Patents by Inventor Sebastian Schafer

Sebastian Schafer 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).

  • Patent number: 11919445
    Abstract: A vehicle steering wheel system is provided. The system includes a steering wheel body with a hub region for attachment to a steering shaft of a vehicle steering system, a steering wheel rim and at least one spoke for attaching the steering wheel rim to the hub region; an electromechanical triggering device for triggering an acoustic output by means of an acoustic warning device of the vehicle, wherein the triggering device has an impact absorber cover and at least one force transducer wherein a force value threshold is predefined for each force transducer, and a wake-up signal is transmitted via the data connection to the evaluation unit if the force value threshold is exceeded by at least one force value, so that the latter changes from the energy-saving mode into the operating mode in which an actuating force value is determined by force value measured by the at least one force transducer.
    Type: Grant
    Filed: February 17, 2020
    Date of Patent: March 5, 2024
    Assignee: PREH GMBH
    Inventors: Oliver Katzenberger, Stefan Wahl, Dirk Ruetzel, Martin Schäfer, Sebastian Schrenk
  • Patent number: 11707240
    Abstract: An inverse visualization of a time-resolved angiographic image data set of a vascular system of a patient that was recorded by a medical imager during the flow of a contrast medium through the vascular system is provided. The time-resolved angiographic image data set of the vascular system has a temporal sequence of frames of the vascular system corresponding to the contrast medium filling process. A data set from bolus arrival times for each pixel or voxel is determined. The bolus arrival time corresponds to the time in the temporal sequence at which a predetermined contrast enhancement due to the contrast medium filling first occurs. A data set of temporally inverted bolus arrival times with respect to the contrast medium filling is determined for each pixel or voxel, resulting in a temporally inverted sequence of frames with respect to the contrast medium filling. The time-resolved angiographic image data set in the temporally inverted sequence is visualized.
    Type: Grant
    Filed: January 19, 2021
    Date of Patent: July 25, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Markus Kowarschik, Sebastian Schafer
  • Publication number: 20230123449
    Abstract: A method for evaluating image data of a patient showing a target region to be treated with an embolizing agent includes providing a three-dimensional time-resolved image data set of a vascular system portion of the patient. A structural parameter that describes a geometry of at least the vascular system portion and/or a basic information item including dynamic parameters that describe hemodynamics in the vascular system portion is established from the image data set by an analysis algorithm. An embolization information item describing a plurality of embolizing agents that are to be used is provided. An actuation information item describing a suitable composition of the plurality of embolizing agents, for an intervention facility used for carrying out the treatment is established by an establishing algorithm that uses the basic information item and the embolization information item, and the actuation information item is provided to the intervention facility.
    Type: Application
    Filed: September 28, 2022
    Publication date: April 20, 2023
    Inventors: Annette Birkhold, Christian Kaethner, Sebastian Schäfer, Stephan Kellnberger, Alois Regensburger
  • Publication number: 20230016525
    Abstract: A method of producing a biodegradable cartridge having a predominantly elongated cylindrical shape having a cavity, including steps of providing a first element of a sheet form into a cylindrical form; providing a second element to the cavity of a first end of the cartridge, thereby closing the first end of the cartridge; providing another second element to the cavity of a second end of the cartridge, thereby closing the second end of the cartridge; providing a third element to the second end of the cartridge such that the periphery of the second end is larger than the periphery of the first end of the cartridge; wherein the first element, the second element and the third element are made of biodegradable materials, wherein the elements are configured for an air flow to flow from the first end to the second end of the elongated cylindrical shape cartridge, and/or vice versa.
    Type: Application
    Filed: November 27, 2020
    Publication date: January 19, 2023
    Applicant: JT International SA
    Inventors: Sebastian Schäfer, Johannes Dänner, Thomas Johaentges
  • Publication number: 20220277477
    Abstract: Systems and methods for image-based guidance for facilitating navigation of tubular networks. A region of interest in three-dimensional image data may first be segmented. An endoscopic instrument may be detected in two-dimensional intraoperative image data of the region of interest. A centerline of the detected endoscopic instrument may then be determined. The endoscopic instrument and the centerline may be backprojected to generate a three-dimensional backprojected volume. A device path of the endoscopic instrument may be generated based at least in part on the three-dimensional backprojected volume and the three-dimensional image data.
    Type: Application
    Filed: May 20, 2022
    Publication date: September 1, 2022
    Inventors: Sebastian Schafer, Randolph M. Setser, Maddalena Strumia
  • Patent number: 11373330
    Abstract: Systems and methods for image-based guidance for facilitating navigation of tubular networks. A region of interest in three-dimensional image data may first be segmented. An endoscopic instrument may be detected in two-dimensional intraoperative image data of the region of interest. A centerline of the detected endoscopic instrument may then be determined. The endoscopic instrument and the centerline may be backprojected to generate a three-dimensional backprojected volume. A device path of the endoscopic instrument may be generated based at least in part on the three-dimensional backprojected volume and the three-dimensional image data.
    Type: Grant
    Filed: March 27, 2018
    Date of Patent: June 28, 2022
    Assignee: Siemens Healthcare GmbH
    Inventors: Sebastian Schafer, Randolph M. Setser, Maddalena Strumia
  • Patent number: 11373310
    Abstract: For a particularly comprehensive identification of hollow organ systems, a method is provided for producing a digital subtraction angiography of a hollow organ system of a patient. The method includes: providing mask image data recorded by an X-ray device; providing at least first fill image data recorded by the X-ray device, which has been recorded during an at least partial filling of the hollow organ system with a contrast agent; starting from a first intravenous and a second intraarterial contrast agent injection following in time; ascertaining at least first subtraction image data by subtracting the mask image data from the at least first fill image data; ascertaining final subtraction image data from the at least first subtraction image data; and segmenting the final subtraction image data and assigning the pixels or voxels of the final subtraction image data to at least two different intensity classes based on their respective intensity value.
    Type: Grant
    Filed: August 27, 2020
    Date of Patent: June 28, 2022
    Assignee: Siemens Healthcare GmbH
    Inventors: Markus Kowarschik, Sebastian Schafer
  • Patent number: 11317875
    Abstract: Described herein are technologies for facilitating reconstruction of flow data. In accordance with one aspect, the framework receives a four-dimensional projection image dataset and registers one or more pairs of temporally adjacent projection images in the image dataset. Two-dimensional flow maps may be determined based on the registered pairs. The framework may then sort the two-dimensional flow maps according to heart phases, and reconstruct a three-dimensional flow map based on the sorted two-dimensional flow maps.
    Type: Grant
    Filed: September 20, 2017
    Date of Patent: May 3, 2022
    Assignee: Siemens Healthcare GmbH
    Inventors: Sebastian Schafer, Sonja Gehrisch, Markus Kowarschik, Christopher Rohkohl, Kevin Royalty
  • Publication number: 20210228169
    Abstract: An inverse visualization of a time-resolved angiographic image data set of a vascular system of a patient that was recorded by a medical imager during the flow of a contrast medium through the vascular system is provided. The time-resolved angiographic image data set of the vascular system has a temporal sequence of frames of the vascular system corresponding to the contrast medium filling process. A data set from bolus arrival times for each pixel or voxel is determined. The bolus arrival time corresponds to the time in the temporal sequence at which a predetermined contrast enhancement due to the contrast medium filling first occurs. A data set of temporally inverted bolus arrival times with respect to the contrast medium filling is determined for each pixel or voxel, resulting in a temporally inverted sequence of frames with respect to the contrast medium filling. The time-resolved angiographic image data set in the temporally inverted sequence is visualized.
    Type: Application
    Filed: January 19, 2021
    Publication date: July 29, 2021
    Inventors: Markus Kowarschik, Sebastian Schafer
  • Patent number: 10977792
    Abstract: A framework for quantitative evaluation of time-varying data. In accordance with one aspect, the framework delineates a volume of interest in a four-dimensional (4D) Digital Subtraction Angiography (DSA) dataset (204). The framework then extracts a centerline of the volume of interest (206). In response to receiving one or more user-selected points along the centerline (208), the framework determines at least one blood dynamics measure associated with the one or more user-selected points (210), and generates a visualization based on the blood dynamics measure (212).
    Type: Grant
    Filed: February 23, 2018
    Date of Patent: April 13, 2021
    Assignee: Siemens Healthcare GmbH
    Inventors: Sebastian Schafer, Markus Kowarschik, Sonja Gehrisch, Kevin Royalty, Christopher Rohkohl
  • Publication number: 20210090256
    Abstract: For a particularly comprehensive identification of hollow organ systems, a method is provided for producing a digital subtraction angiography of a hollow organ system of a patient. The method includes: providing mask image data recorded by an X-ray device; providing at least first fill image data recorded by the X-ray device, which has been recorded during an at least partial filling of the hollow organ system with a contrast agent; starting from a first intravenous and a second intraarterial contrast agent injection following in time; ascertaining at least first subtraction image data by subtracting the mask image data from the at least first fill image data; ascertaining final subtraction image data from the at least first subtraction image data; and segmenting the final subtraction image data and assigning the pixels or voxels of the final subtraction image data to at least two different intensity classes based on their respective intensity value.
    Type: Application
    Filed: August 27, 2020
    Publication date: March 25, 2021
    Inventors: Markus Kowarschik, Sebastian Schafer
  • Patent number: 10885961
    Abstract: A memory system includes a memory track including a plurality of magnetic domains having alternating magnetic polarities and positioned along a path, and a plurality of domain walls separating adjacent ones of the plurality of magnetic domains, each one of the domain walls being configured to store data.
    Type: Grant
    Filed: August 13, 2019
    Date of Patent: January 5, 2021
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Dmytro Apalkov, Sebastian Schafer
  • Patent number: 10867375
    Abstract: Systems and methods are provided for image forecasting of image processing. A trained image forecaster may be used to generate a virtual image based on prior actual images. The virtual image may be preprocessed to generate an intermediate image. The intermediate image may then be used to process the next actual image to generate a final image.
    Type: Grant
    Filed: January 30, 2019
    Date of Patent: December 15, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Sebastian Schafer, Abhishek Bafna, John Baumgart, Christian Kaethner, Christopher Rohkohl
  • Patent number: 10825149
    Abstract: A framework for defective pixel correction using adversarial networks. In accordance with one aspect, the framework receives first and second training image datasets. The framework performs adversarial training of a corrector and a classifier with the first and second training image datasets respectively. The corrector may be trained to correct a first input image and the classifier may be trained to recognize whether a second input image is real or generated by the corrector. The framework applies the trained corrector to a current image to correct any defective pixels and generate a corrected image. The corrected image may then be presented.
    Type: Grant
    Filed: August 23, 2018
    Date of Patent: November 3, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Sebastian Schafer, Kevin Royalty, Olivier Pauly
  • Publication number: 20200294565
    Abstract: A memory system includes a memory track including a plurality of magnetic domains having alternating magnetic polarities and positioned along a path, and a plurality of domain walls separating adjacent ones of the plurality of magnetic domains, each one of the domain walls being configured to store data.
    Type: Application
    Filed: August 13, 2019
    Publication date: September 17, 2020
    Inventors: Dmytro Apalkov, Sebastian Schafer
  • Publication number: 20200242744
    Abstract: Systems and methods are provided for image forecasting of image processing. A trained image forecaster may be used to generate a virtual image based on prior actual images. The virtual image may be preprocessed to generate an intermediate image. The intermediate image may then be used to process the next actual image to generate a final image.
    Type: Application
    Filed: January 30, 2019
    Publication date: July 30, 2020
    Inventors: Sebastian Schafer, Abhishek Bafna, John Baumgart, Christian Kaethner, Christopher Rohkohl
  • Patent number: 10727011
    Abstract: The present disclosure relates to a switch assembly for a motor vehicle component, including: an electronic basic body for arranging a contact member; an actuating member for actuating the contact member; a web associated with the actuating member, including a web portion with a web stop; a flexible switching mat having a basic portion for arranging the actuating member and the web; an operating member having an operating portion with an operating stop and an operating counter-stop disposed opposite to the web stop; a support member connected to the basic body or the switching mat having a support portion with a support counter-stop that contacts the operating stop in a non-actuated state of the switch assembly; wherein the web provided on the basic portion is arranged to be spaced apart from the actuating member provided on the basic portion, wherein the web encloses the actuating member at least partially.
    Type: Grant
    Filed: April 3, 2019
    Date of Patent: July 28, 2020
    Assignee: PREH GMBH
    Inventors: Dirk Erdloff, Sebastian Schäfer, Henry Hinterholzinger
  • Patent number: 10702220
    Abstract: The invention relates to a tomography system (TA) comprising a first (QD1) and a second (QD2) beam source-detector pair for capturing one series (A1, A2) of projection image data sets (PB1, PB2) each from one projection angle (W1, W2) each and a volume image production system (VE) for producing a series (AV) of volume images (VB) of a vascular system (GS) while taking into account first confidence values (VW1) of the first pixel values (PW1) and/or while taking into account second confidence values (VW2) of the second pixel values (PW2). The confidence value (VW1, VW2) of a pixel value (PW1, PW2) depends on a pixel-specific traversing length (L) that a projection beam (PS1, PS2) traverses on a path through parts (Gi) of the vascular system (GS) from the first (Q1) or the second (Q2) beam source to a pixel-specific sensor element (S) of the associated first (D1) or second (D2) detector.
    Type: Grant
    Filed: December 9, 2015
    Date of Patent: July 7, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Klaus Klingenbeck, Markus Kowarschik, Christopher Rohkohl, Kevin Royalty, Sebastian Schafer
  • Publication number: 20200193590
    Abstract: A framework for quantitative evaluation of time-varying data. In accordance with one aspect, the framework delineates a volume of interest in a four-dimensional (4D) Digital Subtraction Angiography (DSA) dataset (204). The framework then extracts a centerline of the volume of interest (206). In response to receiving one or more user-selected points along the centerline (208), the framework determines at least one blood dynamics measure associated with the one or more user-selected points (210), and generates a visualization based on the blood dynamics measure (212).
    Type: Application
    Filed: February 23, 2018
    Publication date: June 18, 2020
    Inventors: Sebastian Schafer, Markus Kowarschik, Sonja Gehrisch, Kevin Royalty, Christopher Rohkohl
  • Publication number: 20200065945
    Abstract: A framework for defective pixel correction using adversarial networks. In accordance with one aspect, the framework receives first and second training image datasets. The framework performs adversarial training of a corrector and a classifier with the first and second training image datasets respectively. The corrector may be trained to correct a first input image and the classifier may be trained to recognize whether a second input image is real or generated by the corrector. The framework applies the trained corrector to a current image to correct any defective pixels and generate a corrected image. The corrected image may then be presented.
    Type: Application
    Filed: August 23, 2018
    Publication date: February 27, 2020
    Inventors: Sebastian Schafer, Kevin Royalty, Olivier Pauly