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公开(公告)号：US20220249014A1
公开(公告)日：2022-08-11
申请号：US17168213
申请日：2021-02-05
发明人： Bernhard Geiger , Michael Schwier , Sasa Grbic , Esther Raithel , Dana Lin , Guillaume Chabin
摘要： Systems and methods for an intuitive display of one or more anatomical objects are provided. One or more 3D medical images of one or more anatomical objects of a patient are received. Correspondences between the one or more 3D medical images and points on a 2D map representing the one or more anatomical objects are determined. The 2D map is updated with patient information extracted from the one or more 3D medical images. The updated 2D map with the determined correspondences is output.
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公开(公告)号：US20200167911A1
公开(公告)日：2020-05-28
申请号：US16598382
申请日：2019-10-10
发明人： Jin-hyeong Park , Sasa Grbic , Matthias Fenchel , Esther Raithel , Dana Lin
摘要： Medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system to identify a subset of the medical image data representing a region of interest including one or more target tendons. A determination process is performed at the data processing system to determine one or more characteristics relating to one or more abnormalities of the one or more target tendons. Abnormality data is output, the abnormality data relating to the one or more abnormalities and being based on the one or more characteristics.
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公开(公告)号：US20220392614A1
公开(公告)日：2022-12-08
申请号：US17662475
申请日：2022-05-09
发明人： Michael Schwier , Bernhard Geiger , Sasa Grbic , Esther Raithel , Dana Lin , Guillaume Chabin
摘要： Techniques of determining a quantification of at least one characteristic of a muscle structure comprising at least one muscle and at least one tendon are disclosed. The quantification of the at least one characteristic of the rotator cuff may be determined by using at least one artificial neural network and based on one or more medical images depicting the muscle structure of a patient.
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公开(公告)号：US11386553B2
公开(公告)日：2022-07-12
申请号：US16598382
申请日：2019-10-10
发明人： Jin-hyeong Park , Sasa Grbic , Matthias Fenchel , Esther Raithel , Dana Lin
摘要： Medical image data is received at a data processing system, which is an artificial intelligence-based system. An identification process is performed at the data processing system to identify a subset of the medical image data representing a region of interest including one or more target tendons. A determination process is performed at the data processing system to determine one or more characteristics relating to one or more abnormalities of the one or more target tendons. Abnormality data is output, the abnormality data relating to the one or more abnormalities and being based on the one or more characteristics.
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公开(公告)号：US10895622B2
公开(公告)日：2021-01-19
申请号：US16289985
申请日：2019-03-01
发明人： Daniel Polak , Esther Raithel , Kawin Setsompop
IPC分类号： G01R33/56 , G06N20/00 , G06N3/08 , G01R33/561
摘要： Techniques are disclosed to leverage the use of neural networks or similar machine learning algorithms to de-noise highly accelerated Wave-CAIPIRINHA scans. The described techniques facilitate the generation of 3D sequences using a greatly reduced scan time, with the resulting images having a high spatial resolution and an improved SNR compared to conventional approaches.
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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：US10823806B2
公开(公告)日：2020-11-03
申请号：US15820681
申请日：2017-11-22
发明人： Daniel Polak , Yen Mei Lisa Chuah , Esther Raithel
IPC分类号： G01R33/561 , G01R33/58 , G01R33/56 , G01R33/48 , G01R33/565
摘要： Magnetic resonance (MR) data are acquired by applying magnetic fields to an examination region concurrent with stimulated echo signals, such that trajectories, which are not straight lines, are generated in k-space. For this purpose, sequence of RF pulses is applied to generate the stimulated echo signals in the examination object, undersampled MR measurement data are detected during reception of the stimulated echo signals in the at least two receiving coils, along the curved k-space trajectories, and fully sampled MR measurement are generated from the undersampled MR measurement data using sensitivity information of the at least two receiving coils. Alternatively, the MR measurement data are fully sampled in a central region of k-space, and a region outside the central region is not fully sampled, and a phase correction with a Partial Fourier technique is executed on the MR measurement data using fully sampled MR measurement data from the central region of k-space.
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公开(公告)号：US20190285713A1
公开(公告)日：2019-09-19
申请号：US16289985
申请日：2019-03-01
发明人： Daniel Polak , Esther Raithel , Kawin Setsompop
IPC分类号： G01R33/56 , G01R33/561 , G06N3/08 , G06N20/00
摘要： Techniques are disclosed to leverage the use of neural networks or similar machine learning algorithms to de-noise highly accelerated Wave-CAIPIRINHA scans. The described techniques facilitate the generation of 3D sequences using a greatly reduced scan time, with the resulting images having a high spatial resolution and an improved SNR compared to conventional approaches.
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公开(公告)号：US20190154784A1
公开(公告)日：2019-05-23
申请号：US15820681
申请日：2017-11-22
发明人： Daniel Polak , Yen Mei Lisa Chuah , Esther Raithel
IPC分类号： G01R33/561 , G01R33/48 , G01R33/56 , G01R33/58 , G01R33/565
CPC分类号： G01R33/5617 , G01R33/4818 , G01R33/4822 , G01R33/5608 , G01R33/5611 , G01R33/56509 , G01R33/56545 , G01R33/583
摘要： Magnetic resonance (MR) data are acquired by applying magnetic fields to an examination region concurrent with stimulated echo signals, such that trajectories, which are not straight lines, are generated in k-space. For this purpose, sequence of RF pulses is applied to generate the stimulated echo signals in the examination object, undersampled MR measurement data are detected during reception of the stimulated echo signals in the at least two receiving coils, along the curved k-space trajectories, and fully sampled MR measurement are generated from the undersampled MR measurement data using sensitivity information of the at least two receiving coils. Alternatively, the MR measurement data are fully sampled in a central region of k-space, and a region outside the central region is not fully sampled, and a phase correction with a Partial Fourier technique is executed on the MR measurement data using fully sampled MR measurement data from the central region of k-space.
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