Patents by Inventor Rainer Kärgel
Rainer Kärgel has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11954178Abstract: 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.Type: GrantFiled: August 31, 2021Date of Patent: April 9, 2024Assignee: Siemens Healthineers AGInventors: Alexander Muehlberg, Oliver Taubmann, Alexander Katzmann, Felix Durlak, Michael Wels, Felix Lades, Rainer Kaergel, Michael Suehling
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Patent number: 11823401Abstract: A computer-implemented method for comparing follow-up medical findings includes receiving image data showing a body part of a patient at a first time and retrieving, from a database, reference data associated to the image data. The reference data includes reference biometric data and one or more reference medical findings. Thereby the reference biometric data and the one or more reference medical findings have been extracted from reference image data depicting the body part of the patient at a second time, different than the first time. The method further includes processing the received image data to extract, from the image data, biometric data corresponding to the reference biometric data and one or more medical findings; performing a registration of the extracted biometric data with the reference biometric data; and comparing the extracted medical findings with the reference medical findings using the registration.Type: GrantFiled: November 18, 2020Date of Patent: November 21, 2023Assignee: SIEMENS HEALTHCARE GMBHInventors: Jonathan Sperl, Sven Bauer, Lutz Guendel, Rainer Kaergel
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Publication number: 20230070656Abstract: One or more example embodiments of the present invention relates in one aspect to a computer-implemented method includes receiving 2D topogram data of a patient; generating 2D topogram annotation data by applying a machine learning algorithm for topogram analysis onto the 2D topogram data; generating the medical imaging decision support data based on the 2D topogram annotation data; and providing the medical imaging decision support data.Type: ApplicationFiled: August 31, 2022Publication date: March 9, 2023Applicant: Siemens Healthcare GmbHInventors: Michael SUEHLING, Felix DURLAK, Rainer KAERGEL
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Patent number: 11538154Abstract: A method and device are for automatic determination of the change of a hollow organ. The method includes providing a first medical image of the organ recorded at a first time; computing a first representation of the organ in the first image; computing a first reference-line of the organ based on the first representation and providing a second medical image of the organ recorded at a second point. The method further includes computing a second representation of the organ in the second image; computing a second reference-line of the organ based on the second representation of the organ; registering of the first and second reference-line to obtain at least one of matched representations of the organ and features derived from the matched representations of the organs; and comparing at least one of the matched representations of the organs and the features derived from the matched representations of the organ.Type: GrantFiled: September 4, 2020Date of Patent: December 27, 2022Assignee: SIEMENS HEALTHCARE GMBHInventors: Jonathan Sperl, Rainer Kaergel
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Patent number: 11341632Abstract: A method is for obtaining at least one feature of interest, especially a biomarker, from an input image acquired by a medical imaging device. The at least one feature of interest is the output of a respective node of a machine learning network, in particular a deep learning network. The machine learning network processes at least part of the input image as input data. The used machine learning network is trained by machine learning using at least one constraint for the output of at least one inner node of the machine learning network during the machine learning.Type: GrantFiled: May 9, 2019Date of Patent: May 24, 2022Assignee: SIEMENS HEALTHCARE GMBHInventors: Alexander Muehlberg, Rainer Kaergel, Alexander Katzmann, Michael Suehling
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Publication number: 20220101070Abstract: 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.Type: ApplicationFiled: August 31, 2021Publication date: March 31, 2022Applicant: Siemens Healthcare GmbHInventors: Alexander MUEHLBERG, Oliver TAUBMANN, Alexander KATZMANN, Felix DURLAK, Michael WELS, Felix LADES, Rainer KAERGEL, Michael SUEHLING
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Publication number: 20220036136Abstract: A computer-implemented method and system are for parametrizing a function including a processing algorithm and a representation generator, the representation generator being designed to generate at least one representation. In an embodiment, the method includes using an optimization algorithm to determine the processing algorithm and the at least one representation parametrization. The optimization algorithm optimizes a measure for the performance of the processing algorithm when operating on a set of training representations generated by applying the representation generator to training medical image datasets, by varying on the one hand the content of the at least one representation parametrization and/or the number of used representation parametrizations and on the other hand the processing algorithm and the algorithm parameters.Type: ApplicationFiled: July 22, 2021Publication date: February 3, 2022Applicant: Siemens Healthcare GmbHInventors: Alexander MUEHLBERG, Oliver TAUBMANN, Alexander KATZMANN, Felix DENZINGER, Felix LADES, Rainer KAERGEL, Felix DURLAK, Michael SUEHLING
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Patent number: 11127138Abstract: Systems and methods are provided for evaluating an aorta of a patient. A medical image of an aorta of a patient is received. The aorta is segmented from the medical image. One or more measurement planes are identified on the segmented aorta. At least one measurement is calculated at each of the one or more measurement planes. The aorta of the patient is evaluated based on the at least one measurement calculated at each of the one or more measurement planes.Type: GrantFiled: November 20, 2018Date of Patent: September 21, 2021Assignee: Siemens Healthcare GmbHInventors: Saikiran Rapaka, Mehmet Akif Gulsun, Dominik Neumann, Jonathan Sperl, Rainer Kaergel, Bogdan Georgescu, Puneet Sharma
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Patent number: 11074688Abstract: For processing a medical image, medical image data representing a medical image of at least a portion of a vertebral column is received. The medical image data is processed to determine a plurality of positions within the image. Each of the plurality of positions corresponds to a position relating to a vertebral bone within the vertebral column. Data representing the plurality of positions is processed to determine a degree of deformity of at least one vertebral bone within the vertebral column.Type: GrantFiled: November 8, 2019Date of Patent: July 27, 2021Assignee: Siemens Healthcare GmbHInventors: Guillaume Chabin, Jonathan Sperl, Rainer Kärgel, Sasa Grbic, Razvan Ionasec, Dorin Comaniciu
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Publication number: 20210166406Abstract: A computer-implemented method for comparing follow-up medical findings includes receiving image data showing a body part of a patient at a first time and retrieving, from a database, reference data associated to the image data. The reference data includes reference biometric data and one or more reference medical findings. Thereby the reference biometric data and the one or more reference medical findings have been extracted from reference image data depicting the body part of the patient at a second time, different than the first time. The method further includes processing the received image data to extract, from the image data, biometric data corresponding to the reference biometric data and one or more medical findings; performing a registration of the extracted biometric data with the reference biometric data; and comparing the extracted medical findings with the reference medical findings using the registration.Type: ApplicationFiled: November 18, 2020Publication date: June 3, 2021Applicant: Siemens Healthcare GmbHInventors: Jonathan SPERL, Sven BAUER, Lutz GUENDEL, Rainer KAERGEL
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Publication number: 20210082110Abstract: A method and device are for automatic determination of the change of a hollow organ. The method includes providing a first medical image of the organ recorded at a first time; computing a first representation of the organ in the first image; computing a first reference-line of the organ based on the first representation and providing a second medical image of the organ recorded at a second point. The method further includes computing a second representation of the organ in the second image; computing a second reference-line of the organ based on the second representation of the organ; registering of the first and second reference-line to obtain at least one of matched representations of the organ and features derived from the matched representations of the organs; and comparing at least one of the matched representations of the organs and the features derived from the matched representations of the organ.Type: ApplicationFiled: September 4, 2020Publication date: March 18, 2021Applicant: Siemens Healthcare GmbHInventors: Jonathan SPERL, Rainer KAERGEL
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Patent number: 10937227Abstract: A method, for two-dimensional mapping of anatomical structures of a patient, includes acquiring three-dimensional image data of anatomical structures of a patient; adapting a virtual network structure to a spatial course of the anatomical structures; defining a user-defined map projection for projection of two-dimensional pixel positions of an image to be output onto a geometric figure around a center of the anatomical structures for which mapping onto a two-dimensional space is defined; ascertaining points of intersection of radially extending half lines assigned to the two-dimensional pixel positions of the image to be output with the virtual network structure; and ascertaining the image to be output based upon image intensity values assigned to the points of intersection ascertained. A method for two-dimensional mapping of the tree-like elongated structure of the patient; a method for simultaneous mapping of a tree-like elongated structure; and corresponding apparatuses are also described.Type: GrantFiled: August 17, 2018Date of Patent: March 2, 2021Assignee: SIEMENS HEALTHCARE GMBHInventors: Xinyun Li, Rainer Kaergel, Michael Suehling, Chris Schwemmer, Max Schoebinger
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Patent number: 10922813Abstract: 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.Type: GrantFiled: October 9, 2018Date of Patent: February 16, 2021Assignee: SIEMENS HEALTHCARE GMBHInventors: Alexander Muehlberg, Rainer Kaergel, Michael Wels, Michael Suehling
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Publication number: 20200160515Abstract: For processing a medical image, medical image data representing a medical image of at least a portion of a vertebral column is received. The medical image data is processed to determine a plurality of positions within the image. Each of the plurality of positions corresponds to a position relating to a vertebral bone within the vertebral column. Data representing the plurality of positions is processed to determine a degree of deformity of at least one vertebral bone within the vertebral column.Type: ApplicationFiled: November 8, 2019Publication date: May 21, 2020Inventors: Guillaume Chabin, Jonathan Sperl, Rainer Kärgel, Sasa Grbic, Razvan Ionasec, Dorin Comaniciu
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Publication number: 20200160527Abstract: Systems and methods are provided for evaluating an aorta of a patient. A medical image of an aorta of a patient is received. The aorta is segmented from the medical image. One or more measurement planes are identified on the segmented aorta. At least one measurement is calculated at each of the one or more measurement planes. The aorta of the patient is evaluated based on the at least one measurement calculated at each of the one or more measurement planes.Type: ApplicationFiled: November 20, 2018Publication date: May 21, 2020Inventors: Saikiran Rapaka, Mehmet Akif Gulsun, Dominik Neumann, Jonathan Sperl, Rainer Kaergel, Bogdan Georgescu, Puneet Sharma
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Publication number: 20190355114Abstract: A method is for obtaining at least one feature of interest, especially a biomarker, from an input image acquired by a medical imaging device. The at least one feature of interest is the output of a respective node of a machine learning network, in particular a deep learning network. The machine learning network processes at least part of the input image as input data. The used machine learning network is trained by machine learning using at least one constraint for the output of at least one inner node of the machine learning network during the machine learning.Type: ApplicationFiled: May 9, 2019Publication date: November 21, 2019Applicant: Siemens Healthcare GmbHInventors: Alexander MUEHLBERG, Rainer KAERGEL, Alexander KATZMANN, Michael SUEHLING
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Publication number: 20190114767Abstract: 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.Type: ApplicationFiled: October 9, 2018Publication date: April 18, 2019Applicant: Siemens Healthcare GmbHInventors: Alexander MUEHLBERG, Rainer KAERGEL, Michael WELS, Michael SUEHLING
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Publication number: 20190057541Abstract: A method, for two-dimensional mapping of anatomical structures of a patient, includes acquiring three-dimensional image data of anatomical structures of a patient; adapting a virtual network structure to a spatial course of the anatomical structures; defining a user-defined map projection for projection of two-dimensional pixel positions of an image to be output onto a geometric figure around a center of the anatomical structures for which mapping onto a two-dimensional space is defined; ascertaining points of intersection of radially extending half lines assigned to the two-dimensional pixel positions of the image to be output with the virtual network structure; and ascertaining the image to be output based upon image intensity values assigned to the points of intersection ascertained. A method for two-dimensional mapping of the tree-like elongated structure of the patient; a method for simultaneous mapping of a tree-like elongated structure; and corresponding apparatuses are also described.Type: ApplicationFiled: August 17, 2018Publication date: February 21, 2019Applicant: Siemens Healthcare GmbHInventors: Xinyun Li, Rainer Kaergel, Michael Suehling, Chris Schwemmer, Max Schoebinger