Patents by Inventor Peter Kerstens
Peter Kerstens 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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Publication number: 20230196582Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: ApplicationFiled: February 21, 2023Publication date: June 22, 2023Inventors: Leo GRADY, Peter Kersten PETERSEN, Michiel SCHAAP, David LESAGE
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Publication number: 20230186712Abstract: A method is provided for checking a substrate with a specified luminescent substance incorporated and/or applied areally. A substrate luminescent characteristic value for the substrate is ascertained, for which purpose a number N of luminescence intensity values are captured at respectively different locations on the value document, and the substrate luminescence characteristic value is ascertained in dependence on a rank order of the luminescence intensity values. It can be checked whether the substrate luminescence characteristic value meets a specified criterion.Type: ApplicationFiled: April 28, 2021Publication date: June 15, 2023Inventors: Wolfgang RAUSCHER, Peter KERSTEN, Thomas GIERING
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Patent number: 11666155Abstract: A bed component, for example a mattress or a mattress base, includes a vacuum pump and at least one actuator which is adaptable in its height and/or firmness and has a maximum height in the non-actuated state, wherein the vacuum pump is fluidly connected to the actuator and a vacuum is formed in the actuator by the vacuum pump in the actuated state of the actuator and the height and/or firmness of the actuator is reduced, wherein the vacuum pump is provided in an area of the bed component external to the actuator. Further, a bed including a bed component is shown.Type: GrantFiled: October 6, 2020Date of Patent: June 6, 2023Assignee: Emma Sleep GmbHInventors: John Elengical, Andreas Ebbecke, Nick Kanzler, Peter Kersten, Fabian Laasch, Thomas Weber
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Patent number: 11610318Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: GrantFiled: March 17, 2021Date of Patent: March 21, 2023Assignee: HeartFlow, Inc.Inventors: Leo Grady, Peter Kersten Petersen, Michiel Schaap, David Lesage
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Publication number: 20220383495Abstract: Systems and methods are disclosed for performing probabilistic segmentation in anatomical image analysis, using a computer system. One method includes receiving a plurality of images of an anatomical structure; receiving one or more geometric labels of the anatomical structure; generating a parametrized representation of the anatomical structure based on the one or more geometric labels and the received plurality of images; mapping a region of the parameterized representation to a geometric parameter of the anatomical structure; receiving an image of a patient's anatomy; and generating a probability distribution for a patient-specific segmentation boundary of the patient's anatomy, based on the mapping of the region of the parameterized representation of the anatomical structure to the geometric parameter of the anatomical structure.Type: ApplicationFiled: August 5, 2022Publication date: December 1, 2022Inventors: Peter Kersten PETERSEN, Michiel SCHAAP, Leo GRADY
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Patent number: 11443428Abstract: Systems and methods are disclosed for performing probabilistic segmentation in anatomical image analysis, using a computer system. One method includes receiving a plurality of images of an anatomical structure; receiving one or more geometric labels of the anatomical structure; generating a parameterized representation of the anatomical structure based on the one or more geometric labels and the received plurality of images; mapping a region of the parameterized representation to a geometric parameter of the anatomical structure; receiving an image of a patient's anatomy; and generating a probability distribution for a patient-specific segmentation boundary of the patient's anatomy, based on the mapping of the region of the parameterized representation of the anatomical structure to the geometric parameter of the anatomical structure.Type: GrantFiled: February 13, 2020Date of Patent: September 13, 2022Assignee: HeartFlow, Inc.Inventors: Peter Kersten Petersen, Michiel Schaap, Leo Grady
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Patent number: 11288813Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: GrantFiled: August 11, 2021Date of Patent: March 29, 2022Assignee: HeartFlow, Inc.Inventors: Leo Grady, Peter Kersten Petersen, Michiel Schaap, David Lesage
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Publication number: 20210374969Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: ApplicationFiled: August 11, 2021Publication date: December 2, 2021Inventors: Leo GRADY, Peter Kersten PETERSEN, Michiel SCHAAP, David LESAGE
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Publication number: 20210244195Abstract: A bed component, for example a mattress or a mattress base, includes a vacuum pump and at least one actuator which is adaptable in its height and/or firmness and has a maximum height in the non-actuated state, wherein the vacuum pump is fluidly connected to the actuator and a vacuum is formed in the actuator by the vacuum pump in the actuated state of the actuator and the height and/or firmness of the actuator is reduced, wherein the vacuum pump is provided in an area of the bed component external to the actuator. Further, a bed including a bed component is shown.Type: ApplicationFiled: October 6, 2020Publication date: August 12, 2021Inventors: John ELENGICAL, Andreas EBBECKE, Nick KANZLER, Peter KERSTEN, Fabian LAASCH, Thomas WEBER
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Publication number: 20210225006Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: ApplicationFiled: March 17, 2021Publication date: July 22, 2021Inventors: Leo GRADY, Peter Kersten PETERSEN, Michiel SCHAAP, David LESAGE
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Patent number: 10984535Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: GrantFiled: September 8, 2020Date of Patent: April 20, 2021Assignee: HeartFlow, Inc.Inventors: Leo Grady, Peter Kersten Petersen, Michiel Schaap, David Lesage
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Publication number: 20200402241Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: ApplicationFiled: September 8, 2020Publication date: December 24, 2020Applicant: Heartflow, Inc.Inventors: Leo GRADY, Peter Kersten PETERSEN, Michiel SCHAAP, David LESAGE
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Patent number: 10854339Abstract: Systems and methods are disclosed for associating medical images with a patient. One method includes: receiving two or more medical images of patient anatomy in an electronic storage medium; generating an anatomical model for each of the received medical images; comparing the generated anatomical models; determining a score assessing the likelihood that the two or more medical images belong to the same patient, using the comparison of the generated anatomical models; and outputting the score to an electronic storage medium or display.Type: GrantFiled: April 10, 2019Date of Patent: December 1, 2020Assignee: HeartFlow, Inc.Inventors: Leo Grady, Christopher K. Zarins, Edward Karl Hahn, III, Ying Bai, Sethuraman Sankaran, Peter Kersten Petersen, Michiel Schaap
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Patent number: 10803592Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: GrantFiled: May 9, 2018Date of Patent: October 13, 2020Assignee: Heartflow, Inc.Inventors: Leo Grady, Peter Kersten Petersen, Michiel Schaap, David Lesage
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Publication number: 20200184646Abstract: Systems and methods are disclosed for performing probabilistic segmentation in anatomical image analysis, using a computer system. One method includes receiving a plurality of images of an anatomical structure; receiving one or more geometric labels of the anatomical structure; generating a parameterized representation of the anatomical structure based on the one or more geometric labels and the received plurality of images; mapping a region of the parameterized representation to a geometric parameter of the anatomical structure; receiving an image of a patient's anatomy; and generating a probability distribution for a patient-specific segmentation boundary of the patient's anatomy, based on the mapping of the region of the parameterized representation of the anatomical structure to the geometric parameter of the anatomical structure.Type: ApplicationFiled: February 13, 2020Publication date: June 11, 2020Inventors: Peter Kersten PETERSEN, Michiel SCHAAP, Leo GRADY
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Patent number: 10600181Abstract: Systems and methods are disclosed for performing probabilistic segmentation in anatomical image analysis, using a computer system. One method includes receiving a plurality of images of an anatomical structure; receiving one or more geometric labels of the anatomical structure; generating a parametrized representation of the anatomical structure based on the one or more geometric labels and the received plurality of images; mapping a region of the parameterized representation to a geometric parameter of the anatomical structure; receiving an image of a patient's anatomy; and generating a probability distribution for a patient-specific segmentation boundary of the patient's anatomy, based on the mapping of the region of the parameterized representation of the anatomical structure to the geometric parameter of the anatomical structure.Type: GrantFiled: December 22, 2017Date of Patent: March 24, 2020Assignee: HeartFlow, Inc.Inventors: Peter Kersten Petersen, Michiel Schaap, Leo Grady
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Publication number: 20190237198Abstract: Systems and methods are disclosed for associating medical images with a patient. One method includes: receiving two or more medical images of patient anatomy in an electronic storage medium; generating an anatomical model for each of the received medical images; comparing the generated anatomical models; determining a score assessing the likelihood that the two or more medical images belong to the same patient, using the comparison of the generated anatomical models; and outputting the score to an electronic storage medium or display.Type: ApplicationFiled: April 10, 2019Publication date: August 1, 2019Inventors: Leo GRADY, Christopher K. ZARINS, Edward Karl Hahn, III, Ying Bai, Sethuraman SANKARAN, Peter Kersten Petersen, Michiel SCHAAP
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Patent number: 10304569Abstract: Systems and methods are disclosed for associating medical images with a patient. One method includes: receiving two or more medical images of patient anatomy in an electronic storage medium; generating an anatomical model for each of the received medical images; comparing the generated anatomical models; determining a score assessing the likelihood that the two or more medical images belong to the same patient, using the comparison of the generated anatomical models; and outputting the score to an electronic storage medium or display.Type: GrantFiled: December 2, 2016Date of Patent: May 28, 2019Assignee: HeartFlow, Inc.Inventors: Leo Grady, Christopher Zarins, Edward Karl Hahn, III, Ying Bai, Sethuraman Sankaran, Peter Kersten Petersen, Michiel Schaap
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Publication number: 20180330506Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: ApplicationFiled: May 9, 2018Publication date: November 15, 2018Inventors: Leo GRADY, Peter Kersten Petersen, Michiel SCHAAP, David LESAGE
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Publication number: 20180182101Abstract: Systems and methods are disclosed for performing probabilistic segmentation in anatomical image analysis, using a computer system. One method includes receiving a plurality of images of an anatomical structure; receiving one or more geometric labels of the anatomical structure; generating a parametrized representation of the anatomical structure based on the one or more geometric labels and the received plurality of images; mapping a region of the parameterized representation to a geometric parameter of the anatomical structure; receiving an image of a patient's anatomy; and generating a probability distribution for a patient-specific segmentation boundary of the patient's anatomy, based on the mapping of the region of the parameterized representation of the anatomical structure to the geometric parameter of the anatomical structure.Type: ApplicationFiled: December 22, 2017Publication date: June 28, 2018Inventors: Peter Kersten PETERSEN, Michiel SCHAAP, Leo GRADY