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1.发明授权Method for registration and navigation of volumetric scans using energy profiles 有权使用能量曲线的体积扫描的注册和导航方法公开(公告)号：US07907761B2
公开(公告)日：2011-03-15
申请号：US11738066
申请日：2007-04-20
IPC分类号： G06K9/00
CPC分类号： G06K9/32 , G06K2209/05
摘要： A method is provided for identifying a location of a region of interest in a volumetric image scan that includes a plurality of slices of an object and wherein each slice, in turn, includes a plurality of pixels. The method includes setting a predetermined pixel intensity threshold corresponding to a particular region of interest; identifying target pixels for each slice from the plurality of pixels that exceed the predetermined pixel intensity threshold; creating an energy profile from the target pixels for each slice; and comparing the energy profile to a predefined energy profile to determine the location of the region of interest.
摘要翻译： 提供了一种用于识别包括对象的多个切片的体积图像扫描中的感兴趣区域的位置的方法，并且其中每个切片依次包括多个像素。 该方法包括设置对应于特定感兴趣区域的预定像素强度阈值; 从超过所述预定像素强度阈值的所述多个像素中识别每个切片的目标像素; 从每个切片的目标像素创建能量轮廓; 以及将所述能量分布与预定义的能量分布比较以确定所述感兴趣区域的位置。
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2.发明申请Method for Registration and Navigation of Volumetric Scans Using Energy Profiles 有权使用能量轮廓记录和导航体积扫描的方法公开(公告)号：US20080260286A1
公开(公告)日：2008-10-23
申请号：US11738066
申请日：2007-04-20
CPC分类号： G06K9/32 , G06K2209/05
摘要： A method is provided for identifying a location of a region of interest in a volumetric image scan that includes a plurality of slices of an object and wherein each slice, in turn, includes a plurality of pixels. The method includes setting a predetermined pixel intensity threshold corresponding to a particular region of interest; identifying target pixels for each slice from the plurality of pixels that exceed the predetermined pixel intensity threshold; creating an energy profile from the target pixels for each slice; and comparing the energy profile to a predefined energy profile to determine the location of the region of interest.
摘要翻译： 提供了一种用于识别包括对象的多个切片的体积图像扫描中的感兴趣区域的位置的方法，并且其中每个切片依次包括多个像素。 该方法包括设置对应于特定感兴趣区域的预定像素强度阈值; 从超过所述预定像素强度阈值的所述多个像素中识别每个切片的目标像素; 从每个切片的目标像素创建能量轮廓; 以及将所述能量分布与预定义的能量分布比较以确定所述感兴趣区域的位置。
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3.发明授权Systems and methods for automatically identifying and segmenting different tissue types in ultrasound images 有权用于自动识别和分割超声图像中不同组织类型的系统和方法公开(公告)号：US08715187B2
公开(公告)日：2014-05-06
申请号：US12971241
申请日：2010-12-17
申请人： Cynthia Elizabeth Landberg Davis , Ying Fan , Hae Won Lim , Gokul Swamy , Navneeth Subramanian , Nitya Subramaniam
发明人： Cynthia Elizabeth Landberg Davis , Ying Fan , Hae Won Lim , Gokul Swamy , Navneeth Subramanian , Nitya Subramaniam
IPC分类号： A61B8/08
CPC分类号： A61N7/02 , A61B8/08 , A61B8/0858 , A61B8/4245 , A61B8/4483 , A61B8/463 , A61B2017/22008 , A61B2018/00642 , A61B2018/00702 , A61B2018/00726 , A61B2018/00738 , A61B2090/378 , A61N2007/0008 , A61N2007/0039 , A61N2007/006 , A61N2007/0091 , A61N2007/0095 , G06T7/0012 , G06T7/149 , G06T2207/10132 , G06T2207/20064
摘要： A system for providing non-invasive ultrasound based treatment to a region of interest is provided. The system comprises an imaging unit for imaging one or more tissue types in the region of interest, an image processing unit that is configured to identify the one or more tissue types in the region of interest, an ultrasound transducer that is configured to focus an ultrasound beam to ablate at least a portion of the identified tissues, and a controller unit that controls a delivery of the ultrasound beam to the region of interest.
摘要翻译： 提供了一种用于向感兴趣区域提供基于非侵入性超声的治疗的系统。 该系统包括用于对感兴趣区域中的一种或多种组织类型成像的成像单元，被配置为识别感兴趣区域中的一种或多种组织类型的图像处理单元，被配置为聚焦超声波的超声波换能器 光束以消融所识别的组织的至少一部分，以及控制器单元，其控制超声波束到感兴趣区域的传送。
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公开(公告)号：US20100329571A1
公开(公告)日：2010-12-30
申请号：US12490675
申请日：2009-06-24
IPC分类号： G06K9/46
CPC分类号： G06T7/33 , G06T2207/10072 , G06T2207/10136 , G06T2207/20041 , G06T2207/30101
摘要： A method for registering a source image of an object with a target image of the object includes generating a mask image delineating a structure of interest from the source image, determining a distance map for the mask image, determining a shape representation by identifying an iso-value on the distance map such that level curves correspond to the characteristics of a desired shape, iteratively calculating a similarity metric corresponding to a region of overlap between the level curve based shape representation and the second image resulting in a registration transform, applying the registration transform to the target image to co-register the source image with the target image, and displaying the co-registered source image and the target image on a display device.
摘要翻译： 一种用目标图像对象物体的源图像进行登记的方法包括生成从源图像中描绘感兴趣结构的掩模图像，确定掩模图像的距离图，确定形状表示， 在距离图上的值，使得水平曲线对应于期望形状的特征，迭代地计算与基于水平曲线的形状表示与导致注册变换的第二图像之间的重叠区域相对应的相似度，应用注册变换 到目标图像以与目标图像共同注册源图像，并且将共同注册的源图像和目标图像显示在显示装置上。
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5.发明申请System and Method for Identifying an Optimal Image Frame for Ultrasound Imaging 有权用于识别超声成像最佳图像帧的系统和方法公开(公告)号：US20130190600A1
公开(公告)日：2013-07-25
申请号：US13357724
申请日：2012-01-25
申请人： Mithun Das Gupta , Kajoli Banerjee Krishnan , Pavan Kumar Veerabhadra Annangi , Xiaoming Liu , Sri Kaushik Pavani , Navneeth Subramanian , Jyotirmoy Banerjee
发明人： Mithun Das Gupta , Kajoli Banerjee Krishnan , Pavan Kumar Veerabhadra Annangi , Xiaoming Liu , Sri Kaushik Pavani , Navneeth Subramanian , Jyotirmoy Banerjee
CPC分类号： A61B8/5215 , A61B8/0866 , A61B8/461 , A61B8/467 , A61B8/469 , A61B8/5223 , A61B8/56 , G06T7/0002 , G06T7/33 , G06T2207/10132 , G06T2207/30168
摘要： A method for identifying an optimal image frame is presented. The method includes receiving a selection of an anatomical region of interest in an object of interest. Furthermore, the method includes obtaining a plurality of image frames corresponding to the selected anatomical region of interest. The method also includes determining a real-time indicator corresponding to the plurality of acquired image frames, wherein the real-time indicator is representative of quality of an image frame. In addition, the method includes communicating the real-time indicator to aid in selecting an optimal image frame. Systems and non-transitory computer readable medium configured to perform the method for identifying an optimal image frame are also presented.
摘要翻译： 提出了一种用于识别最佳图像帧的方法。 该方法包括在感兴趣的对象中接收感兴趣的解剖区域的选择。 此外，该方法包括获得对应于所选择的感兴趣解剖区域的多个图像帧。 该方法还包括确定对应于多个获取的图像帧的实时指示符，其中实时指示符代表图像帧的质量。 此外，该方法包括传送实时指示符以帮助选择最佳图像帧。 还呈现了被配置为执行用于识别最佳图像帧的方法的系统和非暂时计算机可读介质。
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6.发明申请SYSTEMS AND METHODS FOR AUTOMATICALLY IDENTIFYING AND SEGMENTING DIFFERENT TISSUE TYPES IN ULTRASOUND IMAGES 有权用于自动识别和分离超声图像中不同组织类型的系统和方法公开(公告)号：US20120157842A1
公开(公告)日：2012-06-21
申请号：US12971241
申请日：2010-12-17
申请人： Cynthia Elizabeth Landberg Davis , Ying Fan , Hae Won Lim , Gokul Swamy , Navneeth Subramanian , Nitya Subramaniam
发明人： Cynthia Elizabeth Landberg Davis , Ying Fan , Hae Won Lim , Gokul Swamy , Navneeth Subramanian , Nitya Subramaniam
CPC分类号： A61N7/02 , A61B8/08 , A61B8/0858 , A61B8/4245 , A61B8/4483 , A61B8/463 , A61B2017/22008 , A61B2018/00642 , A61B2018/00702 , A61B2018/00726 , A61B2018/00738 , A61B2090/378 , A61N2007/0008 , A61N2007/0039 , A61N2007/006 , A61N2007/0091 , A61N2007/0095 , G06T7/0012 , G06T7/149 , G06T2207/10132 , G06T2207/20064
摘要： A system for providing non-invasive ultrasound based treatment to a region of interest is provided. The system comprises an imaging unit for imaging one or more tissue types in the region of interest, an image processing unit that is configured to identify the one or more tissue types in the region of interest, an ultrasound transducer that is configured to focus an ultrasound beam to ablate at least a portion of the identified tissues, and a controller unit that controls a delivery of the ultrasound beam to the region of interest.
摘要翻译： 提供了一种用于向感兴趣区域提供基于非侵入性超声的治疗的系统。 该系统包括用于对感兴趣区域中的一种或多种组织类型成像的成像单元，被配置为识别感兴趣区域中的一种或多种组织类型的图像处理单元，被配置为聚焦超声波的超声波换能器 光束以消融所识别的组织的至少一部分，以及控制器单元，其控制超声波束到感兴趣区域的传送。
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7.发明申请公开(公告)号：US20110319763A1
公开(公告)日：2011-12-29
申请号：US12825755
申请日：2010-06-29
申请人： Navneeth Subramanian , Anand Magadi Narasimhamurthy , Sheshadri Thiruvenkadam , Dirk Ryan Padfield
发明人： Navneeth Subramanian , Anand Magadi Narasimhamurthy , Sheshadri Thiruvenkadam , Dirk Ryan Padfield
IPC分类号： A61B8/14
CPC分类号： A61B8/0883 , G06T7/12 , G06T7/149 , G06T7/215 , G06T7/62 , G06T2207/10132 , G06T2207/20116 , G06T2207/30048
摘要： A method for automatically measuring interventricular septum thickness is provided. The method in one embodiment comprises acquiring a series of ultrasound images of a heart, acquiring a septum mask by applying a septum segmentation algorithm on the series of ultrasound images, localizing a mitral valve tip using a valve tip localization algorithm and calculating the thickness of the interventricular septum using an interventricular septum thickness algorithm. The interventricular septum thickness algorithm uses the septum mask and the localized mitral valve tip as inputs.
摘要翻译： 提供了一种自动测量室间隔厚度的方法。 一个实施例中的方法包括获取心脏的一系列超声图像，通过在一系列超声图像上应用隔膜分割算法获取隔膜掩模，使用阀尖端定位算法定位二尖瓣末端并计算 室间隔使用室间隔厚度算法。 室间隔厚度算法使用隔膜掩模和局部二尖瓣尖端作为输入。
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8.发明授权System and method for identifying an optimal image frame for ultrasound imaging 有权用于识别用于超声成像的最佳图像帧的系统和方法公开(公告)号：US08891881B2
公开(公告)日：2014-11-18
申请号：US13357724
申请日：2012-01-25
申请人： Mithun Das Gupta , Kajoli Banerjee Krishnan , Pavan Kumar Veerabhadra Annangi , Xiaoming Liu , Sri Kaushik Pavani , Navneeth Subramanian , Jyotirmoy Banerjee
发明人： Mithun Das Gupta , Kajoli Banerjee Krishnan , Pavan Kumar Veerabhadra Annangi , Xiaoming Liu , Sri Kaushik Pavani , Navneeth Subramanian , Jyotirmoy Banerjee
CPC分类号： A61B8/5215 , A61B8/0866 , A61B8/461 , A61B8/467 , A61B8/469 , A61B8/5223 , A61B8/56 , G06T7/0002 , G06T7/33 , G06T2207/10132 , G06T2207/30168
摘要： A method for identifying an optimal image frame is presented. The method includes receiving a selection of an anatomical region of interest in an object of interest. Furthermore, the method includes obtaining a plurality of image frames corresponding to the selected anatomical region of interest. The method also includes determining a real-time indicator corresponding to the plurality of acquired image frames, wherein the real-time indicator is representative of quality of an image frame. In addition, the method includes communicating the real-time indicator to aid in selecting an optimal image frame. Systems and non-transitory computer readable medium configured to perform the method for identifying an optimal image frame are also presented.
摘要翻译： 提出了一种用于识别最佳图像帧的方法。 该方法包括在感兴趣的对象中接收感兴趣的解剖区域的选择。 此外，该方法包括获得对应于所选择的感兴趣解剖区域的多个图像帧。 该方法还包括确定对应于多个获取的图像帧的实时指示符，其中实时指示符代表图像帧的质量。 此外，该方法包括传送实时指示符以帮助选择最佳图像帧。 还呈现了被配置为执行用于识别最佳图像帧的方法的系统和非暂时计算机可读介质。
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9.发明授权公开(公告)号：US08715183B2
公开(公告)日：2014-05-06
申请号：US12825755
申请日：2010-06-29
申请人： Navneeth Subramanian , Anand Magadi Narasimhamurthy , Sheshadri Thiruvenkadam , Dirk Ryan Padfield
发明人： Navneeth Subramanian , Anand Magadi Narasimhamurthy , Sheshadri Thiruvenkadam , Dirk Ryan Padfield
IPC分类号： A61B8/00
CPC分类号： A61B8/0883 , G06T7/12 , G06T7/149 , G06T7/215 , G06T7/62 , G06T2207/10132 , G06T2207/20116 , G06T2207/30048
摘要： A method for automatically measuring interventricular septum thickness is provided. The method in one embodiment comprises acquiring a series of ultrasound images of a heart, acquiring a septum mask by applying a septum segmentation algorithm on the series of ultrasound images, localizing a mitral valve tip using a valve tip localization algorithm and calculating the thickness of the interventricular septum using an interventricular septum thickness algorithm. The interventricular septum thickness algorithm uses the septum mask and the localized mitral valve tip as inputs.
摘要翻译： 提供了一种自动测量室间隔厚度的方法。 一个实施例中的方法包括获取心脏的一系列超声图像，通过在一系列超声图像上应用隔膜分割算法获取隔膜掩模，使用阀尖端定位算法定位二尖瓣末端并计算 室间隔使用室间隔厚度算法。 室间隔厚度算法使用隔膜掩模和局部二尖瓣尖端作为输入。
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公开(公告)号：US20110317897A1
公开(公告)日：2011-12-29
申请号：US12889576
申请日：2010-09-24
IPC分类号： G06K9/00
CPC分类号： G06T7/215 , G06T2207/10132 , G06T2207/30048
摘要： A method and apparatus for automated localization of at least one moving structure internal to a body is disclosed. The method in one example comprises acquiring a sequence of images of a region of the body, the region the body including the at least one moving structure, computing a motion map of a current frame of the sequence of the images, identifying a plurality of candidate pixels comprising the motion map, clustering the plurality of candidate pixels into at least one cluster, the at least one cluster corresponding to the at least one moving structure and computing a representative point of each of the at least one cluster.
摘要翻译： 公开了一种用于自动定位身体内部的至少一个移动结构的方法和装置。 该方法在一个实例中包括获取身体的区域的图像序列，包括至少一个移动结构的身体的区域，计算图像序列的当前帧的运动图，识别多个候选 包括所述运动图的像素，将所述多个候选像素聚类成至少一个群集，所述至少一个群集对应于所述至少一个移动结构并且计算所述至少一个群集中的每一个的代表点。
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