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公开(公告)号：US11037659B2
公开(公告)日：2021-06-15
申请号：US15134472
申请日：2016-04-21
摘要： A framework for visualization based on healthcare guidelines is described herein. In accordance with one aspect, a decision graph is generated based on healthcare guidelines. The nodes of the decision graph are populated with patient records. The framework may perform data analytics on patient records associated with at least one of the nodes to generate results, and further generate a visualization of the results.
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公开(公告)号：US20180218516A1
公开(公告)日：2018-08-02
申请号：US15877485
申请日：2018-01-23
摘要： A framework for coarse orientation detection in image data. In accordance with one aspect, the framework trains a learning structure to recognize a coarse orientation of the anatomical structure of interest based on training images. The framework may then pass one or more current images through the trained learning structure to generate a coarse orientation of the anatomical structure of interest. The framework then outputs the generated coarse orientation of the anatomical structure of interest.
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公开(公告)号：US10803354B2
公开(公告)日：2020-10-13
申请号：US16258751
申请日：2019-01-28
发明人： Yu Zhao , Yimo Gao , Shu Liao , Liang Zhao , Zhennan Yan , Yiqiang Zhan , Xiang Sean Zhou
摘要： A framework for cross-modality image synthesis. A first and second model may be trained using respective first and second pairs of complementary images and corresponding first and second ground truth images that represent first and second views of a region of interest. The first and second pairs of complementary images may be acquired by a first modality and the first and second ground truth images may be acquired by a second modality. A combinational network may further be trained to combine features from the first and second models. At least one synthetic second modality image may then be generated by passing current images through the trained first or second model and the combinational network, wherein the current images are acquired by the first modality and represent the first or second view of the region of interest.
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公开(公告)号：US20210158531A1
公开(公告)日：2021-05-27
申请号：US17163893
申请日：2021-02-01
发明人： Luca Bogoni , Marcos Salganicoff , Matthias Wolf , Shu Liao , Yiqiang Zhan , Gerardo Hermosillo Valadez , Xiang Sean Zhou , Zhigang Peng
IPC分类号： G06T7/11 , G06T7/00 , G16H15/00 , A61B5/00 , G16H50/20 , G16H10/60 , A61B5/055 , A61B5/107 , G16H30/40
摘要： A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.
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公开(公告)号：US20190019287A1
公开(公告)日：2019-01-17
申请号：US16016776
申请日：2018-06-25
发明人： Fitsum Aklilu Reda , Yiqiang Zhan , Parmeet Singh Bhatia , Yoshihisa Shinagawa , Luca Bogoni , Xiang Sean Zhou
CPC分类号： G06T7/0012 , G01B21/20 , G06K9/4628 , G06K9/627 , G06K2209/051 , G06N20/00 , G06T7/12 , G06T7/60 , G06T7/62 , G06T7/66 , G06T2200/24 , G06T2207/10081 , G06T2207/20081 , G06T2207/20084 , G06T2207/30048 , G06T2207/30101 , G06T2207/30172
摘要： A framework for automated measurement. In accordance with one aspect, the framework detects a centerline point of a structure of interest in an image. A centerline of the structure of interest may be traced based on the detected centerline point. A trained segmentation learning structure may be used to generate one or more contours of the structure of interest along the centerline. One or more measurements may then be extracted from the one or more contours.
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公开(公告)号：US11037070B2
公开(公告)日：2021-06-15
申请号：US15134543
申请日：2016-04-21
摘要： A framework diagnostic test planning is described herein. In accordance with one aspect, the framework receives data representing one or more sample patients, diagnostic tests administered to the one or more sample patients, diagnostic test results and confirmed medical conditions associated with the administered diagnostic tests. The framework trains one or more classifiers based on the data to identify diagnostic test plans from the diagnostic tests. The one or more classifiers may then be applied to current patient data to generate a diagnostic test plan for a given patient.
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公开(公告)号：US10580159B2
公开(公告)日：2020-03-03
申请号：US15877485
申请日：2018-01-23
摘要： A framework for coarse orientation detection in image data. In accordance with one aspect, the framework trains a learning structure to recognize a coarse orientation of the anatomical structure of interest based on training images. The framework may then pass one or more current images through the trained learning structure to generate a coarse orientation of the anatomical structure of interest. The framework then outputs the generated coarse orientation of the anatomical structure of interest.
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公开(公告)号：US10460508B2
公开(公告)日：2019-10-29
申请号：US14735243
申请日：2015-06-10
发明人： Yiqiang Zhan , Gerardo Hermosillo-Valadez , Xiang Sean Zhou , Matthias Fenchel , Berthold Kiefer
摘要： A framework for facilitating visualization, including localizing at least one anatomical structure of interest in image data. The structure of interest is then highlighted by reformatting the image data by mapping landmarks associated with the structure of interest to corresponding points along a contour of a geometric shape and warping the image data based on the mapped landmarks. The resulting reformatted image data is rendered for display to a user.
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公开(公告)号：US20190311228A1
公开(公告)日：2019-10-10
申请号：US16258751
申请日：2019-01-28
发明人： Yu Zhao , Yimo Gao , Shu Liao , Liang Zhao , Zhennan Yan , Yiqiang Zhan , Xiang Sean Zhou
摘要： A framework for cross-modality image synthesis. A first and second model may be trained using respective first and second pairs of complementary images and corresponding first and second ground truth images that represent first and second views of a region of interest. The first and second pairs of complementary images may be acquired by a first modality and the first and second ground truth images may be acquired by a second modality. A combinational network may further be trained to combine features from the first and second models. At least one synthetic second modality image may then be generated by passing current images through the trained first or second model and the combinational network, wherein the current images are acquired by the first modality and represent the first or second view of the region of interest.
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公开(公告)号：US10949975B2
公开(公告)日：2021-03-16
申请号：US15088305
申请日：2016-04-01
发明人： Luca Bogoni , Marcos Salganicoff , Matthias Wolf , Shu Liao , Yiqiang Zhan , Gerardo Hermosillo-Valadez , Xiang Sean Zhou , Zhigang Peng
IPC分类号： G16H15/00 , G06T7/11 , G06T7/00 , A61B5/00 , G16H50/20 , G16H10/60 , A61B5/055 , A61B5/107 , G16H30/40 , G06N3/04
摘要： A framework for patient management based on anatomic measurements is described herein. In accordance with one aspect, patient records are clustered into a set of sub-populations based on first anatomic measurements and characteristics extracted from first patient data associated with a population of patients. A representative sub-population similar to a patient may be determined from the set of sub-populations based on the patient data of the patient. A report that presents the second anatomic measurements associated with the patient in relation to corresponding first anatomic measurements associated with the representative sub-population may then be generated.
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