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1. 发明申请

WO2019104221A1 SYSTEM METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR DETERMINING BREAST CANCER RESPONSE USING A CONVOLUTIONAL NEURAL NETWORK 审中-公开
公开(公告)号：WO2019104221A1
公开(公告)日：2019-05-31
申请号：PCT/US2018/062319
申请日：2018-11-21
申请人： THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
发明人： HA, Richard
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132 , G06T2207/30068
摘要： An exemplary system, method and computer-accessible medium for determining a breast cancer response(s) for a patient(s) can include, for example, receiving an image(s) of an internal portion(s) of a breast of the patient(s), and determining the breast cancer response(s) by applying a neural network(s) to the image(s). The breast cancer response(s) can be a response to at least one chemotherapy treatment. The breast cancer response(s) can include an Oncotype DX recurrence score. The breast cancer response(s) can be a neoadjuvant axillary response. The image(s) can be a magnetic resonance image(s) (MRI). The MRI(s) can include a dynamic contrast enhanced MRI(s).

2. 发明申请

WO2019104217A1 SYSTEM METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR CLASSIFYING BREAST TISSUE USING A CONVOLUTIONAL NEURAL NETWORK 审中-公开
公开(公告)号：WO2019104217A1
公开(公告)日：2019-05-31
申请号：PCT/US2018/062314
申请日：2018-11-21
申请人： THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK
发明人： HA, Richard
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T2207/10088 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132 , G06T2207/30068
摘要： An exemplary system, method and computer-accessible medium for classifying a breast tissue(s) a patient(s) can include, for example, receiving an image(s) of an internal portion(s) of a breast of the patient(s), and automatically classifying the breast tissue(s) of the breast by applying a neural network(s) to the image(s). The automatic classification can include a classification as to whether the breast tissue(s) is atypical ductal hyperplasia or ductal carcinoma. The automatic classification can include a classification as to whether the breast tissue(s) is a cancerous tissue or a non-cancerous tissue. The image(s) can be a mammographic image or an optical coherence tomography image.

3. 发明申请

WO2017184201A1 METHODS FOR THERMAL BREAST CANCER DETECTION 审中-公开
标题翻译：热乳腺癌检测方法
公开(公告)号：WO2017184201A1
公开(公告)日：2017-10-26
申请号：PCT/US2016/059880
申请日：2016-11-01
申请人： ENTROPIA LLC
发明人： DANICIC, Aleksandar
IPC分类号： A61B5/00 , G06T7/00 , H04N5/33 , A61B5/01
CPC分类号： A61B5/015 , A61B5/0091 , G06T7/00 , G06T7/0016 , G06T2207/10048 , G06T2207/30068 , G06T2207/30096
摘要： The present invention relates to methods for providing a low-cost, non-invasive, high-fidelity breast cancer screening and early detection. The said includes a process by which breasts are prepared for thermal imaging by cooling the breast surface. Next, digital images are captured using an infrared thermal imaging camera. Digital image processing allows for identification of suspicious vascular activity. The probability of detection of similar size tumors, or equivalently tumors which are smaller and/or buried deeper under breast surface, is further increased by of applying inverse thermal conduction algorithms to digital images. Thermal infrared images are taken over time to build temporal statistics, which further increase the probability of correct early detection of smaller and deeper breast tumors.
摘要翻译：本发明涉及用于提供低成本，非侵入性，高保真度乳腺癌筛查和早期检测的方法。所述说明包括通过冷却乳房表面来准备用于热成像的乳房的过程。接下来，使用红外热成像相机捕获数字图像。数字图像处理允许识别可疑的血管活动。通过将反向热传导算法应用于数字图像，进一步增加了检测相似大小的肿瘤或者等效地更小和/或更深地埋藏在乳房表面之下的肿瘤的可能性。随着时间的推移拍摄热红外图像以建立时间统计，这进一步增加了对更小和更深的乳房肿瘤的正确早期检测的可能性。

4. 发明申请

WO2017162664A1 APPARATUS FOR DETECTING DEFORMATION OF A BODY PART 审中-公开
标题翻译：用于检测身体部位变形的装置
公开(公告)号：WO2017162664A1
公开(公告)日：2017-09-28
申请号：PCT/EP2017/056686
申请日：2017-03-21
申请人： KONINKLIJKE PHILIPS N.V.
发明人： KUTRA, Dominik, Benjamin , BUELOW, Thomas
IPC分类号： A61B5/055 , G06T7/00 , G06T7/149 , G01R33/20
CPC分类号： A61B5/055 , G01R33/5608 , G06T7/0016 , G06T2200/04 , G06T2207/10088 , G06T2207/30068 , G06T2207/30076
摘要： The present invention relates to an apparatus for detecting deformation of a body part. It is described to provide (210) a magnetic resonance image of a patient's body part, the magnetic resonance image of the body part comprising structural information of the body part, wherein the structural information comprises large scale structural information. A model of the body part is provided (220), the model of the body part comprising structural information of the body part, wherein the structural information comprises large scale structural information. At least one transformation is applied (230) to the model of the body part and/or to the magnetic resonance image of the body part, wherein the at least one transformation comprises transformation on the basis of at least some of the large scale structural information. A fit is determined (240) between the model of the body part and the magnetic resonance image of the body part comprising application of the at least one transformation. A deviation is determined (250) between the model of the body part and the magnetic resonance image of the body part on the basis of the structural information in the magnetic resonance image and the structural information in the model of the body part. Information relating to the deviation is provided (260).
摘要翻译：本发明涉及用于检测身体部位的变形的设备。描述了提供（210）患者身体部位的磁共振图像，身体部位的磁共振图像包括身体部位的结构信息，其中结构信息包括大规模结构信息。提供身体部位的模型（220），身体部位的模型包括身体部位的结构信息，其中结构信息包括大型结构信息。对主体部分的模型和/或主体部分的磁共振图像应用（230）至少一个变换，其中至少一个变换包括基于至少一些大规模结构信息的变换。确定身体部位的模型与身体部位的磁共振图像之间的拟合（240），包括施加所述至少一个变换。基于磁共振图像中的结构信息和身体部位模型中的结构信息，在身体部位的模型和身体部位的磁共振图像之间确定偏差（250）。提供与偏差有关的信息（260）。

5. 发明申请

WO2017145125A1 A SOFTWARE TOOL FOR BREAST CANCER SCREENING 审中-公开
标题翻译：一种用于乳腺癌筛查的软件工具
公开(公告)号：WO2017145125A1
公开(公告)日：2017-08-31
申请号：PCT/IB2017/051109
申请日：2017-02-25
申请人： NIRAMAI HEALTH ANALYTIX PVT. LTD.
发明人： SIVAKUMAR, Gayatri , SHARMA, Shubhi , J.MADHU, Himanshu , PARTHASARATHY, Arun Koushik , VENKATARAMANI, Krithika , KAKILETI, Siva Teja
IPC分类号： A61B5/01 , G06T7/40
CPC分类号： G06T7/0014 , G06F19/00 , G06F19/321 , G06T2207/10048 , G06T2207/20092 , G06T2207/30068 , G06T2207/30096 , G16H30/20 , G16H50/20
摘要： What is disclosed is a software tool which enables medical practitioners to manually or automatically analyze a thermal image of an area of breast tissue for the presence of tumorous tissue. In one embodiment, the software interface tool disclosed herein comprises a patient details object which enables the display of a patient details screen wherein a user can enter/edit patient information. A thermal analysis object enables a user to analyze a displayed thermal image of a breast of a patient for breast cancer screening and to classify tissue identified in the thermal image as being tumorous. A modalities object concludes the patient evaluation, persists all data collected from other sections of the tool, and generates reports for documentation purposes. The information can be captured from a database and edited and analyzed further using the tool. Also, report containing all the relevant data is generated for doctor's reference.
摘要翻译：公开了一种软件工具，其使得医师能够手动或自动分析乳房组织区域的热图像以检测肿瘤组织的存在。在一个实施例中，这里公开的软件接口工具包括患者详细信息对象，其使得能够显示患者详情屏幕，其中用户可以输入/编辑患者信息。热分析对象使用户能够分析显示的患者乳房的热图像以进行乳腺癌筛查并将热图像中识别的组织分类为肿瘤。模态对象总结了患者评估，坚持从工具的其他部分收集的所有数据，并生成用于文档目的的报告。信息可以从数据库中捕获，并使用该工具进一步编辑和分析。此外，还会生成包含所有相关数据的报告供医生参考。

6. 发明申请

WO2017139367A1 SYSTEM AND METHOD FOR THE VISUALIZATION AND CHARACTERIZATION OF OBJECTS IN IMAGES 审中-公开
标题翻译：用于图像中对象的可视化和表征的系统和方法
公开(公告)号：WO2017139367A1
公开(公告)日：2017-08-17
申请号：PCT/US2017/016999
申请日：2017-02-08
申请人： IMAGO SYSTEMS, INC.
发明人： RAMSAY, Thomas, E. , RAMSAY, Eugene, B.
IPC分类号： A61B6/00 , G06K9/00 , G06K9/36
CPC分类号： H04N1/465 , A61B5/4312 , A61B6/502 , A61B6/5217 , A61B8/0825 , A61B8/5223 , A61B2503/40 , G06K9/4652 , G06K9/4671 , G06K2209/05 , G06T7/0012 , G06T7/11 , G06T7/174 , G06T7/48 , G06T11/001 , G06T2207/10116 , G06T2207/30016 , G06T2207/30056 , G06T2207/30061 , G06T2207/30068 , G06T2207/30081 , G06T2207/30084 , G06T2207/30096 , H04N1/6027
摘要： A method of visualization, characterization, and detection of objects within an image by applying a local micro-contrast convergence algorithm to a first image to produce a second image that is different from the first image, wherein all like objects converge into similar patterns or colors in the second image.
摘要翻译：通过将局部微对比度收敛算法应用于第一图像以产生不同于第一图像的第二图像来可视化，表征和检测图像内的对象的方法，其中所有类似的物体在第二幅图像中会聚成相似的图案或颜色。

7. 发明申请

WO2017114473A1 METHODS AND SYSTEMS FOR IMAGE PROCESSING 审中-公开
标题翻译：用于图像处理的方法和系统
公开(公告)号：WO2017114473A1
公开(公告)日：2017-07-06
申请号：PCT/CN2016/113079
申请日：2016-12-29
申请人： SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
发明人： ZHANG, Na , ZHOU, Haihua , YANG, Le , CHEN, Hao , TENG, Wanli , BIAN, Yueyan , JIANG, Chunhua , YAN, Jing
IPC分类号： G06T5/00
CPC分类号： G06T7/11 , G06T5/002 , G06T5/007 , G06T5/10 , G06T5/50 , G06T7/12 , G06T11/005 , G06T2207/20012 , G06T2207/20064 , G06T2207/30004 , G06T2207/30068 , G06T2211/424
摘要： Methods and systems for image processing are provided. A target image may be acquired, wherein the target image may include a plurality of elements, an element of which may correspond to a pixel or a voxel. The target image may be decomposed into at least one layer, wherein the at least one layer may include a low frequency sub-image and a high frequency sub-image. The at least one layer may be transformed. The transformed layer may be reconstructed into a composite image.
摘要翻译：提供了用于图像处理的方法和系统。可以采集目标图像，其中目标图像可以包括多个元素，其元素可以对应于像素或体素。目标图像可以被分解成至少一个层，其中至少一个层可以包括低频子图像和高频子图像。该至少一个层可以被转换。变换后的图层可以重建为合成图像。

8. 发明申请

WO2017075176A1 METHODS AND SYSTEMS FOR PERFORMING TISSUE CLASSIFICATION USING MULTI-CHANNEL TR-LIFS AND MULTIVARIATE ANALYSIS 审中-公开
标题翻译：使用多通道TR-LIFS和多变量分析进行组织分类的方法和系统
公开(公告)号：WO2017075176A1
公开(公告)日：2017-05-04
申请号：PCT/US2016/059054
申请日：2016-10-27
申请人： CEDARS-SINAI MEDICAL CENTER
发明人： BLACK, Keith L. , BAKER, Michael , JONES, Howland , BUTTE, Pramod
IPC分类号： G01N21/64 , A61B5/00 , G01J3/02 , G01J3/28 , G01J3/44
CPC分类号： A61B5/0071 , A61B5/00 , A61B5/0075 , A61B5/0091 , A61B5/08 , A61B5/4064 , A61B5/4255 , A61B5/441 , A61B5/7267 , A61B10/02 , A61B2017/00057 , A61B2576/026 , G01N21/6402 , G01N21/6408 , G01N2201/06113 , G01N2201/129 , G06K9/6267 , G06T7/0012 , G06T2207/10064 , G06T2207/30016 , G06T2207/30028 , G06T2207/30061 , G06T2207/30068 , G06T2207/30088
摘要： Described herein are methods and systems for analyzing a sample by applying time resolved laser induced fluorescence spectroscopy to the sample to measure lifetime time decay profile data relating to the sample, and applying multivariate analysis to process the data so as to classify a sample as, for example, normal or abnormal. The sample may be cells, fluid or tissue from any organ. The sample may be in vitro or in vivo . The data may be obtained in situ or in vitro .
摘要翻译：本文描述了用于通过将时间分辨激光诱导荧光光谱应用于样品以测量与样品有关的寿命时间衰减分布数据并且应用多变量分析来处理数据来分析样品的方法和系统以将样品分类为例如正常或异常。样品可以是来自任何器官的细胞，液体或组织。样品可以是体外或体内。数据可以在原位或体外。

9. 发明申请

WO2016177903A1 BEAM HARDENING CORRECTION FOR SCANNING DARK FIELD AND PHASE CONTRAST IMAGING 审中-公开
标题翻译：光束硬化校正用于扫描暗场和相位对比成像
公开(公告)号：WO2016177903A1
公开(公告)日：2016-11-10
申请号：PCT/EP2016/060238
申请日：2016-05-06
申请人： KONINKLIJKE PHILIPS N.V.
发明人： KOEHLER, Thomas , DAERR, Heiner , ROESSL, Ewald
IPC分类号： G06T11/00
CPC分类号： G06T7/0012 , A61B6/502 , G06T11/005 , G06T2207/10081 , G06T2207/30068
摘要： An apparatus and related method for processing image data supplied by a scanning phase contrast or dark-field imaging apparatus (MA). Beam hardening artifact in phase contrast and dark-field imaging can be reduced by applying a beam hardening processing operation by a beam hardening processing module (BHC) in respect of a plurality of detector readings that contribute signals to the same image pixel position or geometric ray of an imaging region of the apparatus (MA). In one embodiment, a phantom body (PB) is used to acquire calibration data on which the beam hardening processing is based.
摘要翻译：一种用于处理由扫描相位对比或暗场成像装置（MA）提供的图像数据的装置和相关方法。通过对多个检测器读数施加光束硬化处理模块（BHC）的光束硬化处理操作，可以减少相位对比和暗场成像中的光束硬化伪影，这些检测器读数对相同的图像像素位置或几何射线的装置（MA）的成像区域。在一个实施例中，使用体模（PB）获取光束硬化处理所基于的校准数据。

10. 发明申请

WO2016086995A1 APPLIANCE FOR DETECTING CANCEROUS OR NONCANCEROUS LUMPS IN TISSUES OF LIVING BEINGS, IN PARTICULAR A LUMP IN A MAMMA 审中-公开
标题翻译：用于检测生活物品组织中的粪便或非腐蚀性血液的器具，特别是乳腺瘤
公开(公告)号：WO2016086995A1
公开(公告)日：2016-06-09
申请号：PCT/EP2014/076541
申请日：2014-12-04
申请人： SIEMENS HEALTHCARE GMBH
发明人： KAELBLING, Michael
IPC分类号： A61B5/00 , G06T7/40
CPC分类号： A61B5/0064 , A61B5/0077 , A61B5/0091 , A61B5/442 , A61B5/444 , G06T7/0012 , G06T7/40 , G06T2207/30068
摘要： In order to design an appliance for detecting cancerous or noncancerous lumps in tissues of living beings, in particular a lump in a mamma, which increases coverage and acceptance of accurate breast examinations, it is proposed to combine techniques and technologies of "Polynomial Texture Mapping (PTM)"-Analysis and automated surface image capture with the approach of surface displacement, pattern analysis, and wave propagation through differentiated physical media.
摘要翻译：为了设计用于检测生物组织中的癌性或非癌性肿块的装置，特别是乳房肿块，其增加了准确乳房检查的覆盖率和接受度，提出了将“多项式纹理映射（ PTM）“ - 通过表面位移，图案分析和通过差异物理介质的波传播的方法进行分析和自动化表面图像捕获。

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