Patents by Inventor Michael Wels
Michael Wels 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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Publication number: 20240070866Abstract: A computer-implemented method comprises: receiving a measurement data set, the measurement data set including energy resolved data based on a computed tomography scan of the patient; reconstructing a morphology preserving image data set based on a first photon-energy band or a first combination of photon-energy bands described by the measurement data set; segmenting a blood pool within a myocardium in the morphology preserving image data set; reconstructing a contrast agent map based on a second photon-energy band or a second combination of photon-energy bands described by the measurement data set; determining a reference value based on at least one pixel or voxel of the contrast agent map within the segmented blood pool; and determining a respective myocardial extracellular volume fraction depending on the reference value and a value given for at least one respective pixel or voxel outside the segmented blood pool by the contrast agent map.Type: ApplicationFiled: August 29, 2023Publication date: February 29, 2024Applicant: Siemens Healthcare GmbHInventors: Michael WELS, Suha AYMAN, Max SCHOEBINGER, Thomas ALLMENDINGER, Ernst KLOTZ, Bernhard SCHMIDT
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Publication number: 20230386037Abstract: 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.Type: ApplicationFiled: August 4, 2023Publication date: November 30, 2023Applicant: Siemens Healthcare GmbHInventors: Felix DENZINGER, Sebastian FABY, Max SCHOEBINGER, Michael WELS
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Patent number: 11803966Abstract: 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.Type: GrantFiled: November 11, 2020Date of Patent: October 31, 2023Assignee: SIEMENS HEALTHCARE GMBHInventors: Felix Denzinger, Sebastian Faby, Max Schoebinger, Michael Wels
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Publication number: 20230086196Abstract: A computer-implemented method for evaluating a three-dimensional angiography dataset of a blood vessel tree of a patient, comprises determining a variant information describing a belonging to at least one anatomical variant class of a plurality of anatomical variant classes relating to anatomical variants of the blood vessel tree based on a comparison of angiography information of the angiography dataset to reference information describing at least one of the anatomical variant classes.Type: ApplicationFiled: September 20, 2022Publication date: March 23, 2023Applicant: Siemens Healthcare GmbHInventors: Felix DENZINGER, Michael WELS, Michael SUEHLING
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Patent number: 11538152Abstract: 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.Type: GrantFiled: June 11, 2020Date of Patent: December 27, 2022Assignee: Siemens Healthcare GmbHInventors: Christian Schmidt, Max Schoebinger, Michael Wels
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Publication number: 20220351833Abstract: 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.Type: ApplicationFiled: April 27, 2022Publication date: November 3, 2022Applicant: Siemens Healthcare GmbHInventors: Max SCHOEBINGER, Michael WELS, Chris SCHWEMMER, Mehmet Akif GULSUN, Serkan CIMEN, Felix LADES, Christian HOPFGARTNER, Suha AYMAN, Rumman KHAN, Ashish JAISWAL
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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: 20220092775Abstract: A method, preferably a computer implemented method, and system are for providing output data associated with a medical imaging dataset of a patient, the medical imaging dataset including image data of a region of an anatomy of a patient including a plurality of coronary arteries. The output data is a significance score associated with a medical imaging data set of a patient. The method, in the most general terms, includes receiving input data, e.g. via a first interface, generating output data by applying algorithmic operations to the input data, and providing the output data, e.g. via a second interface.Type: ApplicationFiled: September 17, 2021Publication date: March 24, 2022Applicant: Siemens Healthcare GmbHInventors: Felix DENZINGER, Michael WELS, Max SCHOEBINGER, Alexander MUEHLBERG, Michael SUEHLING
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Publication number: 20210166389Abstract: 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.Type: ApplicationFiled: November 11, 2020Publication date: June 3, 2021Applicant: Siemens Healthcare GmbHInventors: Felix DENZINGER, Sebastian FABY, Max SCHOEBINGER, Michael WELS
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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: 20200402230Abstract: 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.Type: ApplicationFiled: June 11, 2020Publication date: December 24, 2020Applicant: Siemens Healthcare GmbHInventors: Christian SCHMIDT, Max SCHOEBINGER, Michael WELS
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Patent number: 10733787Abstract: 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.Type: GrantFiled: March 2, 2017Date of Patent: August 4, 2020Assignee: SIEMENS HEALTHCARE GMBHInventors: Christian Hopfgartner, Felix Lades, Chris Schwemmer, Michael Suehling, Michael Wels
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Patent number: 10424118Abstract: 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.Type: GrantFiled: December 27, 2016Date of Patent: September 24, 2019Assignee: Siemens Healthcare GmbHInventors: Thilo Hannemann, Michael Suehling, Michael Wels, Andreas Wimmer, Ferdinand Distler
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Patent number: 10331850Abstract: 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.Type: GrantFiled: January 27, 2015Date of Patent: June 25, 2019Assignee: Siemens Healthcare GmbHInventors: Vivek Kumar Singh, Yao-jen Chang, Kai Ma, Terrence Chen, Michael Wels, Grzegorz Soza
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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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Patent number: 9805473Abstract: A method and system for segmenting multiple brain structures in 3D magnetic resonance (MR) images is disclosed. After intensity standardization of a 3D MR image, a meta-structure including center positions of multiple brain structures is detected in the 3D MR image. The brain structures are then individually segmented using marginal space learning (MSL) constrained by the detected meta-structure.Type: GrantFiled: September 14, 2009Date of Patent: October 31, 2017Assignee: Siemens Healthcare GmbHInventors: Michael Wels, Gustavo Henrique Monteiro de Barros Carneiro, Martin Huber, Dorin Comaniciu, Yefeng Zheng
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Publication number: 20170270705Abstract: 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.Type: ApplicationFiled: March 2, 2017Publication date: September 21, 2017Applicant: Siemens Healthcare GmbHInventors: Christian HOPFGARTNER, Felix LADES, Chris SCHWEMMER, Michael SUEHLING, Michael WELS
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Publication number: 20170200317Abstract: 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.Type: ApplicationFiled: December 27, 2016Publication date: July 13, 2017Applicant: Siemens Healthcare GmbHInventors: Thilo HANNEMANN, Michael SUEHLING, Michael WELS, Andreas WIMMER, Ferdinand DISTLER
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Patent number: 9629599Abstract: A method of assigning first localization data of a breast of a patient derived from first image data of the breast, the first image data being the result of a first radiological data acquisition process, to second localization data of the same breast derived from second image data, the second image data being the result of a second radiological data acquisition process, or vice versa. Thereby, the first localization data are assigned to the second localization data by intermediately mapping them into breast model data representing a patient-specific breast shape of the patient and then onto the second image data—or vice versa, thereby deriving assignment data. An assignment system performs the above-described method.Type: GrantFiled: March 11, 2014Date of Patent: April 25, 2017Assignee: SIEMENS AKTIENGESELLSCHAFTInventors: Anna Jerebko, Michael Kelm, Michael Suehling, Michael Wels