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公开(公告)号：US10820837B2
公开(公告)日：2020-11-03
申请号：US16379122
申请日：2019-04-09
发明人： Liang Zhao , Esther Raithel , Yiqiang Zhan
摘要： In a method for alpha angle measurements of a bone joint based on magnetic resonance imaging (MRI) data of the bone joint, a three-dimensional (3D) bone surface image of the bone joint is generated based on two-dimensional (2D) segmentations on radial plane slices of the bone joint. Based on the 3D bone surface image, a head center of a head of the bone joint and a neck axis of a neck of the bone joint are estimated. An alpha angle model is constructed based on the estimated head center and neck axis. Further, the alpha angle measurement is determined for each of the radial plane slices of the bone joint based on the constructed alpha angle model.
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公开(公告)号：US20190307366A1
公开(公告)日：2019-10-10
申请号：US16379122
申请日：2019-04-09
发明人： Liang Zhao , Esther Raithel , Yiqiang Zhan
摘要： In a method for alpha angle measurements of a bone joint based on magnetic resonance imaging (MRI) data of the bone joint, a three-dimensional (3D) bone surface image of the bone joint is generated based on two-dimensional (2D) segmentations on radial plane slices of the bone joint. Based on the 3D bone surface image, a head center of a head of the bone joint and a neck axis of a neck of the bone joint are estimated. An alpha angle model is constructed based on the estimated head center and neck axis. Further, the alpha angle measurement is determined for each of the radial plane slices of the bone joint based on the constructed alpha angle model.
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公开(公告)号：US20190021625A1
公开(公告)日：2019-01-24
申请号：US16011969
申请日：2018-06-19
发明人： Fitsum Aklilu Reda , Yiqiang Zhan , Martin Harder
摘要： A method to automatically align magnetic resonance (MR) scans for diagnostic scan planning includes acquiring a three-dimensional (3D) localizer image of an anatomical object. One or more initial landmarks are identified in the 3D localizer image using a landmarking engine. One or more main axes associated with the anatomical object are identified based on the one or more initial landmarks. The 3D localizer image is registered to a canonical space based on the main axes associated to yield a registered 3D localizer image. The landmarking engine is applied to the registered 3D localizer image to yield one or more updated landmarks. A plurality of reference points for performing a MR scan are computed based on the one or more updated landmarks.
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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：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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公开(公告)号：US10685438B2
公开(公告)日：2020-06-16
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
IPC分类号： G06K9/00 , G06T7/00 , G01B21/20 , G06T7/12 , G06T7/60 , G06T7/66 , G06N20/00 , G06K9/62 , G06T7/62 , G06K9/46
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：US20170323444A1
公开(公告)日：2017-11-09
申请号：US15149474
申请日：2016-05-09
发明人： Matthias Fenchel , Yiqiang Zhan
CPC分类号： G06T7/0014 , G06K9/6262 , G06K9/627 , G06T7/11 , G06T2207/10088 , G06T2207/20128
摘要： In a magnetic resonance (MR) apparatus and segmentation method, a region in an MR image, acquired from a scan of a patient with an MR scanner of the apparatus, is provided to a computer for segmentation of the region from the overall image dataset. The segmentation takes place based on a classification of image elements of the image dataset, and the classification is iteratively re-trained in a weakly supervised learning algorithm based on examination-specific information provided to the computer.
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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：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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