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1. 发明申请

WO2007056495A1 SYSTEM AND METHOD FOR COMPUTER AIDED DETECTION VIA ASYMMETRIC CASCADE OF SPARSE LINEAR CLASSIFIERS 审中-公开
标题翻译：用于计算机辅助检测的系统和方法通过非线性分类器的不对称分类
公开(公告)号：WO2007056495A1
公开(公告)日：2007-05-18
申请号：PCT/US2006/043585
申请日：2006-11-08
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , BI, Jinbo , PERIASWAMY, Senthil , OKADA, Kazunori , KUBOTA, Toshiro , FUNG, Glenn , SALGANICOFF, Marcos , RAO, R. Bharat
发明人： BI, Jinbo , PERIASWAMY, Senthil , OKADA, Kazunori , KUBOTA, Toshiro , FUNG, Glenn , SALGANICOFF, Marcos , RAO, R. Bharat
IPC分类号： G06K9/68 , G06K9/62
CPC分类号： G06K9/6256 , G06K9/6282
摘要： A method for computer aided detection of anatomical abnormalities in medical images includes providing a plurality of abnormality candidates (10) and features (11, 13, 15) of said abnormality candidates, and classifying said abnormality candidates as true positives or false positives using a hierarchical cascade of linear classifiers (12, 14, 16) of the form sign (w T x+ b ), wherein x is a feature vector, w is a weighting vector and b is a model parameter, wherein different weights are used to penalize false negatives and false positives, and wherein more complex features are used for each successive stage of said cascade of classifiers.
摘要翻译：一种用于计算机辅助检测医学图像中的解剖异常的方法，包括提供所述异常候选的多个异常候选（10）和特征（11,13,15），并且使用分层次分析将所述异常候选分类为真阳性或假阳性（x，x，x + b）的线性分类器（12,14,16）的级联，其中x是特征向量，w是加权向量，b是模型参数，其中使用不同的权重来惩罚假阴性和假阳性，并且其中对于分级器级联的每个连续阶段使用更复杂的特征。

2. 发明申请

WO2008024359A2 METHOD FOR DETECTION AND VISIONAL ENHANCEMENT OF BLOOD VESSELS AND PULMONARY EMBOLI 审中-公开
标题翻译：血管和肺栓塞的检测和视觉增强的方法
公开(公告)号：WO2008024359A2
公开(公告)日：2008-02-28
申请号：PCT/US2007/018502
申请日：2007-08-21
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , PERIASWAMY, Senthil , SALGANICOFF, Marcos
发明人： PERIASWAMY, Senthil , SALGANICOFF, Marcos
IPC分类号： A61B1/00
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 (22). A gradient of the medical image (22) is calculated. Local shape index information for the calculated gradient of the medical image is calculated. Gradient information in areas having a local shape index not indicative of 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：用于检测医学图像中由明亮强度值（对比度）包围的大致圆柱形内部结构和暗结构的方法包括获取医学图像（22）。计算医学图像（22）的梯度。计算用于计算的医学图像的梯度的局部形状索引信息。具有不表示脊和车辙形状的局部形状指数的区域中的梯度信息被去除。根据剩余的梯度信息计算发散梯度场响应（DGFR）。所述DGFR响应和对车辙和脊区DGFR响应相对量被用作检测所述基本上为圆柱形的内部结构以及圆柱形结构，例如肺栓塞内较暗封闭结构具有区分特征。

3. 发明申请

WO2008024352A2 METHODS AND SYSTEMS FOR REGISTRATION OF IMAGES 审中-公开
标题翻译：用于图像注册的方法和系统
公开(公告)号：WO2008024352A2
公开(公告)日：2008-02-28
申请号：PCT/US2007/018494
申请日：2007-08-21
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , HERMOSILLO VALADEZ, Gerardo , PERIASWAMY, Senthil
发明人： HERMOSILLO VALADEZ, Gerardo , PERIASWAMY, Senthil
IPC分类号： G06T7/00 , G06K9/64
CPC分类号： G06T7/0012 , G06K9/6206 , G06T7/32 , G06T7/38 , G06T2207/10072 , G06T2207/20221 , G06T2207/30004 , G06T2207/30096
摘要： A method for registering images, for example medical images, includes acquiring a first image (13). A second image (14) is acquired. A deformation field for registering the second image to the first image is calculated. The deformation field includes a sum of a plurality of weighted distortion vectors each of which has a substantially Gaussian distribution. The calculated deformation field is applied to the second image to register it to the first image.
摘要翻译：用于配准图像（例如医学图像）的方法包括获取第一图像（13）。获取第二图像（14）。计算用于将第二图像配准到第一图像的变形字段。变形场包括多个加权失真矢量之和，每个加权失真矢量中的每一个具有基本高斯分布。计算出的变形字段应用于第二张图像，以将其注册到第一张图像。

4. 发明申请

WO2008150369A1 AUTOMATIC DETECTION OF LYMPH NODES 审中-公开
标题翻译：自动检测淋巴液
公开(公告)号：WO2008150369A1
公开(公告)日：2008-12-11
申请号：PCT/US2008/006445
申请日：2008-05-20
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , PERIASWAMY, Senthil , ZHOU, Xiang , ZHAN, Yiqiang , KRISHNAN, Arun
发明人： PERIASWAMY, Senthil , ZHOU, Xiang , ZHAN, Yiqiang , KRISHNAN, Arun
IPC分类号： G06T7/00 , G06T7/60
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 (S 101). One or more regions of interest are detected from within the received image data (S 102). 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 (S 103). 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 (S 105). 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 (S 104).
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（S101）。从所接收的图像数据内检测一个或多个感兴趣的区域（S102）。使用对每个淋巴结候选位于所检测的感兴趣区域特有的一组预定义参数来识别一个或多个淋巴结候选物（S103）。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参数的调整，并且基于经调整的参数识别淋巴结候选（S105）。当提供调整时，可以基于调整后的参数识别的淋巴结候选与实时图像数据一起显示（S104）。

5. 发明申请

WO2008024353A3 FINDING BLOB-LIKE STRUCTURES USING DIVERGING GRADIENT FIELD RESPONSE 审中-公开
公开(公告)号：WO2008024353A3
公开(公告)日：2008-02-28
申请号：PCT/US2007/018495
申请日：2007-08-21
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , HERMOSILLO VALADEZ, Gerardo , PERIASWAMY, Senthil
发明人： HERMOSILLO VALADEZ, Gerardo , PERIASWAMY, Senthil
IPC分类号： G06K9/46 , G06T7/60 , G06T7/00
摘要： A system for determining a blob-like structure in a target image includes a memory device (403) storing an input target image and a plurality of instructions embodying a computer aided blob-like structure detection system, and a processor (402) for receiving the input target image and executing the plurality of instructions to perform a method including determining a mean curvature of the input target image, smoothing the mean curvature is smoothed using a scale that determines a size of the blobs to be found, finding a blob-like structure in the input target.image as a portion of the input target image where a smoothed curvature is higher than a threshold value, and outputting a result including an indication of the blob-like structure.

6. 发明申请

WO2006012436A2 SYSTEM AND METHOD FOR CACHE-FRIENDLY VOLUMETRIC IMAGE MEMORY STORAGE 审中-公开
标题翻译：用于高速缓存的体积图像存储器的系统和方法
公开(公告)号：WO2006012436A2
公开(公告)日：2006-02-02
申请号：PCT/US2005/025908
申请日：2005-07-21
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , CATHIER, Pascal , PERIASWAMY, Senthil
发明人： CATHIER, Pascal , PERIASWAMY, Senthil
IPC分类号： G06T1/60
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 (x 1 ,…,x N ) by the formula (I), where i is summed over all bits and n is summed over all dimensions. The coefficient K for the i th bit of the n th dimension is defined as formula (II), where x j is the j th dimension, formula (III), G is a power of 2, sx j represents the size associated with a given dimension, and formula (IV) . Image elements are stored in the computer memory in an order defined by the offset of each image element.
摘要翻译：一种将数字图像存储在计算机存储器中的方法包括：提供N维数字图像，为每个图像元素（x 1，...，x N 2）定义偏移量 >）通过公式（I），其中i在所有位上求和，并且在所有维度上求和。第i 的系数K

7. 发明申请

WO2005083633A2 A SYSTEM AND METHOD FOR TOBOGGAN BASED OBJECT SEGMENTATION USING DIVERGENT GRADIENT FIELD RESPONSE IN IMAGES 审中-公开
标题翻译：基于TOBOGGAN的物体分割的系统和方法，使用图像中的多个梯度场响应
公开(公告)号：WO2005083633A2
公开(公告)日：2005-09-09
申请号：PCT/US2005/005694
申请日：2005-02-23
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , BOGONI, Luca , LIANG, Jianming , PERIASWAMY, Senthil
发明人： BOGONI, Luca , LIANG, Jianming , PERIASWAMY, Senthil
IPC分类号： G06T7/00
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，并且选择一个或多个图像元素簇作为一个或多个候选的对象分割

8. 发明申请

WO2007035285A1 SYSTEM AND METHOD FOR AUTOMATIC EXTRACTION OF SPINAL CORD FROM 3D VOLUMETRIC IMAGES 审中-公开
标题翻译：用于从3D体积图像自动提取脊髓的系统和方法
公开(公告)号：WO2007035285A1
公开(公告)日：2007-03-29
申请号：PCT/US2006/035032
申请日：2006-09-11
申请人： SIEMENS MEDICAL SOLUTIONS USA, INC. , PERIASWAMY, Senthil , OU, Yangming , JEREBKO, Anna
发明人： PERIASWAMY, Senthil , OU, Yangming , JEREBKO, Anna
IPC分类号： G06T5/00 , G06T7/00
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/143 , G06T2207/10088 , G06T2207/30012
摘要： A method of extracting a spinal cord from a digitized medical image includes providing a digitized medical image, selecting (31) a set of points from said image as candidates for belonging to the spine, initializing (33) a probability for each candidate point to belong to said spine, minimizing (34) a weighted sum of square differences of image intensities of said candidate points and intensities determined by a mathematical model of said spine to estimate parameter values for said model, calculating (36) a residual error for each point from the differences at each point between an estimated image intensity calculated (35) from said estimated model parameters and an actual image intensity, updating (37) the candidate point probabilities from said residual errors, and eliminating candidate points whose probability falls below a predetermined value.
摘要翻译：从数字化医学图像提取脊髓的方法包括提供数字化医学图像，从所述图像中选择（31）一组点作为属于脊柱的候选，初始化（33）每个候选点属于的概率对所述脊柱进行最小化（34）所述候选点的图像强度的平方差的加权和和由所述脊柱的数学模型确定的强度，以估计所述模型的参数值，计算（36）每个点的残差从所述估计模型参数计算出的估计图像强度（35）与实际图像强度之间的每个点处的差异，从所述残余误差更新（37）候选点概率，以及消除概率低于预定值的候选点。

9. 发明公开

EP2922472A1 SYSTEM AND METHOD FOR IMPROVING WORKFLOW EFFICIENCIES IN READING TOMOSYNTHESIS MEDICAL IMAGE DATA 有权转让
标题翻译：系统和方法用于在医疗TOMOSYNTHESEBILDDATEN阅读提高工作流程的效率
公开(公告)号：EP2922472A1
公开(公告)日：2015-09-30
申请号：EP13808326.6
申请日：2013-11-22
申请人： iCAD, Inc. , Periaswamy, Senthil , Fotin, Sergey
发明人： PERIASWAMY, Senthil , FOTIN, Sergey
IPC分类号： A61B6/00 , A61B6/02 , G06T7/00
CPC分类号： G06T7/0012 , A61B6/025 , A61B6/466 , A61B6/469 , A61B6/502 , A61B6/5223 , F04C2270/041 , G06T5/50 , G06T7/11 , G06T7/194 , G06T2207/10112 , G06T2207/20221 , G06T2207/30096
摘要： A system and a method are disclosed that forms a novel, synthetic, two-dimensional image of an anatomical region such as a breast. Two-dimensional regions of interest (ROIs) such as masses are extracted from three-dimensional medical image data, such as digital tomosynthesis reconstructed volumes. Using image processing technologies, the ROIs are then blended with two-dimensional image information of the anatomical region to form the synthetic, two-dimensional image. This arrangement and resulting image desirably improves the workflow of a physician reading medical image data, as the synthetic, two-dimensional image provides detail previously only seen by interrogating the three-dimensional medical image data.
摘要翻译：一种系统和一种方法光盘做了游离缺失形式的新的，合成的，解剖区域的二维图像：诸如乳房。感兴趣的二维区域（ROI）：如数字断层合成重建卷：如群众从三维医学图像数据，颜色提取。使用图像处理技术，所述感兴趣区然后用解剖区域的二维图像信息混合，以形成合成的，二维图像。这种布置和产生的图像理想地提高医师读取的医用图像数据的工作流程，如合成的，二维图像提供了详细的以前只通过询问所述三维医学图像数据看出。

10. 发明申请

WO2014082015A1 SYSTEM AND METHOD FOR IMPROVING WORKFLOW EFFICIENCIES IN READING TOMOSYNTHESIS MEDICAL IMAGE DATA 审中-公开
标题翻译：读取医学图像数据中的工作流效率的系统和方法
公开(公告)号：WO2014082015A1
公开(公告)日：2014-05-30
申请号：PCT/US2013/071511
申请日：2013-11-22
申请人： ICAD, INC. , PERIASWAMY, Senthil , FOTIN, Sergey
发明人： PERIASWAMY, Senthil , FOTIN, Sergey
IPC分类号： A61B6/00 , A61B6/02 , G06T7/00
CPC分类号： G06T7/0012 , A61B6/025 , A61B6/466 , A61B6/469 , A61B6/502 , A61B6/5223 , F04C2270/041 , G06T5/50 , G06T7/11 , G06T7/194 , G06T2207/10112 , G06T2207/20221 , G06T2207/30096
摘要： A system and a method are disclosed that forms a novel, synthetic, two-dimensional image of an anatomical region such as a breast. Two-dimensional regions of interest (ROIs) such as masses are extracted from three-dimensional medical image data, such as digital tomosynthesis reconstructed volumes. Using image processing technologies, the ROIs are then blended with two-dimensional image information of the anatomical region to form the synthetic, two-dimensional image. This arrangement and resulting image desirably improves the workflow of a physician reading medical image data, as the synthetic, two-dimensional image provides detail previously only seen by interrogating the three-dimensional medical image data.
摘要翻译：公开了一种形成诸如乳房的解剖区域的新颖的，合成的二维图像的系统和方法。从三维医学图像数据（例如数字断层合成重建体积）中提取诸如质量的二维感兴趣区域（ROI）。使用图像处理技术，然后将ROI与解剖区域的二维图像信息混合以形成合成的二维图像。由于合成的二维图像提供了先前仅通过询问三维医学图像数据所看到的细节，所以这种布置和产生的图像期望地改善了医师读取医学图像数据的工作流程。

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