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1. 发明授权

US09478022B2 Method and system for integrated radiological and pathological information for diagnosis, therapy selection, and monitoring 有权
标题翻译：用于诊断，治疗选择和监测的综合放射学和病理学信息的方法和系统
公开(公告)号：US09478022B2
公开(公告)日：2016-10-25
申请号：US14240534
申请日：2012-08-22
申请人： Ali Kamen , Leo Grady , Gianluca Paladini , Parmeshwar Khurd , Oliver Kutter , Dorin Comaniciu
发明人： Ali Kamen , Leo Grady , Gianluca Paladini , Parmeshwar Khurd , Oliver Kutter , Dorin Comaniciu
IPC分类号： G06K9/00 , G06T7/00 , A61B6/00 , A61B8/00 , G06F19/00 , A61B6/12 , A61B8/08 , A61B10/02
CPC分类号： G06T7/0012 , A61B6/12 , A61B6/463 , A61B6/467 , A61B8/0841 , A61B8/463 , A61B8/465 , A61B8/467 , A61B10/02 , G06F19/00 , G06F19/3481 , G06T2207/30004 , G16H50/20
摘要： A method and system for integrating radiological and pathological information for cancer diagnosis, therapy selection, and monitoring is disclosed. A radiological image of a patient, such as a magnetic resonance (MR), computed tomography (CT), positron emission tomography (PET), or ultrasound image, is received. A location corresponding to each of one or more biopsy samples is determined in the at least one radiological image. An integrated display is used to display a histological image corresponding to the each biopsy samples, the radiological image, and the location corresponding to each biopsy samples in the radiological image. Pathological information and radiological information are integrated by combining features extracted from the histological images and the features extracted from the corresponding locations in the radiological image for cancer grading, prognosis prediction, and therapy selection.
摘要翻译：公开了用于整合放射学和病理学信息用于癌症诊断，治疗选择和监测的方法和系统。接收患者的放射学图像，例如磁共振（MR），计算机断层摄影（CT），正电子发射断层摄影（PET）或超声图像。在至少一个放射图像中确定与一个或多个活检样本中的每一个对应的位置。使用集成显示器来显示对应于每个活检样本，放射图像和对应于放射图像中的每个活检样本的位置的组织学图像。通过组合图像提取的特征和从放射图像中相应位置提取的特征，进行癌症分级，预后预测和治疗选择，整合病理信息和放射学信息。

2. 发明授权

US08811701B2 Systems and method for automatic prostate localization in MR images using random walker segmentation initialized via boosted classifiers 有权
标题翻译：使用通过增强分类器初始化的随机步行器分割的MR图像中的自动前列腺定位的系统和方法
公开(公告)号：US08811701B2
公开(公告)日：2014-08-19
申请号：US13291615
申请日：2011-11-08
申请人： Parmeshwar Khurd , Leo Grady , Ali Kamen , Mamadou Diallo , Kalpitkumar Gajera , Peter Gall , Martin Requardt , Berthold Kiefer , Clifford R. Weiss
发明人： Parmeshwar Khurd , Leo Grady , Ali Kamen , Mamadou Diallo , Kalpitkumar Gajera , Peter Gall , Martin Requardt , Berthold Kiefer , Clifford R. Weiss
IPC分类号： G06K9/00 , G06K9/34
CPC分类号： G06K9/6226 , G06T7/11 , G06T7/143 , G06T7/194 , G06T2207/10088 , G06T2207/20081 , G06T2207/20156 , G06T2207/30081
摘要： Automatic prostate localization in T2-weighted MR images facilitate labor-intensive cancer imaging techniques. Methods and systems to accurately segment the prostate gland in MR images are provided and address large variations in prostate anatomy and disease, intensity inhomogeneities, and artifacts induced by endorectal coils. A center of the prostate is automatically detected with a boosted classifier trained on intensity based multi-level Gaussian Mixture Model Expectation Maximization (GMM-EM) segmentations of the raw MR images. A shape model is used in conjunction with Multi-Label Random Walker (MLRW) to constrain the seeding process within MLRW.
摘要翻译： T2加权MR图像中的自动前列腺定位有利于劳动密集型癌症成像技术。提供了准确分割MR图像前列腺的方法和系统，并解决了前列腺解剖和疾病，强度不均匀性以及直肠内线圈引起的假象的巨大变化。用基于强度的多级高斯混合模型预期最大化（GMM-EM）原始MR图像分段训练的增强分类器自动检测前列腺的中心。形状模型与多标签随机Walker（MLRW）结合使用，以限制MLRW内的播种过程。

3. 发明授权

US08983230B2 Global error minimization in image mosaicking using graph laplacians and its applications in microscopy 有权
标题翻译：使用图形拉普拉斯算子的图像拼接中的全局误差最小化及其在显微镜中的应用
公开(公告)号：US08983230B2
公开(公告)日：2015-03-17
申请号：US13810940
申请日：2011-07-25
申请人： Parmeshwar Khurd , Rafiou Oketokoun , Ali Kamen , Leo Grady , Hari Sundar , John V. Frangioni , Tejas Gajera
发明人： Parmeshwar Khurd , Rafiou Oketokoun , Ali Kamen , Leo Grady , Hari Sundar , John V. Frangioni , Tejas Gajera
IPC分类号： G06K9/36 , G06K9/32 , G06T11/60 , G06T3/00 , G06T3/40 , G06T7/00
CPC分类号： G06T11/60 , G06T3/0068 , G06T3/4038 , G06T7/32 , G06T2200/32 , G06T2207/10056 , G06T2207/30024
摘要： An image mosaicking method includes performing pairwise registration of a plurality of tiles (101), determining absolute homographies for each of the plurality of tiles according to the pairwise registration (102B), and performing a blending of the plurality of tiles to obtain a stitched image according to the absolute homographies (103).
摘要翻译：图像拼接方法包括执行多个瓦片（101）的配对注册，根据成对配准（102B）确定多个瓦片中的每一个的绝对同位素，并且执行多个瓦片的混合以获得缝合图像根据绝对同位素（103）。

4. 发明申请

US20130243352A1 Global Error Minimization In Image Mosaicking Using Graph Laplacians And Its Applications In Microscopy 有权
标题翻译：使用图形拉普拉斯算子的图像拼接中的全局误差最小化及其在显微镜中的应用
公开(公告)号：US20130243352A1
公开(公告)日：2013-09-19
申请号：US13810940
申请日：2011-07-25
申请人： Parmeshwar Khurd , Rafiou Oketokoun , Ali Kamen , Leo Grady , Hari Sundar , John V. Frangioni
发明人： Parmeshwar Khurd , Rafiou Oketokoun , Ali Kamen , Leo Grady , Hari Sundar , John V. Frangioni
IPC分类号： G06T11/60
CPC分类号： G06T11/60 , G06T3/0068 , G06T3/4038 , G06T7/32 , G06T2200/32 , G06T2207/10056 , G06T2207/30024
摘要： An image mosaicking method includes performing pairwise registration of a plurality of tiles (101), determining absolute homographies for each of the plurality of tiles according to the pairwise registration (102B), and performing a blending of the plurality of tiles to obtain a stitched image according to the absolute homographies (103)
摘要翻译：图像拼接方法包括执行多个瓦片（101）的配对注册，根据成对配准（102B）确定多个瓦片中的每一个的绝对同位素，并且执行多个瓦片的混合以获得缝合图像根据绝对同位素（103）

5. 发明申请

US20130064439A1 Systems and Method for Automatic Prostate Localization in MR Images Using Random Walker Segmentation Initialized Via Boosted Classifiers 有权
标题翻译：使用随机步行器分割的MR图像中自动前列腺定位的系统和方法通过增强分类器初始化
公开(公告)号：US20130064439A1
公开(公告)日：2013-03-14
申请号：US13291615
申请日：2011-11-08
申请人： Parmeshwar Khurd , Leo Grady , Ali Kamen , Mamadou Diallo , Kalpitkumar Gajera , Peter Gall , Martin Requardt , Berthold Kiefer , Clifford R. Weiss
发明人： Parmeshwar Khurd , Leo Grady , Ali Kamen , Mamadou Diallo , Kalpitkumar Gajera , Peter Gall , Martin Requardt , Berthold Kiefer , Clifford R. Weiss
IPC分类号： G06K9/34 , G06K9/62
CPC分类号： G06K9/6226 , G06T7/11 , G06T7/143 , G06T7/194 , G06T2207/10088 , G06T2207/20081 , G06T2207/20156 , G06T2207/30081
摘要： Automatic prostate localization in T2-weighted MR images facilitate labor-intensive cancer imaging techniques. Methods and systems to accurately segment the prostate gland in MR images are provided and address large variations in prostate anatomy and disease, intensity inhomogeneities, and artifacts induced by endorectal coils. A center of the prostate is automatically detected with a boosted classifier trained on intensity based multi-level Gaussian Mixture Model Expectation Maximization (GMM-EM) segmentations of the raw MR images. A shape model is used in conjunction with Multi-Label Random Walker (MLRW) to constrain the seeding process within MLRW.
摘要翻译： T2加权MR图像中的自动前列腺定位有利于劳动密集型癌症成像技术。提供了准确分割MR图像前列腺的方法和系统，并解决了前列腺解剖和疾病，强度不均匀性以及直肠内线圈引起的假象的巨大变化。用基于强度的多级高斯混合模型预期最大化（GMM-EM）原始MR图像分段训练的增强分类器自动检测前列腺的中心。形状模型与多标签随机Walker（MLRW）结合使用，以限制MLRW内的播种过程。

6. 发明申请

US20130272587A1 SYSTEM AND METHOD FOR INTERACTIVE SEGMENTATION ON MOBILE DEVICES IN A CLOUD COMPUTING ENVIRONMENT 审中-公开
标题翻译：云计算环境中移动设备交互分段的系统与方法
公开(公告)号：US20130272587A1
公开(公告)日：2013-10-17
申请号：US13816970
申请日：2011-08-22
申请人： Ruogu Fang , Leo Grady , Gianluca Paladini
发明人： Ruogu Fang , Leo Grady , Gianluca Paladini
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06F19/321 , G06T7/10 , H04N19/60 , H04N19/80 , H04N19/85
摘要： A mobile device (160) for medical image analysis is disclosed. The mobile device (160) includes a display (162), a communication module (218), a memory (204) configured to store processor-executable instructions (224) and a processor (202) in communication with the display (162), the communication module (218) and the memory (204). The processor (202) being configured to execute the processor-executable instructions (224) to implement a compression routine to generate a compressed representation of a medical image stored in the memory (204), transmit the compressed representation to a remote device (110) via the communication module (218), receive segmented results from the remote device (110), wherein the segmented results are derived from a reconstruction of the compressed representation generated at the remote device (110), and present, via the display (162), a segmented medical image based on the received segmented results.
摘要翻译：公开了一种用于医学图像分析的移动设备（160）。移动设备（160）包括显示器（162），通信模块（218），被配置为存储与显示器（162）通信的处理器可执行指令（224）和处理器（202）的存储器（204）通信模块（218）和存储器（204）。处理器（202）被配置为执行处理器可执行指令（224）以实现压缩例程以生成存储在存储器（204）中的医学图像的压缩表示，将压缩表示传送到远程设备（110）经由所述通信模块（218）接收来自所述远程设备（110）的分段结果，其中所述分段结果是从在所述远程设备（110）处生成的所述压缩表示的重建导出的，并且经由所述显示器（162）呈现，基于接收到的分段结果的分段医学图像。

7. 发明授权

US09918700B2 Tuning ultrasound acquisition parameters 有权
公开(公告)号：US09918700B2
公开(公告)日：2018-03-20
申请号：US13928763
申请日：2013-06-27
申请人： Noha Youssry El-Zehiry , Michelle xiaohong Yan , Sara Good , Leo Grady
发明人： Noha Youssry El-Zehiry , Michelle xiaohong Yan , Sara Good , Leo Grady
IPC分类号： G06F19/00 , A61B8/00 , A61B8/08
CPC分类号： A61B8/54 , A61B8/5223 , A61B8/585 , G06F19/00 , G06F19/321 , G16H30/20 , G16H40/63 , G16H50/20
摘要： Values for ultrasound acquisition parameters are altered in a manifold space. The number of parameters to be set is reduced using a manifold. Virtual parameters different than the acquisition parameters are used to alter the greater number of acquisition parameters. In a further use, optimum image settings may be obtained in an automated system by measuring image quality for feeding back to virtual parameter adjustment.

8. 发明授权

US09594141B2 System for accelerated magnetic resonance imaging using parallel coils 有权
标题翻译：使用平行线圈的加速磁共振成像系统
公开(公告)号：US09594141B2
公开(公告)日：2017-03-14
申请号：US13633908
申请日：2012-10-03
申请人： Daniel Weller , Leo Grady , Lawrence Wald , Vivek K Goyal
发明人： Daniel Weller , Leo Grady , Lawrence Wald , Vivek K Goyal
IPC分类号： G01R33/341 , G01R33/58 , G01R33/561
CPC分类号： G01R33/5611
摘要： An MR imaging system uses multiple RF coils for acquiring corresponding multiple image data sets of a slice or volume of patient anatomy. An image data processor comprises at least one processing device conditioned for, deriving a first set of weights for weighted combination of k-space data of the multiple image data sets for generating a calibration data set comprising a subset of k-space data of composite image data representing the multiple image data sets. The image data processor uses the calibration data set in generating a first MR image data set, deriving the parameters of a probability distribution in response to the first set of weights and the first MR image data set and deriving a second set of weights and second MR image data set together using the probability distribution.
摘要翻译： MR成像系统使用多个RF线圈来获取患者解剖结构的切片或体积的相应的多个图像数据集。图像数据处理器包括至少一个处理装置，该处理装置被调节为：为多个图像数据集的k空间数据的加权组合推导第一组加权，以产生包括合成图像的k空间数据子集的校准数据集表示多个图像数据集的数据。图像数据处理器使用校准数据集来生成第一MR图像数据集，响应于第一组权重和第一MR图像数据集导出概率分布的参数并导出第二组权重和第二MR 使用概率分布将图像数据集合在一起。

9. 发明授权

US08823374B2 System for accelerated MR image reconstruction 有权
标题翻译：用于加速MR图像重建的系统
公开(公告)号：US08823374B2
公开(公告)日：2014-09-02
申请号：US13326622
申请日：2011-12-15
申请人： Daniel Weller , Vivek K Goyal , Jonathan Rizzo Polimeni , Leo Grady
发明人： Daniel Weller , Vivek K Goyal , Jonathan Rizzo Polimeni , Leo Grady
IPC分类号： G01V3/00 , G01R33/561
CPC分类号： G01R33/5611
摘要： An MR imaging system uses the multiple RF coils for acquiring corresponding multiple image data sets of the slice. An image data processor comprises at least one processing device conditioned for, generating a composite MR image data set representing a single image in a single non-iterative operation by performing a weighted combination of luminance representative data of individual corresponding pixels of the multiple image data sets in providing an individual pixel luminance value of the composite MR image data set. The image data processor reduces noise in the composite MR image data set by generating a reduced set of significant components in a predetermined transform domain representation of data representing the composite image to provide a de-noised composite MR image data set. An image generator comprises at least one processing device conditioned for, generating a composite MR image using the de-noised composite MR image data set.
摘要翻译： MR成像系统使用多个RF线圈来获取切片的相应多个图像数据集。图像数据处理器包括至少一个处理装置，该处理装置被调节为：通过执行多个图像数据集合中各个对应像素的亮度代表数据的加权组合来生成在单个非迭代操作中表示单个图像的复合MR图像数据集提供复合MR图像数据集合的单独像素亮度值。图像数据处理器通过在表示合成图像的数据的预定变换域表示中生成缩减的重要分量集合来降低复合MR图像数据集中的噪声，以提供去噪复合MR图像数据集。图像生成器包括至少一个处理装置，该处理装置被调节为使用去噪合成MR图像数据集生成复合MR图像。

10. 发明申请

US20130207652A1 System for Accelerated Magnetic Resonance Imaging Using Parallel Coils 有权
标题翻译：使用平行线圈加速磁共振成像系统
公开(公告)号：US20130207652A1
公开(公告)日：2013-08-15
申请号：US13633908
申请日：2012-10-03
申请人： Daniel Weller , Leo Grady , Lawrence Wald , Vivek K. Goyal
发明人： Daniel Weller , Leo Grady , Lawrence Wald , Vivek K. Goyal
IPC分类号： G01R33/341 , G01R33/58
CPC分类号： G01R33/5611
摘要： An MR imaging system uses multiple RF coils for acquiring corresponding multiple image data sets of a slice or volume of patient anatomy. An image data processor comprises at least one processing device conditioned for, deriving a first set of weights for weighted combination of k-space data of the multiple image data sets for generating a calibration data set comprising a subset of k-space data of composite image data representing the multiple image data sets. The image data processor uses the calibration data set in generating a first MR image data set, deriving the parameters of a probability distribution in response to the first set of weights and the first MR image data set and deriving a second set of weights and second MR image data set together using the probability distribution.
摘要翻译： MR成像系统使用多个RF线圈来获取患者解剖结构的切片或体积的相应的多个图像数据集。图像数据处理器包括至少一个处理装置，该处理装置被调节为：为多个图像数据集的k空间数据的加权组合推导第一组加权，以产生包括合成图像的k空间数据子集的校准数据集表示多个图像数据集的数据。图像数据处理器使用校准数据集来生成第一MR图像数据集，响应于第一组权重和第一MR图像数据集导出概率分布的参数并导出第二组权重和第二MR 使用概率分布将图像数据集合在一起。

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