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公开(公告)号：US12027253B2
公开(公告)日：2024-07-02
申请号：US17730617
申请日：2022-04-27
发明人： Max Schoebinger , Michael Wels , Chris Schwemmer , Mehmet Akif Gulsun , Serkan Cimen , Felix Lades , Christian Hopfgartner , Suha Ayman , Rumman Khan , Ashish Jaiswal
摘要： At least one example embodiment provides a computer-implemented method for evaluating at least one image data set of an imaging region of a patient, wherein at least one evaluation information describing at least one medical condition in an anatomical structure of the imaging region is determined.
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公开(公告)号：US11538152B2
公开(公告)日：2022-12-27
申请号：US16898743
申请日：2020-06-11
发明人： Christian Schmidt , Max Schoebinger , Michael Wels
摘要： A method is for providing an aggregate algorithm for processing medical data. In an embodiment, a multitude of local algorithms are trained by machine learning. The training of each respective local algorithm is performed on a respective local system using respective local training data. A respective algorithm dataset concerning the respective local algorithm is transferred to an aggregating system that generates the aggregate algorithm based on the algorithm datasets.
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3.发明授权公开(公告)号：US11954178B2
公开(公告)日：2024-04-09
申请号：US17462140
申请日：2021-08-31
发明人： Alexander Muehlberg , Oliver Taubmann , Alexander Katzmann , Felix Durlak , Michael Wels , Felix Lades , Rainer Kaergel , Michael Suehling
IPC分类号： G06F18/2433 , G06F18/21 , G06F18/245 , G06T7/00
CPC分类号： G06F18/2433 , G06F18/2193 , G06F18/245 , G06T7/0012 , G06T2207/20076 , G06V2201/03
摘要： A computer-implemented method is for providing radiomics-related information. In an embodiment, the computer-implemented method includes receiving radiomics-related data; determining, based on the radiomics-related data and an assistance algorithm, a function for processing the radiomics-related data; calculating, based on the radiomics-related data and the function for processing the radiomics-related data, the radiomics-related information; and providing the radiomics-related information.
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公开(公告)号：US10922813B2
公开(公告)日：2021-02-16
申请号：US16154771
申请日：2018-10-09
摘要： A method is for determining at least one object feature of an object at least partially depicted by an object image. A respective preliminary feature for each object feature and at least one acquisition feature are determined from the object image. The preliminary feature depends on the object feature and on an imaging device used to acquire the object image and/or at least one imaging parameter used for acquiring and/or reconstructing the object image and/or an additional feature of the object. The acquisition feature depends on the imaging device and/or the imaging parameter and/or the additional feature of the object. A correction algorithm determines the object feature from the preliminary feature and the acquisition feature. The acquisition feature is determined by a respective determination algorithm that is selected and/or parametrized from a group of candidate algorithms, depending on multiple reference images.
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公开(公告)号：US10733787B2
公开(公告)日：2020-08-04
申请号：US15447286
申请日：2017-03-02
摘要： A method for interactively generating a geometric model of a volume object on the basis of three-dimensional image data of an examination region of interest of an examination subject is described. According to an embodiment, a representation of the volume object is determined on the basis of three-dimensional image data and a two-dimensional representation is determined on the basis of the determined representation using a preferably non-linear planar reformation of the three-dimensional object. Subsequently, boundary indicators which define the surface profile of the volume object are edited in the two-dimensional representation. Following the editing, a three-dimensional representation of the edited boundary indicators is generated by back-transforming the edited boundary indicators into three-dimensional space. Finally, a model-based representation of the volume object is generated in three-dimensional space on the basis of the edited boundary indicators. A volume object modeling device is also described. In addition, a medical imaging device is described.
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公开(公告)号：US10331850B2
公开(公告)日：2019-06-25
申请号：US14606745
申请日：2015-01-27
发明人： Vivek Kumar Singh , Yao-jen Chang , Kai Ma , Terrence Chen , Michael Wels , Grzegorz Soza
摘要： A method for estimating a body surface model of a patient includes: (a) segmenting, by a computer processor, three-dimensional sensor image data to isolate patient data from environmental data; (b) categorizing, by the computer processor, a body pose of the patient from the patient data using a first trained classifier; (c) parsing, by the computer processor, the patient data to an anatomical feature of the patient using a second trained classifier, wherein the parsing is based on a result of the categorizing; and (d) estimating, by the computer processor, the body surface model of the patient based on a result of the parsing. Systems for estimating a body surface model of a patient are described.
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公开(公告)号：US11803966B2
公开(公告)日：2023-10-31
申请号：US17095057
申请日：2020-11-11
发明人： Felix Denzinger , Sebastian Faby , Max Schoebinger , Michael Wels
CPC分类号： G06T7/0014 , A61B6/032 , A61B6/469 , A61B6/504 , A61B6/5217 , G06T7/11 , G06T7/62 , G16H50/30 , G16H70/20 , G06T2207/10081 , G06T2207/30048 , G06T2207/30101 , G06T2207/30172
摘要： A computer-implemented method is for evaluating a CT data set of a coronary region of a patient regarding perivascular tissue of at least one target blood vessel. In an embodiment, the computer-implemented method automatically determines a centerline of at least the at least one target blood vessel in the CT data set; defines a region of interest as including at least one defined outer region radius around an extension interval of the centerline, the outer region radius being relatively larger than a radius of the at least one target blood vessel; and calculates at least one quantitative value from CT data in the region of interest.
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公开(公告)号：US09633435B2
公开(公告)日：2017-04-25
申请号：US14865986
申请日：2015-09-25
发明人： Kai Ma , Yao-jen Chang , Vivek Kumar Singh , Thomas O'Donnell , Michael Wels , Tobias Betz , Andreas Wimmer , Terrence Chen
CPC分类号： G06T7/90 , G06T7/33 , G06T11/005 , G06T2207/10024 , G06T2207/10028 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/30208
摘要： A computer-implemented method for automatically calibrating an RGB-D sensor and an imaging device using a transformation matrix includes using a medical image scanner to acquire a first dataset representative of an apparatus attached to a downward facing surface of a patient table, wherein corners of the apparatus are located at a plurality of corner locations. The plurality of corner locations are identified based on the first dataset and the RGB-D sensor is used to acquire a second dataset representative of a plurality of calibration markers displayed on an upward facing surface of the patient table at the corner locations. A plurality of calibration marker locations are identified based on the second dataset and the transformation matrix is generated by aligning the first dataset and the second dataset using the plurality of corner locations and the plurality of calibration marker locations. Then, a translation is added to the transformation matrix corresponding to a maximum height associated with the apparatus.
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公开(公告)号：US10424118B2
公开(公告)日：2019-09-24
申请号：US15390827
申请日：2016-12-27
摘要： A method and a device are disclosed for the perspective representation, via an output image, of at least one virtual scene component arranged within a real scene. In the method, depth image data of the real scene is captured from a first perspective via a depth image sensor, and 2D image data of the real scene is captured from a second perspective via a 2D camera. Further, a virtual three-dimensional scene model of the real scene is created with reference to depth information from the depth image data, and at least one virtual scene component is inserted into the three-dimensional virtual model. Finally, an output image is generated by way of perspective projection of the 2D image data corresponding to the second perspective onto the virtual three-dimensional scene model comprising the virtual scene component.
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公开(公告)号：US20170091940A1
公开(公告)日：2017-03-30
申请号：US14865986
申请日：2015-09-25
发明人： Kai Ma , Yao-jen Chang , Vivek Kumar Singh , Thomas O'Donnell , Michael Wels , Tobias Betz , Andreas Wimmer , Terrence Chen
CPC分类号： G06T7/90 , G06T7/33 , G06T11/005 , G06T2207/10024 , G06T2207/10028 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/30208
摘要： A computer-implemented method for automatically calibrating an RGB-D sensor and an imaging device using a transformation matrix includes using a medical image scanner to acquire a first dataset representative of an apparatus attached to a downward facing surface of a patient table, wherein corners of the apparatus are located at a plurality of corner locations. The plurality of corner locations are identified based on the first dataset and the RGB-D sensor is used to acquire a second dataset representative of a plurality of calibration markers displayed on an upward facing surface of the patient table at the corner locations. A plurality of calibration marker locations are identified based on the second dataset and the transformation matrix is generated by aligning the first dataset and the second dataset using the plurality of corner locations and the plurality of calibration marker locations. Then, a translation is added to the transformation matrix corresponding to a maximum height associated with the apparatus.
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