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1. 发明授权

US08805043B1 System and method for creating and using intelligent databases for assisting in intima-media thickness (IMT) 有权
标题翻译：用于创建和使用智能数据库以辅助内膜中厚度（IMT）的系统和方法
公开(公告)号：US08805043B1
公开(公告)日：2014-08-12
申请号：US12799177
申请日：2010-04-20
申请人： Jasjit S. Suri
发明人： Jasjit S. Suri
IPC分类号： G06K9/00 , A61B8/08
CPC分类号： A61B8/52 , A61B8/0891 , A61B8/5223 , G06T7/0012 , G06T2207/10132 , G06T2207/20016 , G06T2207/30101
摘要： A computer-based system for creating and using intelligent databases for assisting in intima-media thickness (IMT) measurements. Various embodiments utilize clinical data (images) to design intelligent clinical data sets, including geometric markers like blood vessel centerline, which can then be used with conventional image processing to compute the intima-media thickness of the carotid walls. The intelligent clinical image data utilizes the demographics (ethnity/race, gender and age) to classify the data. Finally, the intelligent database is used to collect intelligent parameters which are then applied to the incoming patients to estimate their intima-media thickness.
摘要翻译：一种基于计算机的系统，用于创建和使用智能数据库来协助内膜厚度（IMT）测量。各种实施例利用临床数据（图像）来设计智能临床数据集，包括像血管中心线的几何标记，其随后可以与常规图像处理一起使用以计算颈动脉壁的内膜 - 中膜厚度。智能临床图像数据利用人口统计学（种族/种族，性别和年龄）对数据进行分类。最后，智能数据库用于收集智能参数，然后将其应用于入院患者，以估计其内膜中层厚度。

2. 发明授权

US08639008B2 Mobile architecture using cloud for data mining application 失效
标题翻译：移动架构使用云进行数据挖掘应用
公开(公告)号：US08639008B2
公开(公告)日：2014-01-28
申请号：US13449518
申请日：2012-04-18
申请人： Jasjit S. Suri
发明人： Jasjit S. Suri
IPC分类号： G06K9/00
CPC分类号： A61B5/0013 , A61B5/0022 , A61B5/02007 , A61B5/055 , A61B6/5217 , A61B8/5223 , G06F19/00 , G06F19/321 , G16H10/60 , G16H50/20 , G16H50/30 , G16H50/70
摘要： Three tier architecture for image-based diagnosis and monitoring application using Cloud is described. The presentation layer is run on the tablet (mobile device), while the business and persistence layer runs on a single cloud or distributed on different Clouds in a multi-tenancy and multi-user application. Such architecture is used for automated data mining application for computing (a) cardiovascular risk, stroke risk using IMT measurement, plaque characterization, (b) computing diagnostic index for benign vs. malignant tissue for ovarian cancer classification (c) benign vs. malignant tissue characterization for prostate cancer and (d) classification of fatty liver disease vs. normal cases. The Architecture is for data mining application.
摘要翻译：描述了使用云的基于图像的诊断和监控应用的三层架构。表现层在平板电脑（移动设备）上运行，而业务和持久层在多租户和多用户应用程序中运行在单个云上或分布在不同的云上。这种架构用于计算自动化数据挖掘应用（a）使用IMT测量，斑块表征的心血管风险，卒中风险，（b）用于卵巢癌分类的良性与恶性组织的计算诊断指标（c）良性与恶性组织表征前列腺癌和（d）脂肪肝疾病与正常情况的分类。架构用于数据挖掘应用。

3. 发明申请

US20130251103A1 METHOD FOR BREAST SCREENING IN FUSED MAMMOGRAPHY 有权
标题翻译：融合乳腺切片筛查方法
公开(公告)号：US20130251103A1
公开(公告)日：2013-09-26
申请号：US13694836
申请日：2012-11-30
申请人： Jasjit S. SURI , Yajie SUN , Roman JANER
发明人： Jasjit S. SURI , Yajie SUN , Roman JANER
IPC分类号： A61B6/00
CPC分类号： A61B6/5247 , A61B6/032 , A61B6/4417 , A61B6/502 , A61B6/52 , A61B6/5217 , A61B8/0825 , A61B8/4416 , A61B8/5238 , G06T7/0012 , G06T7/0081 , G06T7/0091 , G06T7/11 , G06T7/12 , G06T7/155 , G06T7/168 , G06T11/003 , G06T2207/10112 , G06T2207/10116 , G06T2207/10136 , G06T2207/20016 , G06T2207/20076 , G06T2207/20168 , G06T2207/30068 , G06T2207/30096
摘要： A method for use in medical imaging of a patient including, with the patient immobilized with respect to an imaging reference frame, acquiring first digital imaging information including a first region of interest using a first imaging modality; processing the first digital imaging information to identify a feature for analysis; and using a second imaging modality to acquire targeted second imaging information for a second region of interest, the second region of interest corresponding to a subset of the first region of interest, wherein the second region of interest includes the feature for analysis. An apparatus for use in medical imaging comprising structure for immobilizing a patient with respect to an imaging reference frame; a first imaging system for acquiring first digital imaging information including a first region of interest using a first imaging modality; a processor processing the first digital imaging information using a diagnostic tool to identify a feature of interest; and a second imaging system for acquiring second imaging information using a second imaging modality, the second imaging information corresponding to a second region of interest including the feature for analysis.
摘要翻译：一种用于患者的医学成像的方法，包括：相对于成像参考系被固定的患者，使用第一成像模态获取包括第一感兴趣区域的第一数字成像信息; 处理第一数字成像信息以识别用于分析的特征; 以及使用第二成像模式来获取第二感兴趣区域的目标第二成像信息，所述第二感兴趣区域对应于所述第一感兴趣区域的子集，其中所述第二感兴趣区域包括用于分析的特征。一种用于医学成像的装置，包括用于使患者相对于成像参考框架固定的结构; 第一成像系统，用于使用第一成像模态获取包括第一感兴趣区域的第一数字成像信息; 处理器使用诊断工具处理所述第一数字成像信息，以识别感兴趣的特征; 以及第二成像系统，用于使用第二成像模式获取第二成像信息，所述第二成像信息对应于包括用于分析的特征的第二感兴趣区域。

4. 发明申请

US20120203094A1 Mobile Architecture Using Cloud for Data Mining Application 失效
标题翻译：移动架构使用云进行数据挖掘应用
公开(公告)号：US20120203094A1
公开(公告)日：2012-08-09
申请号：US13449518
申请日：2012-04-18
申请人： Jasjit S. Suri
发明人： Jasjit S. Suri
IPC分类号： A61B5/055 , A61B8/00 , A61B6/00
CPC分类号： A61B5/0013 , A61B5/0022 , A61B5/02007 , A61B5/055 , A61B6/5217 , A61B8/5223 , G06F19/00 , G06F19/321 , G16H10/60 , G16H50/20 , G16H50/30 , G16H50/70
摘要： Three tier architecture for image-based diagnosis and monitoring application using Cloud is described. The presentation layer is run on the tablet (mobile device), while the business and persistence layer runs on a single cloud or distributed on different Clouds in a multi-tenancy and multi-user application. Such architecture is used for automated data mining application for computing (a) cardiovascular risk, stroke risk using IMT measurement, plaque characterization, (b) computing diagnostic index for benign vs. malignant tissue for ovarian cancer classification (c) benign vs. malignant tissue characterization for prostate cancer and (d) classification of fatty liver disease vs. normal cases. The Architecture is for data mining application.
摘要翻译：描述了使用云的基于图像的诊断和监控应用的三层架构。表现层在平板电脑（移动设备）上运行，而业务和持久层在多租户和多用户应用程序中运行在单个云上或分布在不同的云上。这种架构用于计算自动化数据挖掘应用（a）使用IMT测量，斑块表征的心血管风险，卒中风险，（b）用于卵巢癌分类的良性与恶性组织的计算诊断指标（c）良性与恶性组织表征前列腺癌和（d）脂肪肝疾病与正常情况的分类。架构用于数据挖掘应用。

5. 发明申请

US20120163693A1 Non-Invasive Imaging-Based Prostate Cancer Prediction 审中-公开
标题翻译：基于非侵入性成像的前列腺癌预测
公开(公告)号：US20120163693A1
公开(公告)日：2012-06-28
申请号：US13412118
申请日：2012-03-05
申请人： Jasjit S. Suri
发明人： Jasjit S. Suri
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/41 , G06T2207/10072 , G06T2207/10132 , G06T2207/20081 , G06T2207/30081
摘要： A system (UroImage™) is an imaging based system for predicting if the prostate is cancerous or not using non-invasive ultrasound. The method is an on-line system where region of interest processor computes the capsule region in the Urological image. The feature extraction processor finds the significant features such as non-linear higher order spectra and high pass filter discrete wavelet based features, and combines them. The on-line classifier processor uses along with the training-based parameters to estimate and predicate if the patient's prostate is cancerous or not. The UroImage™ also introduces the applicability of this system for MR, CT or fusion of these modalities with ultrasound for predicting cancer.
摘要翻译：系统（UroImage™）是一种基于成像的系统，用于使用非侵入性超声预测前列腺癌是否癌变。该方法是在线系统，其中感兴趣区域处理器计算泌尿图像中的胶囊区域。特征提取处理器发现诸如非线性高阶谱和基于离散小波的高通滤波特征的重要特征，并将其组合。在线分类器处理器与基于训练的参数一起使用，以估计和判断患者的前列腺是否癌变。 UroImage™还介绍了该系统对MR，CT或这些模式与超声波预测癌症融合的适用性。

6. 发明申请

US20120078099A1 Imaging Based Symptomatic Classification Using a Combination of Trace Transform, Fuzzy Technique and Multitude of Features 失效
标题翻译：使用跟踪变换，模糊技术和多种特征组合的基于成像的症状分类
公开(公告)号：US20120078099A1
公开(公告)日：2012-03-29
申请号：US13253952
申请日：2011-10-05
申请人： Jasjit S. Suri
发明人： Jasjit S. Suri
IPC分类号： A61B8/00
CPC分类号： A61B8/483 , A61B8/0891 , A61B8/12 , G01R33/5608
摘要： A statistical (a) Computer Aided Diagnostic (CAD) technique is described for symptomatic versus asymptomatic plaque automated classification of carotid ultrasound images and (b) presents a cardiovascular risk score computation. We demonstrate this for longitudinal Ultrasound, CT, MR modalities and extendable to 3D carotid Ultrasound. The on-line system consists of Atherosclerotic Wall Region estimation using AtheroEdge™ for longitudinal Ultrasound or Athero-CTView™ for CT or Athero-MRView from MR. This greyscale Wall Region is then fed to a feature extraction processor which uses the combination: (a) Higher Order Spectra; (b) Discrete Wavelet Transform (DWT); (c) Texture and (d) Wall Variability. Another combination uses: (a) Local Binary Pattern; (b) Law's Mask Energy and (c) Wall Variability. Another combination uses: (a) Trace Transform; (b) Fuzzy Grayscale Level Co-occurrence Matrix and (c) Wall Variability. The output of the Feature Processor is fed to the Classifier which is trained off-line.
摘要翻译：描述了用于颈动脉超声图像的症状与无症状斑块自动分类的统计学（a）计算机辅助诊断（CAD）技术，以及（b）呈现心血管风险评分计算。我们展示了纵向超声，CT，MR方式，并可扩展到三维颈动脉超声。在线系统由动脉粥样硬化壁区域估计，使用AtheroEdge™进行纵向超声波或用于CT的Athero-CTView™或来自MR的Athero-MRView。然后将这个灰度级的墙区域馈送到使用以下组合的特征提取处理器：（a）高阶光谱; （b）离散小波变换（DWT）; （c）纹理和（d）壁变化。另一种组合使用：（a）本地二进制模式; （b）法律面具能量和（c）墙面变异性。另一种组合使用：（a）轨迹变换; （b）模糊灰度等级共生矩阵和（c）墙壁变异性。特征处理器的输出被馈送到离线训练的分类器。

7. 发明申请

US20100172559A1 SYSTEM AND METHOD FOR PROSTATE BIOPSY 审中-公开
标题翻译：用于预测生物的系统和方法
公开(公告)号：US20100172559A1
公开(公告)日：2010-07-08
申请号：US12615862
申请日：2009-11-10
申请人： Dinesh Kumar , Jasjit S. Suri
发明人： Dinesh Kumar , Jasjit S. Suri
IPC分类号： G06K9/00
CPC分类号： A61B10/0241 , A61B34/20 , A61B2090/3782 , G06T7/33 , G06T2207/10072 , G06T2207/10132 , G06T2207/30056 , G06T2207/30068 , G06T2207/30081 , G06T2207/30084
摘要： The invention presents tools to improve a 3-D image aided biopsy or treatment procedure for prostate gland by providing additional functionality and additional visual cues on an output image of the prostate, which may be generated substantially in real-time. The tools include i) the identification of various parts of prostate to classify as per regular classification in pathological reports, ii) Computing and displaying the insertion depth of needle with respect to a selected target point during the procedure, iii) Computing and displaying the distance from needle tip to prostate surface following a procedure and, iv) Calibration for misalignment of a 2-D imaging transducer when used under tracked motion for a procedure.
摘要翻译：本发明提供了通过在前列腺的输出图像上提供附加功能和附加视觉提示来实质上实时地产生用于改善前列腺的3-D图像辅助活组织检查或治疗过程的工具。这些工具包括：i）根据病理报告中的常规分类对前列腺各部分进行鉴定，ii）在手术过程中计算和显示相对于选定目标点的针插入深度，iii）计算和显示距离根据程序从针尖到前列腺表面，以及iv）当在跟踪运动下用于程序时，对2-D成像换能器的未对准进行校准。

8. 发明申请

US20100111379A1 Method for breast screening in fused mammography 有权
标题翻译：融合乳房X线照相术中乳房筛查的方法
公开(公告)号：US20100111379A1
公开(公告)日：2010-05-06
申请号：US11632078
申请日：2005-07-07
申请人： Jasjit S. Suri , Yajie Sun
发明人： Jasjit S. Suri , Yajie Sun
IPC分类号： G06K9/00
CPC分类号： A61B6/5247 , A61B6/032 , A61B6/4417 , A61B6/502 , A61B6/52 , A61B6/5217 , A61B8/0825 , A61B8/4416 , A61B8/5238 , G06T7/0012 , G06T7/0081 , G06T7/0091 , G06T7/11 , G06T7/12 , G06T7/155 , G06T7/168 , G06T11/003 , G06T2207/10112 , G06T2207/10116 , G06T2207/10136 , G06T2207/20016 , G06T2207/20076 , G06T2207/20168 , G06T2207/30068 , G06T2207/30096
摘要： A method for use in medical imaging of a patient including, with the patient immobilized with respect to an imaging reference frame, acquiring first digital imaging information including a first region of interest using a first imaging modality; processing the first digital imaging information to identify a feature for analysis; and using a second imaging modality to acquire targeted second imaging information for a second region of interest, the second region of interest corresponding to a subset of the first region of interest, wherein the second region of interest includes the feature for analysis. An apparatus for use in medical imaging comprising structure for immobilizing a patient with respect to an imaging reference frame; a first imaging system for acquiring first digital imaging information including a first region of interest using a first imaging modality; a processor processing the first digital imaging information using a diagnostic tool to identify a feature of interest; and a second imaging system for acquiring second imaging information using a second imaging modality, the second imaging information corresponding to a second region of interest including the feature for analysis.
摘要翻译：一种用于患者的医学成像的方法，包括：相对于成像参考系被固定的患者，使用第一成像模态获取包括第一感兴趣区域的第一数字成像信息; 处理第一数字成像信息以识别用于分析的特征; 以及使用第二成像模式来获取第二感兴趣区域的目标第二成像信息，所述第二感兴趣区域对应于所述第一感兴趣区域的子集，其中所述第二感兴趣区域包括用于分析的特征。一种用于医学成像的装置，包括用于使患者相对于成像参考框架固定的结构; 第一成像系统，用于使用第一成像模态获取包括第一感兴趣区域的第一数字成像信息; 处理器使用诊断工具处理所述第一数字成像信息，以识别感兴趣的特征; 以及第二成像系统，用于使用第二成像模式获取第二成像信息，所述第二成像信息对应于包括用于分析的特征的第二感兴趣区域。

9. 发明申请

US20100016710A1 PROSTATE TREATMENT APPARATUS 审中-公开
标题翻译：前台处理装置
公开(公告)号：US20100016710A1
公开(公告)日：2010-01-21
申请号：US12501943
申请日：2009-07-13
申请人： Dinesh Kumar , Jasjit S. Suri
发明人： Dinesh Kumar , Jasjit S. Suri
IPC分类号： A61B5/05
CPC分类号： A61B5/055 , A61B8/0833 , A61B8/0841 , A61B8/12 , A61B8/483 , A61B8/5223 , A61B18/02 , A61B18/08 , A61B2018/00547 , A61B2018/00577 , A61B2034/2063 , A61B2090/3784 , A61N5/1001 , A61N2005/1012 , A61N2005/1058
摘要： The presented invention aims to address these and/or additional issues by providing a tracked grid for brachytherapy applications that can adjust to changes in the prostate between original image acquisition. The grid is allowed to be moved around and even rotated under tracked conditions, such that it can be maneuvered to align with any target region. A virtual 3-D grid is displayed on a computer with respect to the actual anatomy of the patient. The tracked grid can be moved relative to the virtual 3-D grid, such that the brachytherapy, cryo therapy or any other type of image guided therapy may be performed in real 3-D or even 4-D, when motion compensation is embedded during the procedure.
摘要翻译：所提出的发明旨在通过提供一种用于近距离放射治疗应用的跟踪网格来解决这些和/或另外的问题，其可以适应原始图像采集之前的前列腺的变化。允许网格被移动并且甚至在跟踪条件下旋转，使得其可以被操纵以与任何目标区域对齐。相对于患者的实际解剖结构，在计算机上显示虚拟3-D网格。跟踪的网格可以相对于虚拟3-D网格移动，使得当在3-D或甚至4-D中嵌入运动补偿时，近距离放射治疗，低温治疗或任何其他类型的图像引导治疗可以被执行步骤。

10. 发明申请

US20100004526A1 ABNORMALITY FINDING IN PROJECTION IMAGES 审中-公开
标题翻译：在投影图像中发现异常
公开(公告)号：US20100004526A1
公开(公告)日：2010-01-07
申请号：US12475995
申请日：2009-06-01
申请人： LIYANG WEI , JASJIT S. SURI
发明人： LIYANG WEI , JASJIT S. SURI
IPC分类号： A61B5/05 , G06K9/00
CPC分类号： C07D473/04
摘要： The present invention includes a utility for determining the severity of a stenosis in a blood vessel. In one aspect, a method for improving DSA image quality includes: (1) registration of the mask and bolus images prior to subtracting procedure to reduce the artifacts from misalignment; (2) enhancement of the registered DSA image by an anisotropic diffusion technique and a nonlinear normalization technique; and (3) detecting the boundary of blood vessel and quantitatively measuring percentage stenosis, which may be done automatically.
摘要翻译：本发明包括用于确定血管狭窄严重程度的实用程序。一方面，一种用于改善DSA图像质量的方法包括：（1）在减法之前对掩模和推注图像进行注册，以减少由于未对准产生的伪影; （2）通过各向异性扩散技术和非线性归一化技术增强注册的DSA图像; （3）检测血管边界，定量测定百分比狭窄，可自动进行。

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