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1. 发明授权

US07706600B2 Enhanced virtual navigation and examination 有权
标题翻译：增强虚拟导航和检查
公开(公告)号：US07706600B2
公开(公告)日：2010-04-27
申请号：US10380210
申请日：2001-10-02
申请人： Kevin Kreeger , Sarang Lakare , Zhenrong Liang , Mark R. Wax , Ingmar Bitter , Frank Dachille , Dongqing Chen , Arie E. Kaufman
发明人： Kevin Kreeger , Sarang Lakare , Zhenrong Liang , Mark R. Wax , Ingmar Bitter , Frank Dachille , Dongqing Chen , Arie E. Kaufman
IPC分类号： G06K9/00 , G06K9/36 , A61B5/05 , G06T15/00
CPC分类号： G06T19/20 , G06T7/12 , G06T7/62 , G06T7/64 , G06T15/08 , G06T15/10 , G06T2200/04 , G06T2207/10072 , G06T2207/20044 , G06T2207/20132 , G06T2207/30028 , G06T2207/30061 , G06T2207/30172 , G06T2210/41 , G06T2219/028 , G06T2219/2012
摘要： Virtual navigation (2255) and examination of virtual objects are enhanced using methods of insuring that an entire surface to be examined has been properly viewed. A user interface (FIG. 23) identifies regions which have not been subject to examination and provides a mechanism (2250) to route the user to these regions in the 3D display. Virtual examination is further improved by the use of measuring disks (905) to enhance quantitative measurements such as diameter, distance, volume and angle. Yet another enhancement to the virtual examination of objects is a method of electronic segmentation, or cleaning, which corrects for partial volume effects occurring in an object.
摘要翻译：虚拟导航（2255）和虚拟对象的检查是通过确保正确观察整个被检查表面的方法得到增强。用户界面（图23）识别未经检查的区域，并且提供将用户定向到3D显示中的这些区域的机构（2250）。通过使用测量盘（905）进一步提高虚拟检查以增强诸如直径，距离，体积和角度的定量测量。对物体的虚拟检查的另一个增强是电子分割或清洁的方法，其校正在对象中发生的部分体积效应。

2. 发明授权

US07634133B2 Segmentation of structures based on curvature slope 有权
标题翻译：基于曲率斜率的结构分割
公开(公告)号：US07634133B2
公开(公告)日：2009-12-15
申请号：US11070359
申请日：2005-03-02
申请人： Anna Jerebko , Luca Bogoni , Sarang Lakare
发明人： Anna Jerebko , Luca Bogoni , Sarang Lakare
IPC分类号： G06K9/34
CPC分类号： G06K9/4609 , G06T7/10
摘要： A system and method for segmentation of structures in an image based on curvature slope are provided, the system including a processor, a curvature slope unit in signal communication with the processor for computing curvature slopes in the image and discarding voxels having a slope not satisfying specifications, and a segmentation unit in signal communication with the processor for locating connected clusters of retained voxels; and the method including computing curvature slopes in the image, discarding voxels having a slope not satisfying specifications, and locating connected clusters of retained voxels.
摘要翻译：提供了一种基于曲率斜率来分割图像中的结构的系统和方法，该系统包括处理器，与处理器进行信号通信的曲率斜率单元，用于计算图像中的曲率斜率，并且丢弃具有不满足规格的斜率的体素以及与处理器进行信号通信的分割单元，用于定位保持的体素的连接簇; 并且该方法包括计算图像中的曲率斜率，丢弃具有不满足规格的斜率的体元，以及定位保留体素的连接簇。

3. 发明申请

US20090097728A1 System and Method for Detecting Tagged Material Using Alpha Matting 有权
标题翻译：使用Alpha Matting检测标签材料的系统和方法
公开(公告)号：US20090097728A1
公开(公告)日：2009-04-16
申请号：US12244428
申请日：2008-10-02
申请人： Tin Man Lee , Sarang Lakare , Matthias Wolf
发明人： Tin Man Lee , Sarang Lakare , Matthias Wolf
IPC分类号： G06K9/00
CPC分类号： G06T7/155 , G06T7/11 , G06T7/143 , G06T2207/10081 , G06T2207/30032 , G06T2207/30096
摘要： A method for computer-aided object classification, soft segmentation and layer extraction in computed tomographic colonography includes providing a contrast enhanced computed tomography (CT) digital image of the colon, finding a foreground region of voxels with an intensity higher than a pre-defined foreground threshold, creating a 3D trimap of the colon where the image is segmented into the foreground region, a background region, and an unknown region between the foreground and background, starting from the background, extracting successive layers of the unknown region until the foreground region is reached, and classifying each extracted layer as background or foreground, and generating a foreground matte, a background matte, and an alpha matte, where alpha indicates a mixing ration of foreground and background voxels.
摘要翻译：计算机辅助对象分类，计算机断层造影中的软分割和层提取的方法包括提供冒号的对比度增强计算机断层摄影（CT）数字图像，找到具有高于预定义前景的体素的前景区域阈值，从背景开始，将图像分割成前景区域，背景区域和前景和背景之间的未知区域，从而提取未知区域的连续层，直到前景区域为达到并将每个提取的层分类为背景或前景，并生成前景无光泽，背景无光泽和阿尔法无光泽，其中alpha表示前景和背景体素的混合比。

4. 发明授权

US08213696B2 Tissue detection method for computer aided diagnosis and visualization in the presence of tagging 有权
标题翻译：用于计算机辅助诊断和可视化的组织检测方法
公开(公告)号：US08213696B2
公开(公告)日：2012-07-03
申请号：US12170596
申请日：2008-07-10
申请人： Sarang Lakare
发明人： Sarang Lakare
IPC分类号： G06K9/00
CPC分类号： G06T7/143 , G06K2209/05 , G06T7/11 , G06T2207/10081 , G06T2207/30028
摘要： A method for obtaining a tissue volume, includes inputting a dataset including a plurality of voxels; initializing a tissue probability volume for the plurality of voxels to a pre-determined value; updating, by one of increasing or decreasing the tissue probability volume of each of the plurality of voxels, based on corresponding intensity values of each of the plurality of voxels; and generating the tissue volume by combining the updated tissue probability volume and the inputted dataset.
摘要翻译：一种用于获得组织体积的方法，包括输入包括多个体素的数据集; 将所述多个体素的组织概率体积初始化为预定值; 基于所述多个体素中的每一个的对应强度值，通过增加或减少所述多个体素中的每一个体素的组织概率体积来进行更新; 以及通过组合更新的组织概率体积和输入的数据集来生成组织体积。

5. 发明授权

US08160367B2 Circular intensity distribution analysis for the detection of convex, concave and flat surfaces 有权
标题翻译：圆形强度分布分析用于检测凸面，凹面和平面
公开(公告)号：US08160367B2
公开(公告)日：2012-04-17
申请号：US12018496
申请日：2008-01-23
申请人： Sarang Lakare
发明人： Sarang Lakare
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/48 , G06K9/50
摘要： A method for characterizing a shape of an object surface includes acquiring image data including the object. The image data is analyzed at a locus of points that are at a predetermined distance from a point of interest proximate to the object surface to determine which of the locus of points represents a foreground and which of the locus of points represents a background. The shape of the object surface is characterized based on the characterization of the locus of points.
摘要翻译：用于表征物体表面的形状的方法包括获取包括物体的图像数据。在距离物体表面附近的感兴趣点的预定距离的点处分析图像数据，以确定点的轨迹中哪一个表示前景，并且点的轨迹中的哪一个表示背景。物体表面的形状基于点的轨迹的表征来表征。

6. 发明申请

US20100166276A1 PROBABILISTIC SEGMENTATION IN COMPUTER-AIDED DETECTION 有权
标题翻译：计算机辅助检测中的概率分类
公开(公告)号：US20100166276A1
公开(公告)日：2010-07-01
申请号：US12555799
申请日：2009-09-08
申请人： Shishir Dube , Gerardo Hermosillo Valadez , Sarang Lakare , Yoshihisa Shinagawa
发明人： Shishir Dube , Gerardo Hermosillo Valadez , Sarang Lakare , Yoshihisa Shinagawa
IPC分类号： G06K9/34 , G06K9/00
CPC分类号： G06K9/342 , G06T5/002 , G06T5/40 , G06T7/11 , G06T7/187 , G06T2207/30068
摘要： Described herein is a method and system for facilitating segmentation of images. A difference image is received and processed to extract at least one histogram (402). A noise component is determined by fitting a symmetric Gaussian distribution to the extracted histogram such that the negative portion of the Gaussian distribution coincides with the negative portion of the histogram (403). The noise component is then subtracted from the histogram to generate a probability distribution function (404), which may be converted to a cumulative distribution function (406) and applied to the difference image to generate a probabilistic representation of contrast enhancement (408).
摘要翻译：这里描述了一种便于图像分割的方法和系统。差分图像被接收和处理以提取至少一个直方图（402）。通过将对称高斯分布拟合到所提取的直方图来确定噪声分量，使得高斯分布的负部分与直方图（403）的负部分重合。然后从直方图中减去噪声分量以产生概率分布函数（404），该概率分布函数可被转换为累积分布函数（406）并应用于差分图像以生成对比度增强的概率表示（408）。

7. 发明申请

US20100098308A1 Pulmonary Emboli Detection with Dynamic Configuration Based on Blood Contrast Level 有权
标题翻译：基于血液对比度动态配置的肺栓塞检测
公开(公告)号：US20100098308A1
公开(公告)日：2010-04-22
申请号：US12578768
申请日：2009-10-14
申请人： Sarang Lakare , Dinesh Mysore Siddu
发明人： Sarang Lakare , Dinesh Mysore Siddu
IPC分类号： G06K9/00 , A61K49/04 , A61P9/10 , A61K49/00
CPC分类号： G06K9/6267 , G06K9/6227 , G06K2209/05 , G06T7/0012 , G06T2207/10081 , G06T2207/30061
摘要： A method for automatically detecting pulmonary embolism (PE) candidates within medical image data using an image processing device includes administering radiocontrast into a patient. A sequence of computed tomography (CT) images is acquired. A level of radiocontrast at a pulmonary artery trunk of the patient is determined. One or more PE candidates are detected within a pulmonary artery tree of the patient based on the determined level of radiocontrast at the pulmonary artery trunk. The one or more detected PE candidates are displayed.
摘要翻译：使用图像处理装置自动检测医学图像数据内的肺栓塞（PE）候选物的方法包括对患者施加放射线对比。计算机断层扫描（CT）图像序列获得。确定患者肺动脉干的放射对比水平。基于确定的肺动脉干线上的放射性对比水平，在患者的肺动脉树内检测一个或多个PE候选物。显示一个或多个检测到的PE候选。

8. 发明申请

US20090116709A1 Structure segmentation via MAR-cut 有权
标题翻译：通过MAR切割的结构分割
公开(公告)号：US20090116709A1
公开(公告)日：2009-05-07
申请号：US12259322
申请日：2008-10-28
申请人： Hui Sun , Sangmin Park , Sarang Lakare
发明人： Hui Sun , Sangmin Park , Sarang Lakare
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06T7/162 , G06T7/11 , G06T7/149 , G06T2207/10072 , G06T2207/20101 , G06T2207/20124 , G06T2207/30096
摘要： A method for segmenting image data includes creating a plurality of marching regions within the medical image data. Region-wise segmentation is performed on the plurality of marching regions. Region-wise segmentation may include a normalized cut performed on a graph wherein each marching region represents a node. Region-wise segmentation may also include or may alternatively include a min cut performed on a graph wherein each marching region represents a node. Voxel-wise segmentation is performed on a subset of the plurality of marching regions.
摘要翻译：用于分割图像数据的方法包括在医学图像数据内创建多个行进区域。对多个行进区域执行区域划分。区域分割可以包括在图上执行的归一化切割，其中每个行进区域表示节点。区域分割还可以包括或可选地包括在图上执行的最小切割，其中每个行进区域表示节点。在多个行进区域的子集上执行体素分割。

9. 发明申请

US20090080747A1 User interface for polyp annotation, segmentation, and measurement in 3D computed tomography colonography 有权
标题翻译：用于三维计算机断层扫描结构中息肉注解，分割和测量的用户界面
公开(公告)号：US20090080747A1
公开(公告)日：2009-03-26
申请号：US12231771
申请日：2008-09-05
申请人： Le Lu , Adrian Barbu , Matthias Wolf , Sarang Lakare , Luca Bogoni , Marcos Salganicoff , Dorin Comaniciu
发明人： Le Lu , Adrian Barbu , Matthias Wolf , Sarang Lakare , Luca Bogoni , Marcos Salganicoff , Dorin Comaniciu
IPC分类号： G06K9/00
CPC分类号： G16H40/63 , G06F19/00 , G06T7/0012 , G06T7/12 , G06T2200/24 , G06T2207/10072 , G06T2207/20092 , G06T2207/30032
摘要： A method and system for providing a user interface for polyp annotation, segmentation, and measurement in computer tomography colonography (CTC) volumes is disclosed. The interface receives an initial polyp position in a CTC volume, and automatically segments the polyp based on the initial polyp position. In order to segment the polyp, a polyp tip is detected in the CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary. The segmented polyp is displayed in the user interface, and a user can modify the segmented polyp boundary using the interface. The interface can measure the size of the segmented polyp in three dimensions. The user can also use the interface for polyp annotation in CTC volumes.
摘要翻译：公开了一种用于在计算机断层造影（CTC）体积中提供用于息肉注释，分割和测量的用户界面的方法和系统。界面在CTC体积中接收初始息肉位置，并根据初始息肉位置自动分段息肉。为了分割息肉，使用训练有素的3D点检测器在CTC体积中检测息肉末端。然后将局部极坐标系拟合到CTC体积中的结肠表面，其中原点在检测到的息肉末端。使用训练有素的3D框，在局部极坐标系的每个轴上检测Polyp内部体素和息肉外部体素。基于检测到的息肉内部体素和息肉外部体素，通过使用训练有素的分类器进行升压1D曲线解析，在局部极坐标系的每个轴上检测边界体素。这导致分段息肉边界。分段息肉显示在用户界面中，用户可以使用界面修改分段息肉边界。界面可以在三维中测量分段息肉的大小。用户还可以在CTC卷中使用界面进行息肉注释。

10. 发明申请

US20090016583A1 System and Method for Detecting Spherical and Ellipsoidal Objects Using Cutting Planes 审中-公开
标题翻译：使用切割平面检测球形和椭圆体物体的系统和方法
公开(公告)号：US20090016583A1
公开(公告)日：2009-01-15
申请号：US12169773
申请日：2008-07-09
申请人： Matthias Wolf , Marcos Salganicoff , Sarang Lakare
发明人： Matthias Wolf , Marcos Salganicoff , Sarang Lakare
IPC分类号： G06K9/46
CPC分类号： G06K9/4609 , G06K9/50 , G06K2209/053
摘要： A method for detecting spherical and ellipsoidal objects is digitized medical images includes providing a 2-dimensional (2D) slice I(x, y) extracted from a medical image volume of a colon, said image volume comprising a plurality of intensities associated with a 3 grid of points, generating a plurality of templates of different sizes whose shape matches a target structure being sought in said slice, calculating a normalized gradient from said slice, calculating a diverging field gradient response (DFGR) for each of the plurality of masks with the normalized gradient, and selecting a strongest response as being indicative of the position and size of the target structure.
摘要翻译：用于检测球形和椭圆体的方法是数字化医学图像，包括提供从结肠的医学图像体积提取的二维（2D）切片I（x，y），所述图像体积包括与3 生成多个不同尺寸的模板，其形状与在所述切片中寻找的目标结构相匹配，从所述切片计算归一化梯度，计算多个掩模中的每一个的发散场梯度响应（DFGR）并且选择最强的响应来表示目标结构的位置和大小。

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