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公开(公告)号：US20160004924A1
公开(公告)日：2016-01-07
申请号：US14493044
申请日：2014-09-22
Applicant: General Electric Company
Inventor： Dashan Gao , Ting Yu , Li Guan , Yi Yao , Kedar Anil Patwardhan
CPC classification number: G06K9/46 , G06K9/00711 , G06K9/00771 , G06K9/00785 , G06K9/629 , G06T7/155 , G06T7/246 , G06T2207/10016
Abstract: A method for detecting and tracking a target includes detecting the target using a plurality of feature cues, fusing the plurality of feature cues to form a set of target hypotheses, tracking the target based on the set of target hypotheses and a scene context analysis, and updating the tracking of the target based on a target motion model.
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公开(公告)号：US09092848B2
公开(公告)日：2015-07-28
申请号：US13910603
申请日：2013-06-05
Applicant: General Electric Company
Inventor： Kedar Anil Patwardhan , Sandeep N. Gupta , David M. Mills , Aaron M. Dentinger , Yongjian Yu
CPC classification number: G06T7/0012 , A61B8/0891 , A61B8/483 , A61B8/523 , G06T7/149 , G06T7/251 , G06T7/277 , G06T2207/10136 , G06T2207/20101 , G06T2207/20116 , G06T2207/30101
Abstract: In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.
Abstract translation: 在一个实施例中，提供了一种检测容器的中心线的方法。 该方法包括以下步骤：获取3D图像体积，初始化中心线，初始化卡尔曼滤波器，使用卡尔曼滤波器预测下一个中心点，检查使用卡尔曼滤波器进行的预测的有效性，执行模板匹配，基于卡尔曼滤波器更新 在模板匹配上重复预测，检查，执行和更新预定次数的步骤。 参考检测中心线的方法进一步描述了分段血管的自动血管分割和时间跟踪的方法。
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公开(公告)号：US20130266184A1
公开(公告)日：2013-10-10
申请号：US13910603
申请日：2013-06-05
Applicant: General Electric Company
Inventor： Kedar Anil Patwardhan , Sandeep N. Gupta , David M. Mills , Aaron M. Dentinger , Yongjian Yu
IPC: G06T7/00
CPC classification number: G06T7/0012 , A61B8/0891 , A61B8/483 , A61B8/523 , G06T7/149 , G06T7/251 , G06T7/277 , G06T2207/10136 , G06T2207/20101 , G06T2207/20116 , G06T2207/30101
Abstract: In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.
Abstract translation: 在一个实施例中，提供了一种检测容器的中心线的方法。 该方法包括以下步骤：获取3D图像体积，初始化中心线，初始化卡尔曼滤波器，使用卡尔曼滤波器预测下一个中心点，检查使用卡尔曼滤波器进行的预测的有效性，执行模板匹配，基于卡尔曼滤波器更新 在模板匹配上重复预测，检查，执行和更新预定次数的步骤。 参考检测中心线的方法进一步描述了分段血管的自动血管分割和时间跟踪的方法。
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公开(公告)号：US09934358B2
公开(公告)日：2018-04-03
申请号：US15692182
申请日：2017-08-31
Applicant: General Electric Company
Inventor： Christopher Donald Johnson , Peter Henry Tu , Piero Patrone Bonissone , John Michael Lizzi, Jr. , Kunter Seref Akbay , Ting Yu , Corey Nicholas Bufi , Viswanath Avasarala , Naresh Sundaram Iyer , Yi Yao , Kedar Anil Patwardhan , Dashan Gao
CPC classification number: G16H40/20 , G06F19/00 , G06F19/321 , G06F19/3418 , G06Q10/00 , G08B21/245 , G16H10/60 , G16H30/20 , G16H80/00
Abstract: The system and method disclosed herein provides an integrated and automated workflow, sensor, and reasoning system that automatically detects breaches in protocols, appropriately alarms and records these breaches, facilitates staff adoption of protocol adherence, and ultimately enables the study of protocols for care comparative effectiveness. The system provides real-time alerts to medical personnel in the actual processes of care, thereby reducing the number of negative patient events and ultimately improving staff behavior with respect to protocol adherence.
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Patent Agency Ranking
公开(公告)号：US09462968B2
公开(公告)日：2016-10-11
申请号：US14517024
申请日：2014-10-17
Applicant: General Electric Company
Inventor： Kedar Anil Patwardhan , David Martin Mills , Jae Hong Kim
IPC: A61B8/00 , A61B5/11 , G06T7/00 , A61B5/00 , A61B5/026 , A61B8/08 , A61B6/00 , A61B6/03 , A61B7/00 , A61B8/06
CPC classification number: A61B5/1128 , A61B5/0035 , A61B5/0263 , A61B5/1107 , A61B5/4255 , A61B5/486 , A61B6/032 , A61B6/50 , A61B7/008 , A61B8/06 , A61B8/08 , A61B8/465 , A61B8/485 , A61B8/5223 , A61B8/565 , G06T7/0012 , G06T7/0016 , G06T7/254 , G06T2207/10132 , G06T2207/20081 , G06T2207/30028 , G06T2207/30092 , G06T2207/30104
Abstract: In accordance with one aspect of the present technique, a method includes receiving a plurality of images of an abdominal region from an image capture device. The method further includes identifying a bowel tissue and a peristaltic portion of the bowel tissue from the plurality of images. The method further includes determining a peristalsis property of the bowel tissue based on the peristaltic portion. The peristalsis property includes at least one of a percentage of the peristaltic portion within the bowel tissue and an amount of peristalsis in the peristaltic portion. The method also includes assessing a health the bowel tissue based on the peristalsis property of the peristaltic portion.
Abstract translation: 根据本技术的一个方面，一种方法包括从图像捕获装置接收多个腹部区域的图像。 该方法还包括从多个图像中识别肠组织和肠组织的蠕动部分。 该方法还包括基于蠕动部分确定肠组织的蠕动特性。 蠕动特性包括肠组织中蠕动部分的百分比和蠕动部分中的蠕动量中的至少一个。 该方法还包括基于蠕动部分的蠕动特性评估肠组织的健康状况。
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公开(公告)号：US20160106347A1
公开(公告)日：2016-04-21
申请号：US14517024
申请日：2014-10-17
Applicant: General Electric Company
Inventor： Kedar Anil Patwardhan , David Martin Mills , Jae Hong Kim
CPC classification number: A61B5/1128 , A61B5/0035 , A61B5/0263 , A61B5/1107 , A61B5/4255 , A61B5/486 , A61B6/032 , A61B6/50 , A61B7/008 , A61B8/06 , A61B8/08 , A61B8/465 , A61B8/485 , A61B8/5223 , A61B8/565 , G06T7/0012 , G06T7/0016 , G06T7/254 , G06T2207/10132 , G06T2207/20081 , G06T2207/30028 , G06T2207/30092 , G06T2207/30104
Abstract: In accordance with one aspect of the present technique, a method includes receiving a plurality of images of an abdominal region from an image capture device. The method further includes identifying a bowel tissue and a peristaltic portion of the bowel tissue from the plurality of images. The method further includes determining a peristalsis property of the bowel tissue based on the peristaltic portion. The peristalsis property includes at least one of a percentage of the peristaltic portion within the bowel tissue and an amount of peristalsis in the peristaltic portion. The method also includes assessing a health the bowel tissue based on the peristalsis property of the peristaltic portion.
Abstract translation: 根据本技术的一个方面，一种方法包括从图像捕获装置接收多个腹部区域的图像。 该方法还包括从多个图像中识别肠组织和肠组织的蠕动部分。 该方法还包括基于蠕动部分确定肠组织的蠕动特性。 蠕动特性包括肠组织中蠕动部分的百分比和蠕动部分中的蠕动量中的至少一个。 该方法还包括基于蠕动部分的蠕动特性评估肠组织的健康状况。
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公开(公告)号：US20150164605A1
公开(公告)日：2015-06-18
申请号：US14106091
申请日：2013-12-13
Applicant: General Electric Company
Inventor： Kedar Anil Patwardhan , James Vradenburg Miller , Tai-Peng Tian
CPC classification number: A61B8/466 , A61B1/00009 , A61B1/04 , A61B5/0035 , A61B5/0044 , A61B5/0066 , A61B5/0073 , A61B5/055 , A61B5/4887 , A61B6/032 , A61B6/037 , A61B6/466 , A61B6/5205 , A61B6/5252 , A61B8/0841 , A61B8/085 , A61B8/12 , A61B8/5207 , A61B8/523 , A61B18/12 , A61B34/20 , A61B90/37 , A61B2017/00243 , A61B2034/105 , A61B2576/00 , A61B2576/023 , A61N7/02 , G06T7/73 , G06T19/20 , G06T2207/10076 , G06T2207/30048 , G06T2210/41 , G06T2219/2016 , G06T2219/2021
Abstract: Methods and systems for imaging a subject are presented. A series of volumetric images corresponding to a volume of interest in the subject is received during an interventional procedure. One or more of anatomical structures in at least one volumetric image selected from the series of volumetric images are detected. Detecting the anatomical structures includes determining an originally acquired view of the anatomical structures in the selected volumetric image. An optimal view of the anatomical structures is determined for performing a desired imaging task during the interventional procedure. The detected anatomical structures are automatically reoriented to transform the originally acquired view of the detected anatomical structures into a reoriented view. One or more obstructing structures are automatically removed from the reoriented view to generate the optimal view of the detected anatomical structures. The selected volumetric image including the optimal view of the detected anatomical structures is displayed in real-time.
Abstract translation: 介绍了成像对象的方法和系统。 在介入手术期间接收与受试者感兴趣体积相对应的一系列体积图像。 检测从一系列体积图像中选择的至少一个体积图像中的一个或多个解剖结构。 检测解剖结构包括确定所选择的体积图像中的解剖结构的原始获取的视图。 确定解剖结构的最佳视图，用于在介入手术期间执行所需的成像任务。 检测到的解剖结构自动地重新定向以将检测到的解剖结构的原始获取的视图变换为重新定向的视图。 一个或多个阻挡结构自动从重新定向的视图中移除，以产生检测到的解剖结构的最佳视图。 包括检测到的解剖结构的最佳视图的所选体积图像被实时显示。
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公开(公告)号：US08942423B2
公开(公告)日：2015-01-27
申请号：US13910620
申请日：2013-06-05
Applicant: General Electric Company
Inventor： Kedar Anil Patwardhan , Sandeep N. Gupta , David M. Mills , Aaron M. Dentinger , Yongjian Yu
CPC classification number: G06T7/0012 , A61B8/0891 , A61B8/483 , A61B8/523 , G06T7/149 , G06T7/251 , G06T7/277 , G06T2207/10136 , G06T2207/20101 , G06T2207/20116 , G06T2207/30101
Abstract: In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing, and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.
Abstract translation: 在一个实施例中，提供了一种检测容器的中心线的方法。 该方法包括以下步骤：获取3D图像体积，初始化中心线，初始化卡尔曼滤波器，使用卡尔曼滤波器预测下一个中心点，检查使用卡尔曼滤波器进行的预测的有效性，执行模板匹配，基于卡尔曼滤波器更新 在模板匹配上重复预定，检查，执行和更新预定次数的步骤。 参考检测中心线的方法进一步描述了分段血管的自动血管分割和时间跟踪的方法。
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19.发明申请METHODS AND SYSTEMS USING MAGNETIC RESONANCE AND ULTRASOUND FOR TRACKING ANATOMICAL TARGETS FOR RADIATION THERAPY GUIDANCE 审中-公开使用磁共振和超声波跟踪解剖学目标进行辐射治疗指导的方法和系统公开(公告)号：US20140275962A1
公开(公告)日：2014-09-18
申请号：US13797395
申请日：2013-03-12
Applicant: GENERAL ELECTRIC COMPANY
Inventor： Thomas Kwok-Fah Foo , Lowell Scott Smith , Kai Erik Thomenius , Sandeep Narendra Gupta , Luca Marinelli , Kedar Anil Patwardhan , Dominic Michael Graziani
IPC: A61N2/00
CPC classification number: A61N2/002 , A61B5/0035 , H05K999/99
Abstract: Methods and systems using magnetic resonance and ultrasound for tracking anatomical targets for radiation therapy guidance are provided. One system includes a patient transport configured to move a patient between and into a magnetic resonance (MR) system and a radiation therapy (RT) system and an ultrasound transducer coupled to the patient transport, wherein the ultrasound transducer is configured to acquire four-dimensional (4D) ultrasound images concurrently with one of an MR acquisition or an RT radiation therapy session. The system also includes a controller having a processor configured to use the 4D ultrasound images and MR images from the MR system to control at least one of a photon beam spatial distribution or intensity modulation generated by the RT system.
Abstract translation: 提供了使用磁共振和超声波跟踪放射治疗指导解剖靶标的方法和系统。 一种系统包括被配置为将患者移动到磁共振（MR）系统和辐射治疗（RT）系统之间的患者输送和耦合到患者输送的超声换能器，其中超声换能器被配置为获取四维 （4D）超声图像与MR采集或RT放射治疗会话之一同时进行。 该系统还包括具有处理器的控制器，其被配置为使用来自MR系统的4D超声图像和MR图像来控制RT系统产生的光子束空间分布或强度调制中的至少一个。
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