公开(公告)号：US07460130B2

公开(公告)日：2008-12-02

申请号：US10380720

申请日：2001-09-21

申请人： Marcos Salganicoff

发明人： Marcos Salganicoff

IPC分类号： G06F9/00 ,  G06F3/14 ,  G06K9/00 ,  H04N7/18

CPC分类号： G06F17/30017 ,  A61B5/14532

摘要： Image acquisition refers to the taking of digital images of multiple views of the object of interest. In the processing step, the constituent images collected in the image acquisition step are selected and further processed to form a multimedia sequence which allows for the interactive view of the object. Furthermore, during the Processing phase, the entire multimedia sequence is compressed and digitally signed to authorize it viewing. In the Storage and Caching Step, the resulting multimedia sequence is sent to a storage servers. In the Transmission and viewing step, a Viewer (individual) may request a particular multi-media sequence, for example, by selecting a particular hyperlink within a browser, which initiates the downloading, checking of authorization to view, decompression and interactive rendering of the multi-media sequence on the end-users terminal, which could be any one of a variety of devices, including a desktop PC, or a hand-held device.

摘要翻译： 图像采集是指拍摄感兴趣对象的多个视图的数字图像。 在处理步骤中，选择并进一步处理在图像获取步骤中收集的构成图像以形成允许对象的交互视图的多媒体序列。 此外，在处理阶段，整个多媒体序列被压缩并进行数字签名以授权查看。 在存储和缓存步骤中，产生的多媒体序列被发送到存储服务器。 在传送和观看步骤中，查看器（个人）可以请求特定的多媒体序列，例如通过选择浏览器内的特定超链接，启动下载，查看权限，解压缩和交互式渲染 终端用户终端上的多媒体序列，其可以是包括台式PC或手持设备在内的各种设备中的任一种。

公开(公告)号：US20060239585A1

公开(公告)日：2006-10-26

申请号：US11393516

申请日：2006-03-30

申请人： Gerardo Valadez ,  Marcos Salganicoff

发明人： Gerardo Valadez ,  Marcos Salganicoff

IPC分类号： G06K9/40

CPC分类号： G06T3/0075 ,  G06T5/50 ,  G06T7/30 ,  G06T2207/20224 ,  G06T2207/30101

摘要： A system and method for reducing artifacts in a motion corrected image sequence are provided. A method reducing an artifact in a motion corrected image sequence comprises: applying a deformation to a reference image of a plurality of post-contrast enhanced images to obtain an interpolated version of the reference image; and performing a registration between the interpolated version of the reference image and a pre-contrast enhanced image and the plurality of post-contrast enhanced images to obtain a plurality of motion corrected images.

摘要翻译： 提供了用于减少运动校正图像序列中的伪影的系统和方法。 减少运动校正图像序列中的伪像的方法包括：将变形应用于多个对比度增强图像的参考图像，以获得参考图像的内插版本; 以及在参考图像的内插版本与预处理增强图像之间执行注册，以及执行多个后对比增强图像以获得多个运动校正图像。

公开(公告)号：US20060209063A1

公开(公告)日：2006-09-21

申请号：US11247609

申请日：2005-10-11

申请人： Jianming Liang ,  Matthias Wolf ,  Marcos Salganicoff

发明人： Jianming Liang ,  Matthias Wolf ,  Marcos Salganicoff

IPC分类号： G06T15/00

CPC分类号： G06K9/342 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/155 ,  G06T2207/10081 ,  G06T2207/20152 ,  G06T2207/30032 ,  G06T2207/30064 ,  G06T2207/30101

摘要： An exemplary method of detecting one or more objects in image data is provided. The image data includes a plurality of pixels/voxels. The method includes sliding pixels/voxels that meet sliding criteria; and collecting the slid pixels/voxels that satisfy collecting criteria. An exemplary method of segmenting an object in image data is also provided. The method includes receiving an initial pixel/voxel in the image data; and forming a segmentation of the object based on the initial pixel/voxel.

摘要翻译： 提供了检测图像数据中的一个或多个对象的示例性方法。 图像数据包括多个像素/体素。 该方法包括符合滑动标准的滑动像素/体元; 并收集满足收集标准的滑动像素/体素。 还提供了分割图像数据中的对象的示例性方法。 该方法包括在图像数据中接收初始像素/体元; 并基于初始像素/体元形成对象的分割。

公开(公告)号：US20060150216A1

公开(公告)日：2006-07-06

申请号：US11133759

申请日：2005-05-20

申请人： Frederick Herz ,  Lyle Ungar ,  Jian Zhang ,  David Wachob ,  Marcos Salganicoff

发明人： Frederick Herz ,  Lyle Ungar ,  Jian Zhang ,  David Wachob ,  Marcos Salganicoff

IPC分类号： H04N5/445

CPC分类号： H01H1/00 ,  G06Q20/383 ,  G06Q30/02 ,  H04H60/06 ,  H04H60/31 ,  H04H60/46 ,  H04L9/0662 ,  H04L9/0825 ,  H04L2209/60 ,  H04N5/44543 ,  H04N7/14 ,  H04N7/163 ,  H04N7/165 ,  H04N7/1675 ,  H04N7/173 ,  H04N7/17318 ,  H04N7/17354 ,  H04N21/222 ,  H04N21/2223 ,  H04N21/23106 ,  H04N21/252 ,  H04N21/25891 ,  H04N21/262 ,  H04N21/26241 ,  H04N21/26603 ,  H04N21/2668 ,  H04N21/4332 ,  H04N21/44222 ,  H04N21/4532 ,  H04N21/454 ,  H04N21/4622 ,  H04N21/466 ,  H04N21/4665 ,  H04N21/4755 ,  H04N21/4782 ,  H04N21/812 ,  Y10S707/99936 ,  Y10S707/99939

摘要： A system and method for scheduling the receipt of desired movies and other forms of data from a network which simultaneously distributes many sources of such data to many customers, as in a cable television system. Customer profiles are developed for the recipient describing how important certain characteristics of the broadcast video program, movie or other data are to each customer. From these profiles, an “agreement matrix” is calculated by comparing the recipient's profiles to the actual profiles of the characteristics of the available video programs, movies, or other data. The agreement matrix thus characterizes the attractiveness of each video program, movie, or other data to each prospective customer. “Virtual” channels are generated from the agreement matrix to produce a series of video or data programming which will provide the greatest satisfaction to each customer. Feedback paths are also provided so that the customer's profiles and/or the profiles of the video programs or other data may be modified to reflect actual usage. Kiosks are also developed which assist customers in the selection of videos, music, books, and the like in accordance with the customer's objective profiles.

公开(公告)号：US20140294263A1

公开(公告)日：2014-10-02

申请号：US13853174

申请日：2013-03-29

申请人： Gerardo Hermosillo Valadez ,  Marcos Salganicoff ,  Matthias Wolf ,  Xiang Sean Zhou ,  Yiqiang Zhan

发明人： Gerardo Hermosillo Valadez ,  Marcos Salganicoff ,  Matthias Wolf ,  Xiang Sean Zhou ,  Yiqiang Zhan

IPC分类号： G06T7/00

CPC分类号： G06T7/0028 ,  G06T7/33 ,  G06T2207/30004

摘要： Disclosed herein is a framework for facilitating synchronized image navigation. In accordance with one aspect, at least first and second medical images are received. A non-linear mapping between the first and second medical images is generated. A selection of a given location in the first medical image is received in response to a user's navigational operation. Without deforming the second medical image, a target location in the second medical image is determined by using the non-linear mapping. The target location corresponds to the given location in the first medical image. An optimized deformation-free view of the second medical image is generated based at least in part on the target location. While the user performs navigational operations on the first medical image, the framework repeatedly receives the selection of the given location, determines the target location using the non-linear mapping, and generates the optimized deformation-free view of the second medical image based at least in part on the target location.

摘要翻译： 这里公开了一种促进同步图像导航的框架。 根据一个方面，至少接收第一和第二医学图像。 产生第一和第二医学图像之间的非线性映射。 响应于用户的导航操作接收对第一医疗图像中的给定位置的选择。 在不使第二医用图像变形的情况下，通过使用非线性映射来确定第二医用图像中的目标位置。 目标位置对应于第一医疗图像中的给定位置。 至少部分地基于目标位置产生第二医疗图像的优化的无变形视图。 当用户在第一医学图像上执行导航操作时，框架重复地接收对给定位置的选择，使用非线性映射确定目标位置，并且至少基于第二医学图像生成优化的无变形视图 部分在目标位置。

公开(公告)号：US08165369B2

公开(公告)日：2012-04-24

申请号：US12243387

申请日：2008-10-01

申请人： Toshiro Kubota ,  Anna Jerebko ,  Marcos Salganicoff

发明人： Toshiro Kubota ,  Anna Jerebko ,  Marcos Salganicoff

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T7/187 ,  G06T2207/30064

摘要： A method for differentiating pulmonary nodules in digitized medical images includes identifying an object of interest from a digital image of the lungs, computing a first distance map of each point of the object of interest, determining a seed point from the first distance map, starting from the seed point, growing a first region by adding successive adjacent layers of points until a background point is reached, and partitioning the first region into a nodule region and a non-nodule region.

摘要翻译： 用于区分数字化医学图像中的肺结节的方法包括从肺的数字图像识别感兴趣对象，计算感兴趣对象的每个点的第一距离图，从第一距离图确定种子点，从 种子点，通过添加连续的相邻层点直到达到背景点来生长第一区域，并将第一区域划分成结节区域和非结节区域。

公开(公告)号：US07961923B2

公开(公告)日：2011-06-14

申请号：US11841168

申请日：2007-08-20

申请人： Senthil Periaswamy ,  Marcos Salganicoff

发明人： Senthil Periaswamy ,  Marcos Salganicoff

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06K9/4609 ,  G06K2209/05 ,  G06T5/50 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/30061 ,  G06T2207/30101

摘要： A method for detecting a substantially cylindrical internal structures and dark structures surrounded by bright intensity values (contrast) in a medical image includes acquiring a medical image. A gradient of the medical image is calculated. Local shape index information for the calculated gradient of the medical image is calculated. Gradient information having a local shape index not indicative of a ridge and rut shapes is removed. Diverging gradient field responses (DGFR) are calculated based on the remaining gradient information. The DGFR responses and relative amount of DGFR responses for the rut and ridge areas is used as a discriminative feature in detecting the substantially cylindrical internal structure as well as darker occluding structures within cylindrical structures such as Pulmonary Emboli.

摘要翻译： 用于检测医疗图像中由亮度值（对比度）包围的基本上圆柱形的内部结构和暗结构的方法包括获取医学图像。 计算医学图像的梯度。 计算医学图像的计算梯度的局部形状指数信息。 具有不表示脊和车辙形状的局部形状指标的梯度信息被去除。 基于剩余梯度信息计算发散梯度场响应（DGFR）。 用于车辙和脊部区域的DGFR响应和DGFR响应的相对量用作检测圆柱形结构（例如肺栓塞）中的基本上圆柱形的内部结构以及较暗的闭塞结构的鉴别特征。

公开(公告)号：US07876943B2

公开(公告)日：2011-01-25

申请号：US12241183

申请日：2008-09-30

申请人： Anna Jerebko ,  Marcos Salganicoff ,  Maneesh Dewan ,  Harald Steck

发明人： Anna Jerebko ,  Marcos Salganicoff ,  Maneesh Dewan ,  Harald Steck

IPC分类号： G06K9/00 ,  A61B5/00

CPC分类号： G06K9/6278 ,  G06K2209/05 ,  G06K2209/053 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/143 ,  G06T2207/30028 ,  G06T2207/30061

摘要： According to an aspect of the invention, a method for training a classifier for classifying candidate regions in computer aided diagnosis of digital medical images includes providing a training set of annotated images, each image including one or more candidate regions that have been identified as suspicious, deriving a set of descriptive feature vectors, where each candidate region is associated with a feature vector. A subset of the features are conditionally dependent, and the remaining features are conditionally independent. The conditionally independent features are used to train a naïve Bayes classifier that classifies the candidate regions as lesion or non-lesion. A joint probability distribution that models the conditionally dependent features, and a prior-odds probability ratio of a candidate region being associated with a lesion are determined from the training images. A new classifier is formed from the naïve Bayes classifier, the joint probability distribution, and the prior-odds probability ratio.

摘要翻译： 根据本发明的一个方面，一种训练分类器的方法，用于对数字医学图像的计算机辅助诊断中的候选区域进行分类，包括提供注释图像的训练集，每个图像包括已被识别为可疑的一个或多个候选区域， 导出一组描述性特征向量，其中每个候选区域与特征向量相关联。 特征的子集有条件依赖，其余的特征是有条件的独立的。 条件独立的特征用于训练将候选区域分类为病变或非损伤的朴素贝叶斯分类器。 从训练图像确定与条件相关特征建模的联合概率分布以及与病变相关联的候选区域的先验概率概率。 从初始贝叶斯分类器，联合概率分布和先验概率概率比构成新的分类器。

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。

公开(公告)号：US20090016589A1

公开(公告)日：2009-01-15

申请号：US12169781

申请日：2008-07-09

申请人： Matthias Wolf ,  Marcos Salganicoff

发明人： Matthias Wolf ,  Marcos Salganicoff

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06K2209/053 ,  G06T7/12 ,  G06T7/181 ,  G06T2207/10081 ,  G06T2207/30032

摘要： A method for performing computer-assisted diagnosis includes receiving a plurality of two-dimensional views of an internal structure, defining a search space around one or more areas of analysis within each view of the internal structure, calculating a convex hull for each area of analysis within each search space of each view of the internal structure, determining a set of foreground pixels that are located within the convex hull for each area of analysis within each search space within each view of the internal structure, and for each area of analysis, merging the set of foreground pixels that are located within the convex hull from each view.

摘要翻译： 一种用于执行计算机辅助诊断的方法包括接收内部结构的多个二维视图，在内部结构的每个视图内围绕一个或多个分析区域定义搜索空间，为每个分析区域计算凸包 在内部结构的每个视图的每个搜索空间内，为内部结构的每个视图内的每个搜索空间内的每个分析区域确定位于凸包内的一组前景像素，并且对于每个分析区域，合并 从每个视图位于凸包中的前景像素集合。