-
公开(公告)号：US20240095907A1
公开(公告)日：2024-03-21
申请号：US17948726
申请日：2022-09-20
发明人： Zhang Chen , Shanhui Sun , Xiao Chen , Yikang Liu , Terrence Chen
CPC分类号： G06T7/0012 , G16H30/40 , G16H50/20 , G06T2207/10112 , G06T2207/20081 , G06T2207/20084 , G06T2207/30068
摘要： Mammography data such as DBT and/or FFDM images may be processed using deep learning based techniques, but labeled training data that may facilitate the learning may be difficult to obtained. Described herein are systems, methods, and instrumentalities associated with automatically generating and/or augmenting labeled mammography training data, and training a deep learn model based on the auto-generated/augmented data for detecting a breast disease (e.g., breast cancer) in a mammography image.
-
公开(公告)号：US20230410264A1
公开(公告)日：2023-12-21
申请号：US18033882
申请日：2021-10-26
CPC分类号： G06T5/005 , G06T5/50 , G06T2207/10081 , G06T2207/10112 , G06T2207/30004
摘要： The present invention relates to a method and a cone beam computed tomography apparatus for reducing artefacts in an image acquired with the cone beam computed tomography apparatus using a second pass artefact reduction method. Projection data of an object are acquired, wherein the projection data comprises a first subset of data to be used for reconstruction of a first image, and a second subset of data comprising projection data not to be used for the construction of the first image, wherein the second subset of data comprises projection data not comprised in the first subset of data. A first and a second image are reconstructed using the first and the second subset of data, respectively. A second pass artefact reduction method is performed using the second image as input image of the second pass artefact reduction method, thereby reducing artefacts in the first image.
-
公开(公告)号：US20230351600A1
公开(公告)日：2023-11-02
申请号：US18245149
申请日：2021-08-26
申请人： HOLOGIC, INC.
发明人： Zhenxue JING , Shawn ST. PIERRE
IPC分类号： G06T7/00
CPC分类号： G06T7/0016 , G06T2200/24 , G06T2207/10112 , G06T2207/10116 , G06T2207/20081 , G06T2207/30068 , G06T2207/30096
摘要： Methods and systems for identifying a region of interest in breast tissue use artificial intelligence to confirm that a target lesion identified during initial imaging the breast tissue has been identified in a subsequent imaging session. A computing system operating a lesion matching engine uses a machine learning classifier algorithm trained on cases of initial and subsequent two-dimensional or three-dimensional images of lesions. The lesion matching engine analyzes a target lesion identified with initial and a potential lesion identified with current imaging to determine a likelihood that the target lesion is the same as the potential lesion. A confidence level indicator for the lesion match is presented on a display of a computing device to aid a healthcare provider in locating a lesion in breast tissue.
-
公开(公告)号：US11790618B1
公开(公告)日：2023-10-17
申请号：US17744715
申请日：2022-05-15
申请人： Robert Edwin Douglas
发明人： Robert Edwin Douglas
CPC分类号： G06T19/006 , A61B6/025 , A61B6/502 , A61B6/5211 , A61B90/39 , G02B27/017 , G06T7/0014 , G06T11/60 , G06T15/08 , A61B2090/3904 , G06T2207/10112 , G06T2207/10124 , G06T2207/20036 , G06T2207/30068
摘要： A method for immersively displaying a scanned environment of a region to a set of users in a training environment wearing augmented reality head display units. The training environment includes a pseudo-GPS system, which allows position tracking over time. This enables rehearsing military operations before they occur.
-
公开(公告)号：US20230230339A1
公开(公告)日：2023-07-20
申请号：US18148650
申请日：2022-12-30
申请人： FUJIFILM Corporation
发明人： Yusuke MACHII
CPC分类号： G06V10/255 , G06V10/273 , G06V10/25 , G06T7/0014 , A61B6/025 , A61B6/502 , G06T2207/10112 , G06V2201/03 , G06T2207/30068
摘要： An image processing apparatus includes at least one processor. The processor is configured to execute calcification image detection processing of detecting a calcification image based on a plurality of tomographic images obtained from a series of a plurality of projection images obtained by tomosynthesis imaging of a breast, region-of-interest image group generation processing of generating a region-of-interest image group by cutting out, as a region-of-interest image, a region including the calcification image detected by the calcification image detection processing from each of the plurality of projection images, variance value calculation processing of calculating a variance value of feature amounts of each of the region-of-interest images included in the region-of-interest image group, and shape type determination processing of determining a type of a shape of the calcification image based on the variance value calculated by the variance value calculation processing.
-
6.发明公开公开(公告)号：US20230215060A1
公开(公告)日：2023-07-06
申请号：US18115665
申请日：2023-02-28
申请人： PME IP PTY LTD
发明人： MALTE WESTERHOFF , DETLEV STALLING
CPC分类号： G06T11/008 , G06T7/0014 , G06T2211/436 , G06T2207/10112 , G06T2211/412 , G06T2207/30068
摘要： Digital Breast Tomosynthesis allows for the acquisition of volumetric mammography images. The present invention allows for novel ways of viewing such images to detect microcalcifications and obstructions. In an embodiment a method for displaying volumetric images comprises computing a projection image using a viewing direction, displaying the projection image and then varying the projection image by varying the viewing direction. The viewing direction can be varied based on a periodic continuous mathematical function. A graphics processing unit can be used to compute the projection image and bricking can be used to accelerate the computation of the projection images.
-
7.发明申请公开(公告)号：US20190130562A1
公开(公告)日：2019-05-02
申请号：US15996719
申请日：2018-06-04
发明人： Siqi Liu , Daguang Xu , Shaohua Kevin Zhou , Thomas Mertelmeier , Julia Wicklein , Anna Jerebko , Sasa Grbic , Olivier Pauly , Dorin Comaniciu
CPC分类号： G06T7/0012 , G06K9/00201 , G06K9/4628 , G06K9/6232 , G06K9/6273 , G06K9/6277 , G06N3/04 , G06T11/60 , G06T2207/10112 , G06T2207/20081 , G06T2207/20084 , G06T2207/30068 , G16H30/20
摘要： A computer-implemented method for identifying features in 3D image volumes includes dividing a 3D volume into a plurality of 2D slices and applying a pre-trained 2D multi-channel global convolutional network (MC-GCN) to the plurality of 2D slices until convergence. Following convergence of the 2D MC-GCN, a plurality of parameters are extracted from a first feature encoder network in the 2D MC-GCN. The plurality of parameters are transferred to a second feature encoder network in a 3D Anisotropic Hybrid Network (AH-Net). The 3D AH-Net is applied to the 3D volume to yield a probability map;. Then, using the probability map, one or more of (a) coordinates of the objects with non-maximum suppression or (b) a label map of objects of interest in the 3D volume are generated.
-
公开(公告)号：US20190087947A1
公开(公告)日：2019-03-21
申请号：US16110723
申请日：2018-08-23
发明人： Gaurav Tripathi , Mayur Betharia
CPC分类号： G06T5/006 , A61B6/585 , G06T7/62 , G06T2207/10112 , G06T2207/10116
摘要： A method and system are provided for obtaining a true shape of objects in a medical image. The method includes receiving X-ray stand geometry parameter values, an Anglepoint, and an Anglestand values; selecting a plurality of pixels representing an object in the X-ray image; and determining magnification of each pixel in the X-ray image, that enables accurate determination of size and shape of imaged objects. The method may include determining an actual size of the object in the X-ray image and selectively reshaping the object in the X-ray image to obtain a true shape of the object.
-
公开(公告)号：US20180182134A1
公开(公告)日：2018-06-28
申请号：US15618432
申请日：2017-06-09
发明人： FAN-PIN TSENG , CHIA-YU LIN
IPC分类号： G06T11/00
CPC分类号： G06T11/008 , G06T11/006 , G06T2207/10112 , G06T2207/10141
摘要： A reduction method for a boundary artifact on the tomosynthesis includes steps of performing a projection process, performing a back projection process upon the geometric factor matrix so as to obtain a back-projection geometric factor matrix, and adjusting a boundary area of the back-projection geometric factor matrix.
-
公开(公告)号：US20180158228A1
公开(公告)日：2018-06-07
申请号：US15821727
申请日：2017-11-22
申请人： ScreenPoint Medical
CPC分类号： G06T15/08 , A61B6/025 , A61B6/463 , A61B6/466 , A61B8/0825 , A61B8/467 , G06K9/6201 , G06T7/0012 , G06T7/0014 , G06T7/0016 , G06T7/73 , G06T19/003 , G06T2200/24 , G06T2207/10112 , G06T2207/20076 , G06T2207/30068 , G06T2207/30096 , G06T2207/30204 , G06T2210/41
摘要： The invention relates to a displaying system for displaying digital breast tomosynthesis (DBT) data. First and second DBT volume images of the left breast of a woman and first and second DBT volume images of the right breast of the woman are provided by an image providing unit. Moreover, for each DBT volume image a two-dimensional navigation image is provided by a navigation image providing unit, wherein a user is allowed to indicate a location in the navigation image by using a user interface, whereafter a CAD marker associated with the location is determined in a DBT volume image of a breast and a corresponding CAD marker, if present, is determined in another DBT volume image of the breast. Slices of these DBT volume images, which are associated with the CAD markers, are presented on a display.
-
-
-
-
-
-
-
-
-
搜索结果
185 条记录 (耗时 0.02 秒)
