Patents by Inventor Andreas Blumhofer

Andreas Blumhofer 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: 12190522
    Abstract: Disclosed is a computer-implemented method of segmenting a medical patient image using an atlas and relating the segmentation result to a model of possible geometric changes to the segmentation result (e.g. for correcting the position of the segmentation of anatomical structures) which consider for example anatomical limitations. The thus-related segmentation result may be used as a basis for changing and/or correcting the position, shape and/or orientation of at least parts of the segmentation result, e.g. by user interaction. The invention also relates to an atlas data set comprising information such as values of the variables of the model of possible geometric changes in relation to the positions of anatomical structures in the atlas.
    Type: Grant
    Filed: April 25, 2023
    Date of Patent: January 7, 2025
    Assignee: BRAINLAB AG
    Inventors: Jens Schmaler, Andreas Giese, Andreas Blumhofer
  • Patent number: 12112845
    Abstract: A compartmentalized dynamic anatomic atlas is disclosed, comprising static atlas data comprising spatial element data and element representation data, wherein the spatial element data describes spatial properties of a spatial atlas element and wherein the element representation data describes representational properties assignable to the spatial atlas element, the atlas further comprising dynamic atlas data comprising information on a dynamic property which information is respectively linked to the spatial atlas element.
    Type: Grant
    Filed: November 7, 2018
    Date of Patent: October 8, 2024
    Assignee: Brainlab AG
    Inventors: Kajetan Berlinger, Andreas Blumhofer
  • Patent number: 11877809
    Abstract: Disclosed is a computer-implemented of adapting a biomechanical model of an anatomical body part of a patient to a current status of the patient. The method encompasses determination of a currently executed step of a workflow such as a medical intervention, the result of the determination serving as a basis for adapting and/or updating a biomechanical model of an anatomical body part to the corresponding current status of the patient. The determination of the current workflow step may also be used as basis for controlling an imaging device for tracking entities around the patient or for imaging the anatomical body part or acquiring further data or for urging the user to perform a specific action such as acquisition of information using a tracked instrument such as a pointer. The biomechanical model has been generated from atlas data.
    Type: Grant
    Filed: December 18, 2019
    Date of Patent: January 23, 2024
    Assignee: BRAINLAB AG
    Inventors: Stefan Vilsmeier, Andreas Blumhofer, Jens Schmaler, Patrick Hiepe
  • Patent number: 11861846
    Abstract: Disclosed is a computer-implemented methods of determining distributions of corrections for correcting the segmentation of medical image data, determining corrections for correcting the segmentation of medical image data, training a learning algorithm for determining a segmentation of a digital medical image, and determining a relation between an image representation of the anatomical body part in an individual medical image and a label to be associated with the image representation of the anatomical body part in the individual medical image using the trained machine learning algorithm. The methods encompass reading a plurality of corrections to image segmentations, wherein the corrections themselves may have been manually generated, transforming these corrections into a reference system which is not patient-specific such as an atlas reference system, conducting a statistical analysis of the correction, and applying the re-transformed result of the statistical analysis to patient images.
    Type: Grant
    Filed: December 20, 2019
    Date of Patent: January 2, 2024
    Assignee: BRAINLAB AG
    Inventors: Stefan Vilsmeier, Andreas Blumhofer, Jens Schmaler
  • Patent number: 11715212
    Abstract: A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.
    Type: Grant
    Filed: August 9, 2021
    Date of Patent: August 1, 2023
    Assignee: BRAINLAB AG
    Inventors: Kajetan Berlinger, Andreas Blumhofer
  • Patent number: 11669974
    Abstract: Disclosed is a computer-implemented method of segmenting a medical patient image using an atlas and relating the segmentation result to a model of possible geometric changes to the segmentation result (e.g. for correcting the position of the segmentation of anatomical structures) which consider for example anatomical limitations. The thus-related segmentation result may be used as a basis for changing and/or correcting the position, shape and/or orientation of at least parts of the segmentation result, e.g. by user interaction. The invention also relates to an atlas data set comprising information such as values of the variables of the model of possible geometric changes in relation to the positions of anatomical structures in the atlas.
    Type: Grant
    Filed: June 29, 2022
    Date of Patent: June 6, 2023
    Assignee: BRAINLAB AG
    Inventors: Jens Schmaler, Andreas Giese, Andreas Blumhofer
  • Patent number: 11593519
    Abstract: Disclosed is a computer-implemented method for generating an anonymized medical image of an anatomical body part of a patient, a corresponding computer program, a program storage medium storing such a program and a computer for executing the program, as well as a medical system comprising an electronic data storage device and the aforementioned computer. The disclosed method encompasses establishing a mapping from a patient image onto an atlas, changing that mapping, and applying the inverse of the changed mapping to the atlas in order to transform image content from the atlas to the patient image in order to achieve a deformed and thereby anonymised appearance of the patient image.
    Type: Grant
    Filed: April 7, 2021
    Date of Patent: February 28, 2023
    Assignee: BRAINLAB AG
    Inventors: Andreas Blumhofer, Jens Schmaler
  • Publication number: 20230016429
    Abstract: Disclosed is a computer-implemented of adapting a biomechanical model of an anatomical body part of a patient to a current status of the patient. The method encompasses determination of a currently executed step of a workflow such as a medical intervention, the result of the determination serving as a basis for adapting and/or updating a biomechanical model of an anatomical body part to the corresponding current status of the patient. The determination of the current workflow step may also be used as basis for controlling an imaging device for tracking entities around the patient or for imaging the anatomical body part or acquiring further data or for urging the user to perform a specific action such as acquisition of information using a tracked instrument such as a pointer. The biomechanical model has been generated from atlas data.
    Type: Application
    Filed: December 14, 2020
    Publication date: January 19, 2023
    Inventors: Stefan Vilsmeier, Andreas Blumhofer, Jens SCHMALER, Patrick Hiepe
  • Patent number: 11393098
    Abstract: Disclosed is a computer-implemented method of segmenting a medical patient image using an atlas and relating the segmentation result to a model of possible geometric changes to the segmentation result (e.g. for correcting the position of the segmentation of anatomical structures) which consider for example anatomical limitations. The thus-related segmentation result may be used as a basis for changing and/or correcting the position, shape and/or orientation of at least parts of the segmentation result, e.g. by user interaction. The invention also relates to an atlas data set comprising information such as values of the variables of the model of possible geometric changes in relation to the positions of anatomical structures in the atlas.
    Type: Grant
    Filed: February 27, 2018
    Date of Patent: July 19, 2022
    Assignee: Brainlab AG
    Inventors: Jens Schmaler, Andreas Giese, Andreas Blumhofer
  • Publication number: 20220122266
    Abstract: Disclosed is a computer-implemented methods of determining distributions of corrections for correcting the segmentation of medical image data, determining corrections for correcting the segmentation of medical image data, training a learning algorithm for determining a segmentation of a digital medical image, and determining a relation between an image representation of the anatomical body part in an individual medical image and a label to be associated with the image representation of the anatomical body part in the individual medical image using the trained machine learning algorithm. The methods encompass reading a plurality of corrections to image segmentations, wherein the corrections themselves may have been manually generated, transforming these corrections into a reference system which is not patient-specific such as an atlas reference system, conducting a statistical analysis of the correction, and applying the re-transformed result of the statistical analysis to patient images.
    Type: Application
    Filed: December 20, 2019
    Publication date: April 21, 2022
    Inventors: Stefan Vilsmeier, Andreas Blumhofer, Jens Schmaler
  • Publication number: 20220110693
    Abstract: Disclosed is a computer-implemented of adapting a biomechanical model of an anatomical body part of a patient to a current status of the patient. The method encompasses determination of a currently executed step of a workflow such as a medical intervention, the result of the determination serving as a basis for adapting and/or updating a biomechanical model of an anatomical body part to the corresponding current status of the patient. The determination of the current workflow step may also be used as basis for controlling an imaging device for tracking entities around the patient or for imaging the anatomical body part or acquiring further data or for urging the user to perform a specific action such as acquisition of information using a tracked instrument such as a pointer. The biomechanical model has been generated from atlas data.
    Type: Application
    Filed: December 18, 2019
    Publication date: April 14, 2022
    Inventors: Stefan Vilsmeier, Andreas Blumhofer, Jens Schmaler, Patrick Hiepe
  • Publication number: 20220076430
    Abstract: A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.
    Type: Application
    Filed: August 9, 2021
    Publication date: March 10, 2022
    Inventors: Kajetan Berlinger, Andreas Blumhofer
  • Publication number: 20210391061
    Abstract: A compartmentalized dynamic anatomic atlas is disclosed, comprising static atlas data comprising spatial element data and element representation data, wherein the spatial element data describes spatial properties of a spatial atlas element and wherein the element representation data describes representational properties assignable to the spatial atlas element, the atlas further comprising dynamic atlas data comprising information on a dynamic property which information is respectively linked to the spatial atlas element.
    Type: Application
    Filed: November 7, 2018
    Publication date: December 16, 2021
    Inventors: Kajetan Berlinger, Andreas Blumhofer
  • Patent number: 11087475
    Abstract: A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.
    Type: Grant
    Filed: May 30, 2017
    Date of Patent: August 10, 2021
    Assignee: BRAINLAB AG
    Inventors: Kajetan Berlinger, Andreas Blumhofer
  • Patent number: 10977390
    Abstract: Disclosed is a computer-implemented method for generating an anonymized medical image of an anatomical body part of a patient, a corresponding computer program, a program storage medium storing such a program and a computer for executing the program, as well as a medical system comprising an electronic data storage device and the aforementioned computer. The disclosed method encompasses establishing a mapping from a patient image onto an atlas, changing that mapping, and applying the inverse of the changed mapping to the atlas in order to transform image content from the atlas to the patient image in order to achieve a deformed and thereby anonymised appearance of the patient image.
    Type: Grant
    Filed: February 28, 2019
    Date of Patent: April 13, 2021
    Assignee: BRAINLAB AG
    Inventors: Andreas Blumhofer, Jens Schmaler
  • Patent number: 10832423
    Abstract: Disclosed is a computer-implemented method of determining an atlas element. The method encompasses acquiring model image data that describes at least one fixed element (an anatomical element such as an anatomical body part, for example, a rib). Patient image data is acquired that describes an improvable element (an anatomical element such as an anatomical body part, for example heart). Region data is acquired, for example by assigning a homogeneous grey value to a region of the model image. The patient image is matched to the model image, wherein no matching is performed within the region. A transformation for mapping the improvable element into the region is determined based on matching. Several patient images are then mapped into the region and superimposed. An atlas element is determined based on the superimposed images. The method may be repeated using the determined anatomical atlas element as a constraint to detect further atlas elements.
    Type: Grant
    Filed: January 8, 2018
    Date of Patent: November 10, 2020
    Assignee: Brainlab AG
    Inventors: Mona Frommert, Robert Lucht, Andreas Blumhofer
  • Publication number: 20200118275
    Abstract: A dynamic anatomic atlas is disclosed, comprising static atlas data describing atlas segments and dynamic atlas data comprising information on a dynamic property which information is respectively linked to the atlas segments.
    Type: Application
    Filed: May 30, 2017
    Publication date: April 16, 2020
    Inventors: Kajetan Berlinger, Andreas Blumhofer
  • Patent number: 10610124
    Abstract: A data processing method for determining a path of a neural fibre in a patient, comprising the steps of: a) acquiring an atlas dataset representing an atlas of a fibrous structure comprising the neural fibre b) acquiring a nerve indicating dataset comprising information suitable for identifying the neural fibre in the patient c) calculating a matched atlas dataset by registering the atlas dataset with the nerve indicating dataset d) obtaining a generic path of the neural fibre from the matched atlas dataset e) defining a constraining volume in the patient around the generic path, the constraining volume having at least two end surfaces on which the generic path ends and f) determining the path of the neural fibre between end surfaces using a probabilistic approach, wherein the determined path lies completely within the constraining volume.
    Type: Grant
    Filed: August 9, 2012
    Date of Patent: April 7, 2020
    Assignee: Brainlab AG
    Inventors: Rainer Lachner, Andreas Blumhofer
  • Patent number: 10417762
    Abstract: A matching transformation is determined for matching a patient image set of images of an anatomical body structure of a patient with an atlas image set of images of a general anatomical structure including anatomical atlas elements. Atlas spatial information containing spatial information on the general anatomical structure, and element representation information are obtained. The element representation information describes representation data sets which contain information on representations of the plurality of atlas elements in the atlas images to be determined are obtained, and also describes a determination rule for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets. Patient data is acquired by acquiring the patient image set and the parameter sets which are respectively associated with the images of the patient image set.
    Type: Grant
    Filed: May 30, 2017
    Date of Patent: September 17, 2019
    Assignee: Brainlab AG
    Inventor: Andreas Blumhofer
  • Patent number: 10402971
    Abstract: A matching transformation is determined for matching a patient image set of images of an anatomical body structure of a patient with an atlas image set of images of a general anatomical structure including anatomical atlas elements. Atlas spatial information containing spatial information on the general anatomical structure, and element representation information are obtained. The element representation information describes representation data sets which contain information on representations of the plurality of atlas elements in the atlas images to be determined are obtained, and also describes a determination rule for determining respective representation data sets for respective atlas elements in accordance with different respective parameter sets. Patient data is acquired by acquiring the patient image set and the parameter sets which are respectively associated with the images of the patient image set.
    Type: Grant
    Filed: May 30, 2017
    Date of Patent: September 3, 2019
    Assignee: Brainlab AG
    Inventor: Andreas Blumhofer