processor and at least one memory storing instructions. The instructions, when executed by the at least one processor, cause the system to: access, during a procedure involving an in-vivo device located within a person, data measured by the in-vivo device relating to an esophageal disease; evaluate, during the procedure while the in-vivo device is located within the person, a diagnosis for the esophageal disease for the person by applying a trained machine learning model to the data measured by the in-vivo device; and communicate, during the procedure while the in-vivo device is located within the person, the diagnosis for the esophageal disease.
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公开(公告)号：US20230274422A1
公开(公告)日：2023-08-31
申请号：US18020291
申请日：2021-09-03
Applicant: Given Imaging LTD.
Inventor： Dori Peleg
CPC classification number: G06T7/0012 , G16H30/40 , G16H50/20 , G06T2207/10068 , G06T2207/30092 , G06T2207/30096 , G06T2207/20081 , A61B1/041
Abstract: Systems and methods are disclosed for identifying images that contain polyps. An exemplary method for identifying images includes: accessing images of a gastrointestinal tract (GIT) captured by a capsule endoscopy device, where: each image of the images is suspected to include a polyp and is associated with a probability of containing the polyp, and the images include seed images, where each seed image is associated with one or more images of the images. The image(s) associated with each seed image is identified as suspected to include the same polyp as the associated seed image. The method includes applying a polyp detection system on the seed images to identify seed images which include polyps, where the polyp detection system is applied to each seed image of based on the image(s) associated with the seed image and the probabilities associated with the seed image and with the associated image(s).
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公开(公告)号：US11602264B2
公开(公告)日：2023-03-14
申请号：US17149066
申请日：2021-01-14
Applicant: GIVEN IMAGING LTD.
Inventor： Dori Peleg
Abstract: A method executed by a system for selecting images from a plurality of image groups originating from a plurality of imagers of an in-vivo device includes calculating, or otherwise associating, a general score (GS) for images of each image group, to indicate the probability that each image includes at least one pathology, dividing each image group into image subgroups, identifying a set Set(i) of maximum general scores (MGSs), a MGS for each image subgroup of each image group; and selecting images for processing by identifying a MGS|max in each set S(i) of MGSs; identifying the greatest MGS|max and selecting the image related to the greatest MGS|max. The method further includes modifying the set Set(i) of MGSs related to the selected image, and repeating the steps described above until a predetermined criterion selected from a group consisting of a number N of images and a score threshold is met.
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