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51.
公开(公告)号:US20190066301A1
公开(公告)日:2019-02-28
申请号:US16110076
申请日:2018-08-23
Applicant: Siemens Healthcare GmbH
Inventor: Rene KARTMANN
Abstract: A method for segmentation of an organ structure of an examination object in medical image data, a processing unit, a medical imaging device and a computer program product are disclosed. In an embodiment, the method, for segmentation of an organ structure of an examination object in medical image data, includes acquiring genetic data of an examination object, characterizing a morphological variation of an organ structure; acquiring medical image data from the examination object; segmenting the organ structure in the medical image data using a segmentation algorithm, wherein the genetic data is entered into the segmentation algorithm in addition to the medical image data, as input parameters, and wherein the segmentation algorithm takes account of morphological variation of the organ structure during the segmenting of the organ structure, to proce a segmented organ structure; and provisioning the segmented organ structure.
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公开(公告)号:US10134163B2
公开(公告)日:2018-11-20
申请号:US15297006
申请日:2016-10-18
Applicant: Autodesk, Inc.
IPC: G06K9/00 , G06T11/60 , G06T7/13 , G06T3/40 , G06T7/90 , G06T7/155 , G06T5/20 , G06T7/168 , G06T5/00 , H04N5/232
Abstract: A method, apparatus, and system provide the ability to detect an object framework in an image. A frame (of an image) is obtained. The image is pre-processed to smooth the image. Edges in the image are detected and an edge map is generated. Straight lines are detected from the detected edges in the edge map. One or more quadrangles are assembled from the detected straight lines. The quadrangles are sorted. One of the one or more quadrangles are selected based on the sorting. A selected quadrangle is returned to the user.
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公开(公告)号:US20180260601A1
公开(公告)日:2018-09-13
申请号:US15762590
申请日:2016-09-26
Applicant: UMAJIN LIMITED
Inventor: David BREBNER , Richard ROUNTREE
CPC classification number: G06K9/00006 , G06F3/011 , G06F3/017 , G06T1/20 , G06T7/13 , G06T7/136 , G06T7/155 , G06T2207/10028 , G06T2207/20132 , H04N5/33 , H04N13/204
Abstract: A computer implemented method of fingertip centroid identification in real-time, implemented on a computer system comprising a processor, memory, and a camera system. The processor receives image data from the camera system; runs a first kernel comprising a set of concentric closed shapes over image data to identify an occupancy pattern in which internal closed shapes are at least nearly fully occupied, and in which a subsequent closed shape has at least a relatively low occupancy level, so as to identify one or more fingertips in the image data; for each identified fingertip, runs a second kernel over the identified one or more fingertips to establish a best fit closed shape which covers each identified fingertip; calculates a centroid for each best fit closed shape which corresponds to an identified fingertip; and stores in the memory the calculated centroids for the identified one or more fingertips.
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54.
公开(公告)号:US20180247413A1
公开(公告)日:2018-08-30
申请号:US15758352
申请日:2016-09-08
Inventor: Alexey NOVIKOV , David MAJOR , Maria WIMMER , Katja BUEHLER
CPC classification number: G06T7/11 , G06T7/0012 , G06T7/12 , G06T7/143 , G06T7/155 , G06T2207/20076 , G06T2207/20081 , G06T2207/20116 , G06T2207/30004 , G06T2207/30012 , G06T2207/30101
Abstract: A method, and an according apparatus and system, for segmentation of anatomical structures in medical images includes segmenting an anatomical structure represented in a medical image by applying an algorithm based on a morphological active contour without edges (MACWE) to the medical image, wherein in the algorithm based on the morphological active contour without edges one or more features relating to a surrounding and/or context of the anatomical structure represented in the medical image are considered.
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55.
公开(公告)号:US20180225821A1
公开(公告)日:2018-08-09
申请号:US15843708
申请日:2017-12-15
Applicant: Wake Forest University Health Sciences
Inventor: Youngkyoo Jung
Abstract: Methods, systems, computer programs, circuits and workstations are configured to generate at least one two-dimensional weighted CBF territory map of color-coded source artery locations using an automated vascular segmentation process to identify source locations using mutual connectivity in both image and label space.
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公开(公告)号:US20180182100A1
公开(公告)日:2018-06-28
申请号:US15850405
申请日:2017-12-21
Applicant: Bio-Rad Laboratories, Inc.
Inventor: Clayton T. McKee , Michael Griffin
CPC classification number: G06T7/0014 , G01N21/5911 , G01N21/6456 , G01N21/76 , G01N27/447 , G01N27/44721 , G01N33/54393 , G01N33/582 , G06T5/001 , G06T5/30 , G06T5/50 , G06T7/155 , G06T7/194 , G06T2207/10056 , G06T2207/10064 , G06T2207/20036 , G06T2207/20224 , G06T2207/30024
Abstract: Systems and methods for producing blot images. A blot, for example a western blot, is imaged using an imaging system having a field of view and a magnification. Features of interest in the blot correspond to features in the digital image, and the sizes of the features in the digital image depend on the magnification of the imaging system. A structuring element is selected based on the sizes and shapes of the features in the digital image, and the image is morphologically eroded and dilated varying numbers of times. The eroded and dilated image is subtracted from the original blot image to remove background signal from the blot image, producing an output image. The number of erosions needed to completely erode the features of interest is determined automatically, for example by investigating the behavior of the kurtosis of the output image as a function of the number of erosions performed.
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公开(公告)号:US09928587B2
公开(公告)日:2018-03-27
申请号:US15010597
申请日:2016-01-29
Applicant: BioArray Solutions, Ltd.
Inventor: Michael Seul , Xiongwu Xia , Chiu Chau , Scott Determan
CPC classification number: G06T7/0012 , G01N33/566 , G06K9/00 , G06K9/00147 , G06K2209/07 , G06T7/11 , G06T7/155 , G06T7/33 , G06T2207/10064 , G06T2207/20152 , G06T2207/30072
Abstract: Systems and methods are provided the autocentering, autofocusing, acquiring, decoding, aligning, analyzing and exchanging among various parties, images, where the images are of arrays of signals associated with ligand-receptor interactions, and more particularly, ligand-receptor interactions where a multitude of receptors are associated with microparticles or microbeads. The beads are encoded to indicate the identity of the receptor attached, and therefore, an assay image and decoding image are aligned to effect the decoding. The images or data extracted from such images can be exchanged between de-centralized assay locations and a centralized location where the data are analyzed to indicate assay results. Access to data can be restricted to authorized parties in possession of certain encoding information, so as to preserve confidentiality.
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58.
公开(公告)号:US09922424B2
公开(公告)日:2018-03-20
申请号:US14727157
申请日:2015-06-01
Applicant: The Cleveland Clinic Foundation
Inventor: Vikash R. Goel , Donald P. Greenberg , Roy K. Greenberg
CPC classification number: G06T7/13 , G06T7/155 , G06T7/37 , G06T7/60 , G06T17/30 , G06T2207/10072 , G06T2207/20041 , G06T2207/20044 , G06T2207/20048 , G06T2207/30021 , G06T2207/30028 , G06T2207/30101 , G06T2207/30172 , G06T2210/41 , G06T2211/404
Abstract: A computer implemented method for determining a centerline of a three-dimensional tubular structure is described. The method includes providing an edge-detected data set of voxels that characterize a boundary of the tubular structure according to a three-dimensional voxel data set for the tubular structure. A gradient field of a distance transformation is computed for the edge-detected dataset. A voxel data set corresponding to a centerline of the tubular structure is computed according to derivative of gradient field.
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59.
公开(公告)号:US09639927B2
公开(公告)日:2017-05-02
申请号:US14288642
申请日:2014-05-28
Applicant: OLYMPUS CORPORATION
Inventor: Yamato Kanda , Makoto Kitamura , Takashi Kono , Masashi Hirota
IPC: G06K9/00 , G06T7/00 , G02B23/24 , A61B1/00 , G06K9/46 , A61B1/04 , G06T7/11 , G06T7/143 , G06T7/155 , G06T7/90 , G06T7/136
CPC classification number: G06T7/0012 , A61B1/00009 , A61B1/0002 , A61B1/041 , G02B23/2484 , G06K9/0014 , G06K9/00147 , G06K9/4604 , G06K9/4652 , G06T7/11 , G06T7/136 , G06T7/143 , G06T7/155 , G06T7/90 , G06T2207/10024 , G06T2207/10068 , G06T2207/20041 , G06T2207/20076 , G06T2207/20152 , G06T2207/30028 , G06T2207/30096
Abstract: An image processing apparatus includes an abnormal portion candidate region detection unit configured to detect a candidate region of an abnormal portion based on color information of each pixel constituting an image obtained by capturing an image of an inside of a lumen of a subject, a border neighboring pixel identifying unit configured to identify a border neighboring pixel which is a pixel existing in proximity to a border of the candidate region, a feature data calculation unit configured to calculate feature data based on a pixel value of the border neighboring pixel, and an abnormal portion region distinguishing unit configured to distinguish an abnormal portion region based on the feature data.
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公开(公告)号:US20250044096A1
公开(公告)日:2025-02-06
申请号:US18531770
申请日:2023-12-07
Applicant: NORTH UNIVERSITY OF CHINA
Inventor: Jun LIU , Xindong WU , Chong SHEN , Huiliang CAO , Jun TANG , Chenguang WANG
Abstract: It discloses an atmospheric polarized light orientation method using a solar azimuth region, provides an angle of polarization (AOP) vision-modulated model in a pixel frame, and gives an orientation strategy utilizing the solar azimuth region; a horizontal attitude angle is introduced into the AOP in the pixel frame, and orientation is implemented by utilizing a separation point and a principal point of photograph; specifically, a seed line extraction algorithm is given to update the solar azimuth in real time, a morphological expression and an AOP expression of the solar azimuth are fused for an optimum estimation to the solar azimuth, and ultimately the orientation is achieved by using an external sensor such as an inertial navigation system to input the horizontal attitude angle.
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