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公开(公告)号：US11980492B2
公开(公告)日：2024-05-14
申请号：US17520204
申请日：2021-11-05
发明人： Prem Venugopal , Cynthia Elizabeth Landberg Davis , Jed Douglas Pack , Jhimli Mitra , Soumya Ghose , Peter Michael Edic
CPC分类号： A61B6/504 , A61B6/032 , A61B6/037 , A61B6/507 , A61B6/5217 , A61B6/5241 , G06N3/08 , G06T7/11
摘要： A computer-implemented method includes generating, via a processor, synthetic vessels. The method also includes performing, via the processor, three-dimensional (3D) computational fluid dynamics (CFD) on the synthetic vessels for different flow rates to generate 3D CFD data. The method further includes extracting, via the processor, 3D image patches from the synthetic vessels. The method even further includes obtaining, via the processor, pressure drops across the 3D image patches from the 3D CFD data. The method yet further includes training, via the processor, a deep neural network utilizing the 3D image patches, the pressure drops, and associated flow rates to generate a trained deep neural network.
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公开(公告)号：US20230317293A1
公开(公告)日：2023-10-05
申请号：US17710326
申请日：2022-03-31
发明人： Sanghee Cho , Zhanpan Zhang , Soumya Ghose , Fiona Ginty , Cynthia Elizabeth Landberg Davis , Jhimli Mitra , Sunil S. Badve , Yesim Gokmen-Polar
CPC分类号： G16H50/30 , G16H30/00 , G06T7/0014 , G06N3/0454 , G06T2207/30068
摘要： A method for determining a recurrence of a disease in a patient is presented. The method includes generating a plurality of medical images of an organ of the patient and determining a plurality of recurrence probabilities from the plurality of medical images. A recurrence of the disease is determined based on the plurality of recurrence probabilities and clinicopathological data of the patient using a Bayesian network.
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公开(公告)号：US12125217B2
公开(公告)日：2024-10-22
申请号：US17520254
申请日：2021-11-05
发明人： Prem Venugopal , Cynthia Elizabeth Landberg Davis , Jed Douglas Pack , Jhimli Mitra , Soumya Ghose
CPC分类号： G06T7/248 , G06T7/10 , G16H30/20 , G06T2207/30104
摘要： A computer-implemented method includes obtaining, via a processor, segmented image patches of a vessel along a coronary tree path and associated coronary flow distribution for respective vessel segments in the segmented image patches. The method also includes determining, via the processor, a pressure drop distribution along an axial length of the vessel from the segmented image patches and the associated coronary flow distribution. The method further includes determining, via the processor, critical points in the pressure drop distribution. The method even further includes detecting, via the processor, a presence of a stenosis based on the critical points in the pressure drop distribution.
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公开(公告)号：US20240260919A1
公开(公告)日：2024-08-08
申请号：US18636614
申请日：2024-04-16
发明人： Prem Venugopal , Cynthia Elizabeth Landberg Davis , Jed Douglas Pack , Jhimli Mitra , Soumya Ghose , Peter Michael Edic
CPC分类号： A61B6/504 , A61B6/032 , A61B6/037 , A61B6/507 , A61B6/5217 , A61B6/5241 , G06N3/08 , G06T7/11
摘要： A computer-implemented method includes obtaining, via a processor, clinical images including vessels and generating, via the processor, straightened-out images for each coronary tree path within respective clinical images, The method also includes extracting, via the processor, segmented 3D image patches, determining, via the processor, overlapping binary mask volumes for each segment, and predicting, via the processor, pressure drops across the segmented image patches using a trained deep neural network.
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公开(公告)号：US20230309836A1
公开(公告)日：2023-10-05
申请号：US17981913
申请日：2022-11-07
发明人： Souyma Ghose , Zhanpan Zhang , Sanghee Cho , Fiona Ginty , Cynthia Elizabeth Landberg Davis , Jhimli Mitra , Sunil S. Badve , Yesim Gokmen-Polar , Elizabeth Mary McDonough
CPC分类号： A61B5/0091 , A61B5/004 , A61B5/4312 , A61B5/7275 , A61B5/742 , G06K9/6223 , G06V2201/032 , G16H50/20 , A61B2576/02 , G06T2207/10116 , G06T2207/30068 , G06T2207/30096 , G06T7/0012
摘要： A method for determining a recurrence of a disease in a patient is presented. The method includes generating a plurality of medical images of an organ of the patient and determining a plurality of recurrence probabilities from the plurality of medical images. A recurrence of the disease is determined based on the plurality of recurrence probabilities and clinicopathological data of the patient using a Bayesian network.
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公开(公告)号：US20230307137A1
公开(公告)日：2023-09-28
申请号：US17704531
申请日：2022-03-25
发明人： Soumya Ghose , Fiona Ginty , Cynthia Elizabeth Landberg Davis , Sanghee Cho , Sunil S. Badve , Yesim Gokmen-Polar
CPC分类号： G16H50/30 , G16H30/40 , G06T7/0012 , G06V10/26 , G06T2207/30096
摘要： A method for determining a recurrence of a disease in a patient includes generating a medical image of an organ of the patient and then extracting an invasive edge around an area of interest in the medical image. A plurality of radiomics features is obtained from the invasive edge and the recurrence of the disease is determined based on the plurality of radiomics features.
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公开(公告)号：US11692951B2
公开(公告)日：2023-07-04
申请号：US17183498
申请日：2021-02-24
IPC分类号： G01N23/044 , A61B6/04
CPC分类号： G01N23/044 , A61B6/0414
摘要： An intraoperative specimen imaging system is provided. The intraoperative specimen imaging system includes a mammography imaging system configured to acquire imaging data. The intraoperative specimen imaging system also includes a specimen holding system configured to hold a tissue sample, wherein the specimen holding system is retrofittedly coupled to the mammography imaging system, wherein the intraoperative specimen imaging system is configured to acquire imaging data for generating three-dimensional (3D) images of the tissue sample.
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公开(公告)号：US20230144624A1
公开(公告)日：2023-05-11
申请号：US17520254
申请日：2021-11-05
发明人： Prem Venugopal , Cynthia Elizabeth Landberg Davis , Jed Douglas Pack , Jhimli Mitra , Soumya Ghose
CPC分类号： G06T7/248 , G06T7/10 , G16H30/20 , G06T2207/30104
摘要： A computer-implemented method includes obtaining, via a processor, segmented image patches of a vessel along a coronary tree path and associated coronary flow distribution for respective vessel segments in the segmented image patches. The method also includes determining, via the processor, a pressure drop distribution along an axial length of the vessel from the segmented image patches and the associated coronary flow distribution. The method further includes determining, via the processor, critical points in the pressure drop distribution. The method even further includes detecting, via the processor, a presence of a stenosis based on the critical points in the pressure drop distribution.
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公开(公告)号：US20230142152A1
公开(公告)日：2023-05-11
申请号：US17520204
申请日：2021-11-05
发明人： Prem Venugopal , Cynthia Elizabeth Landberg Davis , Jed Douglas Pack , Jhimli Mitra , Soumya Ghose , Peter Michael Edic
CPC分类号： A61B6/5241 , G06N3/08 , G06T7/11 , A61B6/504 , A61B6/507
摘要： A computer-implemented method includes generating, via a processor, synthetic vessels. The method also includes performing, via the processor, three-dimensional (3D) computational fluid dynamics (CFD) on the synthetic vessels for different flow rates to generate 3D CFD data. The method further includes extracting, via the processor, 3D image patches from the synthetic vessels. The method even further includes obtaining, via the processor, pressure drops across the 3D image patches from the 3D CFD data. The method yet further includes training, via the processor, a deep neural network utilizing the 3D image patches, the pressure drops, and associated flow rates to generate a trained deep neural network.
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公开(公告)号：US20220265229A1
公开(公告)日：2022-08-25
申请号：US17183498
申请日：2021-02-24
摘要： An intraoperative specimen imaging system is provided. The intraoperative specimen imaging system includes a mammography imaging system configured to acquire imaging data. The intraoperative specimen imaging system also includes a specimen holding system configured to hold a tissue sample, wherein the specimen holding system is retrofittedly coupled to the mammography imaging system, wherein the intraoperative specimen imaging system is configured to acquire imaging data for generating three-dimensional (3D) images of the tissue sample.
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