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公开(公告)号：US20220230408A1
公开(公告)日：2022-07-21
申请号：US17647225
申请日：2022-01-06
Applicant: Siemens Healthcare GmbH
Inventor： Rishabh Shah , Kaloian Petkov , Lev Gretskii , Daphne Yu , Klaus Engel
Abstract: The present embodiment relates to a renderer and an interactive method for image editing of medical 3D anatomical data. The method includes receiving a dataset with volumetric image data, which have been acquired from an image acquisition modality, and providing a signed distance field data structure of the received dataset. Further, editing operations are received from a user interface for editing at least a part of the provided signed distance field data structure. A visualization of the editing operations is calculated and displayed on a display.
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公开(公告)号：US10893262B2
公开(公告)日：2021-01-12
申请号：US15426616
申请日：2017-02-07
Applicant: Siemens Healthcare GmbH
Inventor： Christoph Vetter , Kaloian Petkov , Daphne Yu
IPC: H04N13/00 , H04N13/395 , G06T15/08 , G06T15/20 , H04N13/232 , G06T7/557 , H04N13/128 , H04N13/324
Abstract: Physically-based volume rendering generates a lightfield. The locations of scattering modeled in physically-based rendering are used to assign depths for the lightfield. The previously assigned depths and previously rendered lightfield are used for lightfield rendering, which may be performed more rapidly than the physically-based volume rendering.
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公开(公告)号：US10546414B2
公开(公告)日：2020-01-28
申请号：US15172971
申请日：2016-06-03
Applicant: Siemens Healthcare GmbH
IPC: G06T15/06
Abstract: A computer-implemented method for performing window-leveling of volumetric ray tracing includes a computer system retrieving a quad-tree data structure organizing a plurality of light paths associated with a volume rendered using a transfer function and one or more window level values. The computer system also receives a user selection of at least one of a new transfer function or new window level values. The volume is rendered by the computer system with the new transfer function or the new window level values using the quad-tree data structure. Then, the computer system synthesizes an image by adding contributions from all of the plurality of light paths according to the quad-tree data structure.
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公开(公告)号：US10248756B2
公开(公告)日：2019-04-02
申请号：US15018339
申请日：2016-02-08
Applicant: Siemens Healthcare GmbH
Inventor： Daphne Yu , Shaohua Kevin Zhou , Thomas Friese , Klaus Engel
Abstract: Generating anatomically specific movie driven medical image review is provided. Scan data is received representing an anatomy of a patient. A movie generation preset selection associated with the scan data is received. Anatomical landmarks within the scan data are detected. A movie of the patient is generated based on the scan data, the movie generation preset, and the anatomical landmarks.
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公开(公告)号：US20190096119A1
公开(公告)日：2019-03-28
申请号：US16106793
申请日：2018-08-21
Applicant: Siemens Healthcare GmbH
Inventor： Kaloian Petkov , Philipp Treffer , Daphne Yu , Babu Swamydoss , Feng Qiu
Abstract: A method of rendering one or more material properties of a surface of an object includes acquiring a medical data set as a three-dimensional representation of a three-dimensional object. A surface structure corresponding to the surface of the three-dimensional object is determined based on the medical dataset. A plurality of rendering locations are derived based on the determined surface structure. The method includes rendering, by a physically-based volumetric renderer and from the medical dataset, one or more material properties of the surface of the object at each of the plurality of rendering locations. The one or more rendered material properties are stored per rendering location. Also disclosed is apparatus for performing the method.
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Patent Agency Ranking
公开(公告)号：US09760690B1
公开(公告)日：2017-09-12
申请号：US15191043
申请日：2016-06-23
Applicant: Siemens Healthcare GmbH
Inventor： Kaloian Petkov , Shun Miao , Daphne Yu , Bogdan Georgescu , Klaus Engel , Tommaso Mansi , Dorin Comaniciu
CPC classification number: G06F19/345 , G06F19/00 , G06F19/321 , G06K9/6273 , G06K2209/05 , G06N3/0454 , G06T15/005 , G06T15/06 , G06T15/08 , G06T15/506 , G06T2210/41 , G16H50/20
Abstract: An artificial intelligence agent is machine trained and used to provide physically-based rendering settings. By using deep learning and/or other machine training, settings of multiple rendering parameters may be provided for consistent imaging even in physically-based rendering.
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公开(公告)号：US20220101963A1
公开(公告)日：2022-03-31
申请号：US17447606
申请日：2021-09-14
Applicant: Siemens Healthcare GmbH
Inventor： Daphne Yu , Anthony Dass Sowrirajan
Abstract: A medical data processing system includes: a medical data storage configured to collect one or more pieces of medical data from one or more input devices, a data analyzer configured to execute one or more analyzing services on the one or more pieces of medical data so as to output one or more corresponding pieces of analyzed medical data, a results manager configured to collect usage data, related to how the one or more pieces of analyzed medical data are analyzed by the data analyzer and/or used by one or more users, and a processing optimizer configured to control operation of the data analyzer based on the usage data.
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公开(公告)号：US10546415B2
公开(公告)日：2020-01-28
申请号：US15426589
申请日：2017-02-07
Applicant: Siemens Healthcare GmbH
Inventor： Kaloian Petkov , Christoph Vetter , Daphne Yu
Abstract: Physically-based volume rendering produces pixels. By assigning depths to the pixels, a 3D point cloud is generated. For more rapid rendering, such as due to user interaction, the 3D point cloud rendering is a proxy to physically-based volume rendering. The rendering parameters for the desired image may be determined using the proxy, and then physically-based volume rendering is performed to obtain the desired image.
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公开(公告)号：US20180211422A1
公开(公告)日：2018-07-26
申请号：US15745725
申请日：2015-09-02
Applicant: Siemens Healthcare GmbH
Inventor： Feng Qiu , Daphne Yu , Wei Hong , Puneet Sharma
CPC classification number: G06T11/008 , A61B6/466 , A61B6/487 , A61B6/504 , A61B6/507 , A61B6/5205 , A61B6/5217 , A61B6/5258 , G06T5/50 , G06T7/0016 , G06T2207/10076 , G06T2207/30104 , G06T2211/404 , G16H50/50
Abstract: A computer-implemented method of reducing 4D Digital Subtracted Angiography (DSA) reconstruction artifacts using a computational fluid dynamics (CFD) simulation includes a computer receiving first DSA time sequence data comprising a representation of a plurality of vessels and segmenting a vessel of interest from the first DSA time sequence data. The computer uses the CFD simulation to simulate fluid dynamics across the vessel of interest to yield a flow field and determines a plurality of simulated time activity curve parameters for each voxel inside the vessel of interest using the flow field. Then, the computer applies a reconstruction process to second DSA time sequence data to yield a DSA volume. This reconstruction process is constrained by the plurality of simulated time activity curve parameters for each voxel inside the vessel of interest.
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公开(公告)号：US20170262598A1
公开(公告)日：2017-09-14
申请号：US15191043
申请日：2016-06-23
Applicant: Siemens Healthcare GmbH
Inventor： Kaloian Petkov , Shun Miao , Daphne Yu , Bogdan Georgescu , Klaus Engel , Tommaso Mansi , Dorin Comaniciu
CPC classification number: G06F19/345 , G06F19/00 , G06F19/321 , G06K9/6273 , G06K2209/05 , G06N3/0454 , G06T15/005 , G06T15/06 , G06T15/08 , G06T15/506 , G06T2210/41 , G16H50/20
Abstract: An artificial intelligence agent is machine trained and used to provide physically-based rendering settings. By using deep learning and/or other machine training, settings of multiple rendering parameters may be provided for consistent imaging even in physically-based rendering.
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