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公开(公告)号：US20060018555A1
公开(公告)日：2006-01-26
申请号：US11185602
申请日：2005-07-20
申请人： Pascal Cathier , Senthil Periaswamy
发明人： Pascal Cathier , Senthil Periaswamy
IPC分类号： G06K9/36
CPC分类号： G06T1/60
摘要： A method of storing a digital image in a computer memory includes providing a N-dimensional digital image, defining an offset for each image element (x1, . . . , xN) by the formula offset ( x 1 , … , x N ) = ∑ i ∑ n = 1 N K x n ( i ) x ni , where i is summed over all bits and n is summed over all dimensions. The coefficient K for the ith bit of the nth dimension is defined as K x n ( i ) = ( ∏ j = 1 n - 1 f ( x j , 2 i + 1 , sx j ) ) 2 i ( ∏ j = n + 1 N f ( x j , 2 i , sx j ) ) , where xj is the jth dimension, f(x,G,sxj)=min(G,sxj−└x┘G) G is a power of 2, sxj represents the size associated with a given dimension, and └x┘G=x−x mod G. Image elements are stored in the computer memory in an order defined by the offset of each image element.
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12.发明授权Organ localization in biomedical image data using gradient fields cross-correlation 有权器官定位在生物医学图像数据中使用梯度场互相关公开(公告)号：US09311705B1
公开(公告)日：2016-04-12
申请号：US13341528
申请日：2011-12-30
申请人： Sergey Fotin , Senthil Periaswamy
发明人： Sergey Fotin , Senthil Periaswamy
CPC分类号： G06T7/0014 , G06T7/74 , G06T2207/10088 , G06T2207/30081 , G06T7/0012 , A61B6/12
摘要： This invention provides a system, method and computer-readable medium for detecting and localizing organs and other regions of interest in medical image data provided by a medical imaging procedure using gradient template information with respect to an example of the imaged organ and cross-correlation techniques to generate object detection information. In an embodiment, the detection and localization process/processor receives a plurality of gradient templates and employers a template with the closest matching cross-correlation to the gradient of the organ in the medical image.
摘要翻译： 本发明提供了一种系统，方法和计算机可读介质，用于检测和定位由医学成像程序提供的医学图像数据中的器官和其他感兴趣区域，所述医学图像数据使用关于成像器官和互相关技术的示例的梯度模板信息 生成对象检测信息。 在一个实施例中，检测和定位处理/处理器接收多个梯度模板和雇主具有与医学图像中器官的梯度最接近的匹配互相关的模板。
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13.发明授权System and method for filtering and automatic detection of candidate anatomical structures in medical images 有权用于过滤和自动检测医学图像中候选解剖结构的系统和方法公开(公告)号：US07912292B2
公开(公告)日：2011-03-22
申请号：US10985548
申请日：2004-11-10
申请人： Senthil Periaswamy , Luca Bogoni
发明人： Senthil Periaswamy , Luca Bogoni
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K9/4609 , G06T7/64 , G06T2207/10081 , G06T2207/30028 , G06T2207/30032
摘要： A system and method for determining the presence or absence of candidate objects in a digital image by computing a gradient field of the digital image and then applying predetermined filters to the gradient field to obtain a response image which can be further processed to detect the objects. The application of these filters to the digital image can be performed by convolution and the filters can be adapted based on the shape of the object to be searched.
摘要翻译： 一种用于通过计算数字图像的梯度场然后将预定滤波器应用于梯度场来确定数字图像中候选对象的存在或不存在的系统和方法，以获得能够进一步处理以检测对象的响应图像。 可以通过卷积来执行这些滤波器到数字图像的应用，并且可以基于要搜索的对象的形状来适配滤波器。
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14.发明申请Computer-Aided Detection of Regions of Interest in Tomographic Breast Imagery 有权计算机辅助检测断层乳腺成像中的感兴趣区域公开(公告)号：US20100128950A1
公开(公告)日：2010-05-27
申请号：US12579898
申请日：2009-10-15
CPC分类号： A61B6/5217 , A61B6/03 , A61B6/502 , G06K9/3233 , G06K2209/053 , G06T7/0012 , G06T2207/10072 , G06T2207/10124 , G06T2207/20104 , G06T2207/20108 , G06T2207/30068
摘要： Disclosed are methods, and associated systems comprising processors, input devices and output devices, of detecting regions of interest in a tomographic breast image. The methods may comprise: acquiring tomographic breast image data; deriving a plurality of synthetic sub-volumes from the tomographic breast image data; wherein each subvolume is defined by parallel planar top and bottom surfaces; wherein planar top and bottom surfaces of successive subvolumes are parallel to each other; and wherein a top planar surface of a sub-volume is offset from a top planar surface of a prior sub-volume, such that successive sub-volumes overlap; for each sub-volume, deriving a two-dimensional image; for each two-dimensional image, identifying regions of interest therein; deriving at least one region of interest of potential clinical interest from a plurality of identified regions of interest; and outputting information associated with at least one derived region of interest of potential clinical interest.
摘要翻译： 公开了包括处理器，输入设备和输出设备的方法和相关系统，其检测断层图像乳房图像中的感兴趣区域。 所述方法可以包括：获取断层摄影乳房图像数据; 从断层图像乳房图像数据中导出多个合成子体积; 其中每个子体积由平行的平面顶部和底部表面限定; 其中连续子体积的平面顶表面和底表面彼此平行; 并且其中子体积的顶部平坦表面偏离先前子体积的顶部平坦表面，使得连续的子体积重叠; 对于每个子体积，导出二维图像; 对于每个二维图像，识别其中感兴趣的区域; 从多个确定的感兴趣区域中产生潜在临床兴趣的至少一个感兴趣区域; 并输出与潜在临床感兴趣的至少一个感兴趣的衍生区域相关联的信息。
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公开(公告)号：US07598960B2
公开(公告)日：2009-10-06
申请号：US11185602
申请日：2005-07-20
申请人： Pascal Cathier , Senthil Periaswamy
发明人： Pascal Cathier , Senthil Periaswamy
CPC分类号： G06T1/60
摘要： A method of storing a digital image in a computer memory includes providing a N-dimensional digital image, defining an offset for each image element (x1, . . . , xN) by the formula offset ( x 1 , … , x N ) = ∑ i ∑ n = 1 N K x n ( i ) x ni , where i is summed over all bits and n is summed over all dimensions. The coefficient K for the ith bit of the nth dimension is defined as K x n ( i ) = ( ∏ j = 1 n - 1 f ( x j , 2 i + 1 , sx j ) ) 2 i ( ∏ j = n + 1 N f ( x j , 2 i , sx j ) ) , where xj is the jth dimension, f(x,G,sxj)=min(G,sxj−└x┘G) G is a power of 2, sxj represents the size associated with a given dimension, and └x┘G=x−x mod G. Image elements are stored in the computer memory in an order defined by the offset of each image element.
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16.发明授权System and method for toboggan based object segmentation using divergent gradient field response in images 有权用于基于图像中发散梯度场响应的滑冰基对象分割的系统和方法公开(公告)号：US07526115B2
公开(公告)日：2009-04-28
申请号：US11062411
申请日：2005-02-22
申请人： Luca Bogoni , Jianming Liang , Senthil Periaswamy
发明人： Luca Bogoni , Jianming Liang , Senthil Periaswamy
IPC分类号： G06K9/00
CPC分类号： G06K9/44 , G06K9/342 , G06T7/11 , G06T7/155 , G06T2207/10072 , G06T2207/20152 , G06T2207/30032
摘要： A method and device for segmenting one or more candidates in an image having image elements is disclosed. The method includes identifying a location for one of the candidates in the image, where the location is based at a given image element, and computing one or more response values at neighboring image elements that are in a neighborhood of the location. Image element clusters are created from the computed response values and one or more of the image element clusters are selected as object segmentations for one or more of the candidates.
摘要翻译： 公开了一种用于在具有图像元素的图像中分割一个或多个候选的方法和装置。 该方法包括识别图像中的候选者之一的位置，其中位置基于给定图像元素，以及计算位于该位置附近的相邻图像元素处的一个或多个响应值。 从计算的响应值创建图像元素簇，并且将一个或多个图像元素簇选择为一个或多个候选的对象分割。
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17.发明申请System and method for filtering and automatic detection of candidate anatomical structures in medical images 有权用于过滤和自动检测医学图像中候选解剖结构的系统和方法公开(公告)号：US20050105800A1
公开(公告)日：2005-05-19
申请号：US10985548
申请日：2004-11-10
申请人： Senthil Periaswamy , Luca Bogoni
发明人： Senthil Periaswamy , Luca Bogoni
CPC分类号： G06T7/0012 , G06K9/4609 , G06T7/64 , G06T2207/10081 , G06T2207/30028 , G06T2207/30032
摘要： A system and method for determining the presence or absence of candidate objects in a digital image by computing a gradient field of the digital image and then applying predetermined filters to the gradient field to obtain a response image which can be further processed to detect the objects. The application of these filters to the digital image can be performed by convolution and the filters can be adapted based on the shape of the object to be searched.
摘要翻译： 一种用于通过计算数字图像的梯度场然后将预定滤波器应用于梯度场来确定数字图像中候选对象的存在或不存在的系统和方法，以获得能够进一步处理以检测对象的响应图像。 可以通过卷积来执行这些滤波器到数字图像的应用，并且可以基于要搜索的对象的形状来适配滤波器。
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公开(公告)号：US08494235B2
公开(公告)日：2013-07-23
申请号：US12121865
申请日：2008-05-16
申请人： Senthil Periaswamy , Xiang Zhou , Yiqiang Zhan , Arun Krishnan
发明人： Senthil Periaswamy , Xiang Zhou , Yiqiang Zhan , Arun Krishnan
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/62 , G06T7/68 , G06T2207/30101
摘要： A method for detecting lymph nodes in a medical image includes receiving image data. One or more regions of interest are detected from within the received image data. One or more lymph node candidates are identified using a set of predefined parameters that is particular to the detected region of interest where each lymph node candidate is located. The identifying unit may identify the one or more lymph node candidates by performing DGFR processing. The method may also include receiving user-provided adjustments to the predefined parameters that are particular to the detected regions of interest and identifying the lymph node candidates based on the adjusted parameters. The lymph node candidates identified based on the adjusted parameters may be displayed along with the image data in real-time as the adjustments are provided.
摘要翻译： 用于检测医学图像中的淋巴结的方法包括接收图像数据。 从所接收的图像数据中检测一个或多个感兴趣的区域。 使用一组预定义的参数来识别一个或多个淋巴结候选物，该组预定参数对于检测到的每个淋巴结候选者所在的感兴趣区域是特别的。 识别单元可以通过执行DGFR处理来识别一个或多个淋巴结候选。 该方法还可以包括接收用户提供的对所检测到的感兴趣区域特有的预定义参数的调整，并且基于经调整的参数来识别淋巴结候选。 随着提供调整，可以实时地显示基于调整后的参数识别的淋巴结候选以及图像数据。
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19.发明授权Systems and methods for identifying suspicious anomalies using information from a plurality of images of an anatomical colon under study 有权使用来自正在研究的解剖结肠的多个图像的信息来识别可疑异常的系统和方法公开(公告)号：US08213700B2
公开(公告)日：2012-07-03
申请号：US12415664
申请日：2009-03-31
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , G06K2209/053 , G06T7/0012 , G06T2207/10081 , G06T2207/10088 , G06T2207/30032
摘要： Systems, computer-readable media, and methods are presented that identify suspicious anomalies in a colon with higher sensitivity and at a lower false positive rate. A plurality of images of an anatomical colon is acquired. Candidate suspicious anomalies are identified in each image. The candidate suspicious anomalies across images are then compared using registration and matching. Features of candidate suspicious anomalies across images may be jointly evaluated to perform classification.
摘要翻译： 提出了系统，计算机可读介质和方法，其以更高的灵敏度和更低的假阳性率鉴定结肠中的可疑异常。 获取解剖结肠的多个图像。 每个图像中都有可疑的可疑异常。 然后通过注册和匹配来比较跨图像的候选可疑异常。 跨图像的候选可疑异常的特征可以联合评估以进行分类。
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20.发明申请SYSTEMS, COMPUTER-READABLE MEDIA, AND METHODS FOR THE CLASSIFICATION OF ANOMALIES IN VIRTUAL COLONOGRAPHY MEDICAL IMAGE PROCESSING 审中-公开系统，计算机可读介质，以及虚拟组织医学图像处理中异常分类的方法公开(公告)号：US20110206250A1
公开(公告)日：2011-08-25
申请号：US12711759
申请日：2010-02-24
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06K2209/051 , G06K2209/057 , G06T2207/10081 , G06T2207/30032
摘要： This discloses methods and systems for the processing of medical image data of a colon acquired with an imaging device, such as a computerized tomography (“CT”) scanner and more particularly, to methods and systems for the classification of structures or objects in said medical image data. The disclosed methods and systems analyze image data for objects such as rectal tubes or stools, or for clusters of suspicious regions, and may eliminate such objects from further analysis prior to presenting potential polyps to a user.
摘要翻译： 这公开了用于处理用诸如计算机断层摄影（“CT”）扫描仪的成像装置获取的结肠的医学图像数据的处理方法和系统，更具体地，涉及用于在所述医学中分类结构或物体的方法和系统 图像数据。 公开的方法和系统分析诸如直肠管或粪便之类的物体或可疑区域的集束的图像数据，并且可以在向用户呈现潜在的息肉之前将这些物体进一步分析。
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