专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

WO2019149711A1 IMAGE QUALITY IMPROVED VIRTUAL NON-CONTRAST IMAGES GENERATED BY A SPECTRAL COMPUTED TOMOGRAPHY (CT) SCANNER 审中-公开
公开(公告)号：WO2019149711A1
公开(公告)日：2019-08-08
申请号：PCT/EP2019/052157
申请日：2019-01-30
申请人： KONINKLIJKE PHILIPS N.V.
发明人： DANG, Hao , XU, Shiyu , BAI, Chuanyong , WANG, Hui , MCKNIGHT, Douglas, B.
IPC分类号： G06T5/00 , G06T11/00
CPC分类号： G06T11/008 , G06T5/009 , G06T2207/10081 , G06T2207/20084
摘要： A spectral computed tomography imaging system (102) includes a radiation source (112) configured to emit x-ray radiation and a detector array (114) configured to detect x-ray radiation and generate spectral data. The spectral imaging system further includes a memory (134) configured to store a virtual non-contrast image enhancing module (136) that includes computer executable instructions including a neural network trained to produce image quality enhanced virtual non-contrast images. The neural network is trained with training spectral data and training non-contrast-enhanced images generated from a non- contrast-enhanced scan. The spectral imaging system further includes a processor (132) configured to process the spectral data with the trained neural network to produce the image quality enhanced virtual non-contrast images.

2. 发明申请

WO2019121103A2 METHOD AND APPARATUS FOR MEDICAL IMAGING 审中-公开
公开(公告)号：WO2019121103A2
公开(公告)日：2019-06-27
申请号：PCT/EP2018/084165
申请日：2018-12-10
申请人： MIRADA MEDICAL LIMITED , GOODING, Mark John , PERESSUTTI, Devis , ALJABAR, Paul
发明人： GOODING, Mark John , PERESSUTTI, Devis , ALJABAR, Paul
CPC分类号： G06T7/12 , G06T2207/10081 , G06T2207/10088 , G06T2207/10132 , G06T2207/20081 , G06T2207/20128 , G06T2207/30004
摘要： A method (900) of generating an atlas for a universal atlas database (901) is provided. A new medical scan image (905) is provided. A universal auto-contouring operation (920) is performed on the medical scan image, to generate a set of universal contours (930) for the medical scan image. A local auto-contouring customisation operation (940) is performed on the medical scan image, to generate a set of local contours (950) for the medical scan image. The set of local contours is standardised (980) using a trained model to compensate for biases in the set of local contours, thereby creating a set of standardised global contours (985) for the medical scan image. The set of standardised global contours (985) and the medical scan image (905) can be added to the universal atlas database (901) as a new atlas, thereby expanding the set of atlases that are available in the universal atlas database.

3. 发明申请

WO2018085788A1 METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR SMART IMAGE PROTOCOLING 审中-公开
标题翻译：用于智能图像协议的方法，系统和计算机可读介质
公开(公告)号：WO2018085788A1
公开(公告)日：2018-05-11
申请号：PCT/US2017/060236
申请日：2017-11-06
申请人： THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL OFFICE OF COMMERCIALIZATION AND ECONOMIC DEVELOPMENT
发明人： LIN, Weili , SHEN, Dinggang , SMITH, Jeffrey Keith
IPC分类号： G06T1/00 , G06K9/46 , A61B5/055
CPC分类号： G16H30/40 , G06F16/583 , G06N20/00 , G06T7/0012 , G06T2207/10016 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/20081 , G16H40/63 , G16H50/70
摘要： A method for smart image protocoling includes, using a medical imaging device, obtaining, using a first medical imaging sequence, a first set of medical images of a patient. Anatomical and, if present, disease features are extracted from the first set of medical images. A machine learning trained algorithm is used to determine, in real time, and based on the extracted anatomical and/or disease features, whether a desired medical imaging goal is achieved for the patient. In response to determining that the desired medical imaging goal is achieved, at least one image from the first set of medical images is output as a final image. In response to determining that the desired medical imaging goal has not been achieved, the machine learning trained algorithm is used to select a second medical imaging sequence. A second set of medical images of the patient is obtained using the second medical imaging sequence. The above outlined procedures will be repeated until the final imaging goal is achieved for a patient.
摘要翻译：用于智能图像协议的方法包括使用医学成像设备使用第一医学成像序列获得患者的第一组医学图像。从第一组医学图像中提取解剖学和（如果存在的话）疾病特征。机器学习训练算法用于实时确定并且基于提取的解剖和/或疾病特征来确定是否为患者实现期望的医学成像目标。响应于确定达到期望的医学成像目标，来自第一组医学图像的至少一个图像被输出为最终图像。响应于确定尚未实现期望的医学成像目标，使用机器学习训练的算法来选择第二医学成像序列。使用第二医学成像序列获得患者的第二组医学图像。上述程序将重复进行，直到病人达到最终的成像目标为止。

4. 发明申请

WO2017218040A1 METHOD AND SYSTEM FOR 3D CEPHALOMETRIC ANALYSIS 审中-公开
标题翻译：用于三维头颅测量分析的方法和系统
公开(公告)号：WO2017218040A1
公开(公告)日：2017-12-21
申请号：PCT/US2016/067150
申请日：2016-12-16
申请人： CARESTREAM HEALTH, INC.
发明人： INGLESE, Jean-Marc , CHEN, Shoupu , RAY, Lawrence, A. , TREIL, Jacques , FAURE, Jacques
IPC分类号： A61B6/03 , A61B6/14 , A61B6/00 , A61C7/00
CPC分类号： A61B6/032 , A61B6/14 , A61B6/4085 , A61B6/4441 , A61B6/463 , A61B6/465 , A61B6/466 , A61B6/467 , A61B6/501 , A61B6/5217 , A61B6/5223 , A61B6/5247 , A61C7/002 , G06T7/0014 , G06T2207/10016 , G06T2207/10081 , G06T2207/30036 , G16H50/50
摘要： Method and/or apparatus embodiments for 3-D cephalometric analysis of a patient, acquires reconstructed volume image data from a computed tomographic scan of a patient' s head including one or more dentition elements within the mouth of the patient, and computes one or more cephalometric parameters for the patient according to the reconstructed volume image data and the one or more dentition elements. One or more results generated from cephalometric analysis of the one or more computed cephalometric parameters can be stored, transmitted or displayed. The reconstructed volume image data is updated with 3D surface model from a subsequent optical scan of the patient's dentition and the one or more cephalometric parameters for the patient are re¬ computed based on the updated reconstructed volume image data.
摘要翻译：用于患者的3-D头影测量分析的方法和/或装置实施例从患者头部的计算机断层扫描获取重建的体积图像数据，所述重建的体积图像数据包括口腔内的一个或多个牙列元件并根据重建体积图像数据和一个或多个牙列元件计算患者的一个或多个头部测量参数。由一个或多个计算的头部测量参数的头影测量分析产生的一个或多个结果可以被存储，传输或显示。重建的体积图像数据利用来自患者牙列的随后光学扫描的3D表面模型来更新，并且针对患者的一个或多个头部测量参数被重新编码，根据更新的重建体积图像数据计算。

5. 发明申请

WO2017211225A1 一种基于实时反馈的增强现实人体定位导航方法及装置审中-公开
公开(公告)号：WO2017211225A1
公开(公告)日：2017-12-14
申请号：PCT/CN2017/086892
申请日：2017-06-01
申请人：叶健 , 高寒 , 邱凌凌
发明人：叶健 , 高寒 , 邱凌凌 , 万里
IPC分类号： G06T17/00
CPC分类号： G06T19/006 , G06T7/33 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/30016 , G06T2210/41
摘要：一种基于实时反馈的增强现实人体定位导航方法及装置，包括：根据目标对象的医学图像数据、医学数据库系统和/或用户指令，得到目标对象的第一三维重建图像，根据AR设备采集到的目标对象的特征点信息和第一三维重建图像生成图像变换参数，根据图像变换参数调整第一三维重建图像得到第二三维重建图像并实时显示到AR设备。上述方法可实现在AR设备显示三维重建图像且显示的三维重建图像是根据采集到的目标对象的特征点信息而进行实时调整，使得AR设备上的三维重建图像与用户透过AR设备观看到的的目标对象之间吻合，从而使医生在术中极大提高了手术的准确性和效率。

6. 发明申请

WO2017190968A1 DEVICE AND METHOD FOR DENOISING A VECTOR-VALUED IMAGE 审中-公开
标题翻译：用于消除向量值图像的装置和方法
公开(公告)号：WO2017190968A1
公开(公告)日：2017-11-09
申请号：PCT/EP2017/059582
申请日：2017-04-24
申请人： KONINKLIJKE PHILIPS N.V.
发明人： BERGNER, Frank , BRENDEL, Bernhard Johannes , KOEHLER, Thomas
IPC分类号： G06T5/00 , G06T11/00
CPC分类号： G06T5/002 , G06F17/16 , G06T11/008 , G06T2207/10072 , G06T2207/10081 , G06T2211/408 , G06T2211/424
摘要： The present invention relates to a device (100) for denoising a vector-valued image, the device (100) comprising: a generator (10), which is configured to generate an initial loss function (L_I) comprising at least one initial covariance matrix (ICM) defining a model of correlated noise for each pixel of the vector-valued image; a processor (20), which is configured to provide a final loss function (L_F) comprising a set of at least one final covariance matrix (FCM) based on the initial loss function by modifying at least one submatrix and/or at least one matrix element of the initial covariance matrix (ICM); and a noise-suppressor (30), which is configured to denoise the vector-valued image using the final loss function (L_F) comprising the set of the at least one final covariance matrix (FCM).
摘要翻译：本发明涉及一种用于对矢量值图像进行去噪的设备（100），该设备（100）包括：发生器（10），其被配置为生成初始损失函数（L_I ）包括至少一个初始协方差矩阵（ICM），所述初始协方差矩阵定义所述矢量值图像的每个像素的相关噪声模型; 处理器（20），其被配置为通过修改至少一个子矩阵和/或至少一个矩阵来基于初始损失函数提供包括一组至少一个最终协方差矩阵（FCM）的最终损失函数（L_F）初始协方差矩阵（ICM）的元素; 和噪声抑制器（30），其被配置为使用包括所述至少一个最终协方差矩阵（FCM）的集合的最终损失函数（L_F）来去除矢量值图像。

7. 发明申请

WO2017126772A1 TOMOGRAPHY APPARATUS AND METHOD FOR RECONSTRUCTING TOMOGRAPHY IMAGE THEREOF 审中-公开
标题翻译：用于重建其层析图像的层析摄影装置和方法
公开(公告)号：WO2017126772A1
公开(公告)日：2017-07-27
申请号：PCT/KR2016/010876
申请日：2016-09-29
申请人： SAMSUNG ELECTRONICS CO., LTD.
发明人： CHOI, Ki-hwan , HAN, Seok-min , YOO, Sang-wook , YI, Jong-hyon
IPC分类号： A61B6/00 , A61B6/03
CPC分类号： G06T11/003 , A61B6/032 , A61B6/5205 , A61B2576/00 , G06T7/0012 , G06T2207/10081
摘要： A tomography method for generating a computed tomography (CT) image, including generating a first tomography image based on first raw data corresponding to a received X-ray comprising acquired photons; determining second raw data by generating a second tomography image having an increased resolution in comparison with the first tomography image and performing forward projection on the second tomography image; determining third raw data based on a first parameter, the first raw data, and the second raw data; and generating a third tomography image based on the third raw data, wherein the determining of the third raw data may be based on information about a distribution of the acquired photons, the information being included in at least one from among the first raw data and the second raw data.
摘要翻译：用于生成计算机断层摄影（CT）图像的断层摄影方法，包括：基于与接收到的包括获取的光子的X射线对应的第一原始数据生成第一断层摄影图像; 通过生成与第一断层图像相比具有增加的分辨率的第二断层图像并且对第二断层图像执行前向投影来确定第二原始数据; 基于第一参数，第一原始数据和第二原始数据确定第三原始数据; 以及基于所述第三原始数据生成第三断层图像，其中所述第三原始数据的确定可以基于关于所述获取的光子的分布的信息，所述信息被包括在所述第一原始数据和所述第二原始数据中的至少一个中，第二个原始数据。

8. 发明申请

WO2017092615A1 一种计算机辅助诊断系统及方法审中-公开
公开(公告)号：WO2017092615A1
公开(公告)日：2017-06-08
申请号：PCT/CN2016/107278
申请日：2016-11-25
申请人：上海联影医疗科技有限公司
发明人：王季勇 , 陈香君
IPC分类号： G06T7/00
CPC分类号： G06T7/11 , G06K9/6221 , G06K9/6256 , G06K9/627 , G06K2209/053 , G06T7/00 , G06T7/0012 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10116 , G06T2207/10132 , G06T2207/20081 , G06T2207/20221
摘要：一种分类器训练方法。该方法可以包括：获取原始图像（412）；基于两种或两种以上分割模型对所述原始图像进行分割，获得候选目标（418）；对所述候选目标进行特征提取，得到特征全集（424）；对所述特征全集进行特征选择，得到参考特征子集（426）；以及根据所述参考特征子集进行分类器训练，得到分类器（428）。

9. 发明申请

WO2017091507A1 METHODS AND SYSTEMS FOR STOCHASTIC GROWTH ASSESSMENT 审中-公开
标题翻译：用于随机生长评估的方法和系统
公开(公告)号：WO2017091507A1
公开(公告)日：2017-06-01
申请号：PCT/US2016/063111
申请日：2016-11-21
申请人： FOVIA, INC.
发明人： KREEGER, Kevin
IPC分类号： G06T15/00 , G06T7/00 , G06T17/00
CPC分类号： G06T7/0012 , G06T7/0016 , G06T7/254 , G06T7/277 , G06T2207/10028 , G06T2207/10081 , G06T2207/20076 , G06T2207/30064
摘要： Methods and systems related to variation assessment of a first 3D object are provided. In some embodiments, a computer system obtains a first dataset and a second dataset. The first dataset represents data associated with a first evaluation of the first 3D object and the second dataset represents data associated with a second evaluation of the first 3D object. The computer system determines a first metric based on the first dataset and a second metric based on the second dataset. The first and second metrics represent distributions of probabilities with respect to values associated with the characteristic of the first 3D object at the first and second evaluations, respectively. The computer system further provides, based on the first metric and the second metric, an assessment of the first 3D object variation between the first evaluation and the second evaluation.
摘要翻译：提供了与第一3D对象的变化评估有关的方法和系统。在一些实施例中，计算机系统获得第一数据集和第二数据集。第一数据集表示与第一3D对象的第一评估相关联的数据，并且第二数据集表示与第一3D对象的第二评估相关联的数据。计算机系统基于第一数据集确定第一度量，并基于第二数据集确定第二度量。第一和第二度量分别表示关于与在第一和第二评估处的第一3D对象的特性相关联的值的概率的分布。计算机系统还基于第一度量和第二度量提供第一评估和第二评估之间的第一3D对象变化的评估。

10. 发明申请

WO2017067127A1 SYSTEM AND METHOD FOR IMAGE REGISTRATION IN MEDICAL IMAGING SYSTEM 审中-公开
标题翻译：用于医学成像系统中的图像配准的系统和方法
公开(公告)号：WO2017067127A1
公开(公告)日：2017-04-27
申请号：PCT/CN2016/076358
申请日：2016-03-15
申请人： SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
发明人： YAN, Jichao , LI, Qiang
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/0016 , G06T7/11 , G06T7/337 , G06T7/97 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10116 , G06T2207/30096
摘要： The present disclosure relates to a system and method for image registration and image subtraction. The technique includes perform acquiring data related to the image processing, performing a pre-processing of the images, performing an image registration, performing an image subtraction, performing a post-processing of the images and managing storage of the data.
摘要翻译：本公开涉及用于图像配准和图像相减的系统和方法。该技术包括执行获取与图像处理有关的数据，执行图像的预处理，执行图像配准，执行图像相减，执行图像的后处理以及管理数据的存储。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式