Patents by Inventor Karl Vilhelm Sjöstrand
Karl Vilhelm Sjöstrand 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: 20240127437Abstract: Presented herein are systems and methods that provide for automated analysis of medical images to determine a predicted disease status (e.g., prostate cancer status) and/or a value corresponding to predicted risk of the disease status for a subject. The approaches described herein leverage artificial intelligence (AI) to analyze intensities of voxels in a functional image, such as a PET image, and determine a risk and/or likelihood that a subject's disease, e.g., cancer, is aggressive. The approaches described herein can provide predictions of whether a subject that presents a localized disease has and/or will develop aggressive disease, such as metastatic cancer. These predictions are generated in a fully automated fashion and can be used alone, or in combination with other cancer diagnostic metrics (e.g., to corroborate predictions and assessments or highlight potential errors). As such, they represent a valuable tool in support of improved cancer diagnosis and treatment.Type: ApplicationFiled: December 28, 2023Publication date: April 18, 2024Inventors: Aseem Undvall Anand, Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter
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Patent number: 11948283Abstract: Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, the systems and methods described herein offer improved interactive adjustment of intensity windowing for display of nuclear medicine images. The interactive intensity window selection tools described herein utilize a nonlinear scaling function that maps user adjustments to positions of displayed indicator widgets on a scale to intensity window thresholds. The form of the scaling function increasingly magnifies user adjustments at the upper range of the scale, but remains linear at the lower end. The intensity windowing tools presented herein allow the user to adjust intensity thresholds over a full range of intensities encountered in an image, up to the maximum value, while still preserving fidelity in an important range that includes lower intensities.Type: GrantFiled: April 23, 2020Date of Patent: April 2, 2024Assignee: Progenics Pharmaceuticals, Inc.Inventor: Karl Vilhelm Sjöstrand
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Patent number: 11937962Abstract: Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, in certain embodiments, the systems and methods described herein provide improvements to several image processing steps used for automated analysis of bone scan images for assessing cancer status of a patient. For example, improved approaches for image segmentation, hotspot detection, automated classification of hotspots as representing metastases, and computation of risk indices such as bone scan index (BSI) values are provided.Type: GrantFiled: November 18, 2022Date of Patent: March 26, 2024Assignees: Progenics Pharmaceuticals, Inc., EXINI Diagnostics ABInventors: Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter, Lars Edenbrandt
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Patent number: 11900597Abstract: Presented herein are systems and methods that provide for automated analysis of medical images to determine a predicted disease status (e.g., prostate cancer status) and/or a value corresponding to predicted risk of the disease status for a subject. The approaches described herein leverage artificial intelligence (AI) to analyze intensities of voxels in a functional image, such as a PET image, and determine a risk and/or likelihood that a subject's disease, e.g., cancer, is aggressive. The approaches described herein can provide predictions of whether a subject that presents a localized disease has and/or will develop aggressive disease, such as metastatic cancer. These predictions are generated in a fully automated fashion and can be used alone, or in combination with other cancer diagnostic metrics (e.g., to corroborate predictions and assessments or highlight potential errors). As such, they represent a valuable tool in support of improved cancer diagnosis and treatment.Type: GrantFiled: August 21, 2020Date of Patent: February 13, 2024Assignees: Progenics Pharmaceuticals, Inc., EXINI Diagnostics ABInventors: Aseem Undvall Anand, Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter
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Publication number: 20230410985Abstract: Presented herein are systems and methods that provide semi-automated and/or automated analysis of medical image data to determine and/or convey values of metrics that provide a picture of a patient's risk and/or disease. Technologies described herein include systems and methods for analyzing medical image data to evaluate quantitative metrics that provide snapshots of patient disease burden at particular times and/or for analyzing images taken over time to produce a longitudinal dataset that provides a picture of how a patient's risk and/or disease evolves over time during surveillance and/or in response to treatment. Metrics computed via image analysis tools described herein may themselves be used as quantitative measures of disease burden and/or may be linked to clinical endpoints that seek to measure and/or stratify patient outcomes.Type: ApplicationFiled: June 8, 2023Publication date: December 21, 2023Inventors: Johan Martin Brynolfsson, Hannicka Maria Eleonora Sahlstedt, Jens Filip Andreas Richter, Karl Vilhelm Sjöstrand, Aseem Undvall Anand
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Publication number: 20230205931Abstract: Presented herein are systems and methods that facilitate user review and uploading of files comprising medical images and associated metadata from a local computing device to a network-based image analysis and/or decision support platform. The systems and methods described herein allow image upload to be performed in a secure fashion that prevents the network-based platform from accessing sensitive data as it is prepared for upload. Prior to file upload, sensitive data elements are flagged and their values removed and/or masked. Notably, the approaches described herein provide intuitive graphical user interface (GUI) tools that allow a user, such as a medical practitioner or researcher, to review not only the images and metadata in the files that they plan to upload, but also to review and control the process by which sensitive data elements are removed and/masked, thereby confirming that all files are free of sensitive information prior to upload.Type: ApplicationFiled: November 30, 2022Publication date: June 29, 2023Inventor: Karl Vilhelm Sjöstrand
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Publication number: 20230148980Abstract: Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, in certain embodiments, the systems and methods described herein provide improvements to several image processing steps used for automated analysis of bone scan images for assessing cancer status of a patient. For example, improved approaches for image segmentation, hotspot detection, automated classification of hotspots as representing metastases, and computation of risk indices such as bone scan index (BSI) values are provided.Type: ApplicationFiled: November 18, 2022Publication date: May 18, 2023Inventors: Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter, Lars Edenbrandt
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Patent number: 11564621Abstract: Presented herein are systems and methods that provide for automated analysis of medical images to determine a predicted disease status (e.g., prostate cancer status) and/or a value corresponding to predicted risk of the disease status for a subject. The approaches described herein leverage artificial intelligence (AI) to analyze intensities of voxels in a functional image, such as a PET image, and determine a risk and/or likelihood that a subject's disease, e.g., cancer, is aggressive. The approaches described herein can provide predictions of whether a subject that presents a localized disease has and/or will develop aggressive disease, such as metastatic cancer. These predictions are generated in a fully automated fashion and can be used alone, or in combination with other cancer diagnostic metrics (e.g., to corroborate predictions and assessments or highlight potential errors). As such, they represent a valuable tool in support of improved cancer diagnosis and treatment.Type: GrantFiled: January 6, 2020Date of Patent: January 31, 2023Assignees: Progenies Pharmacenticals, Inc., EXINI Diagnostics ABInventors: Aseem Undvall Anand, Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter
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Patent number: 11544407Abstract: Presented herein are systems and methods that facilitate user review and uploading of files comprising medical images and associated metadata from a local computing device to a network-based image analysis and/or decision support platform. The systems and methods described herein allow image upload to be performed in a secure fashion that prevents the network-based platform from accessing sensitive data as it is prepared for upload. Prior to file upload, sensitive data elements are flagged and their values removed and/or masked. Notably, the approaches described herein provide intuitive graphical user interface (GUI) tools that allow a user, such as a medical practitioner or researcher, to review not only the images and metadata in the files that they plan to upload, but also to review and control the process by which sensitive data elements are removed and/masked, thereby confirming that all files are free of sensitive information prior to upload.Type: GrantFiled: September 25, 2020Date of Patent: January 3, 2023Assignee: Progenics Pharmaceuticals, Inc.Inventor: Karl Vilhelm Sjöstrand
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Patent number: 11534125Abstract: Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, in certain embodiments, the systems and methods described herein provide improvements to several image processing steps used for automated analysis of bone scan images for assessing cancer status of a patient. For example, improved approaches for image segmentation, hotspot detection, automated classification of hotspots as representing metastases, and computation of risk indices such as bone scan index (BSI) values are provided.Type: GrantFiled: April 23, 2020Date of Patent: December 27, 2022Assignees: Progenies Pharmaceuticals, Inc., EXINI Diagnostics ABInventors: Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter, Lars Edenbrandt
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Publication number: 20220398724Abstract: Presented herein are systems and methods that provide for automated analysis of medical images to determine a predicted disease status (e.g., prostate cancer status) and/or a value corresponding to predicted risk of the disease status for a subject. The approaches described herein leverage artificial intelligence (AI) to analyze intensities of voxels in a functional image, such as a PET image, and determine a risk and/or likelihood that a subject's disease, e.g., cancer, is aggressive. The approaches described herein can provide predictions of whether a subject that presents a localized disease has and/or will develop aggressive disease, such as metastatic cancer. These predictions are generated in a fully automated fashion and can be used alone, or in combination with other cancer diagnostic metrics (e.g., to corroborate predictions and assessments or highlight potential errors). As such, they represent a valuable tool in support of improved cancer diagnosis and treatment.Type: ApplicationFiled: August 21, 2020Publication date: December 15, 2022Inventors: Aseem Undvall Anand, Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter
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Publication number: 20220180487Abstract: Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, the systems and methods described herein offer improved interactive adjustment of intensity windowing for display of nuclear medicine images. The interactive intensity window selection tools described herein utilize a nonlinear scaling function that maps user adjustments to positions of displayed indicator widgets on a scale to intensity window thresholds. The form of the scaling function increasingly magnifies user adjustments at the upper range of the scale, but remains linear at the lower end. The intensity windowing tools presented herein allow the user to adjust intensity thresholds over a full range of intensities encountered in an image, up to the maximum value, while still preserving fidelity in an important range that includes lower intensities.Type: ApplicationFiled: April 23, 2020Publication date: June 9, 2022Inventor: Karl Vilhelm Sjöstrand
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Patent number: 10973486Abstract: Presented herein are systems and methods that provide for automated analysis of three-dimensional (3D) medical images of a subject in order to automatically identify specific 3D volumes within the 3D images that correspond to specific organs and/or tissue. In certain embodiments, the accurate identification of one or more such volumes can be used to determine quantitative metrics that measure uptake of radiopharmaceuticals in particular organs and/or tissue regions. These uptake metrics can be used to assess disease state in a subject, determine a prognosis for a subject, and/or determine efficacy of a treatment modality.Type: GrantFiled: June 7, 2018Date of Patent: April 13, 2021Assignees: Progenics Pharmaceuticals, Inc., EXINI Diagnostics ABInventors: Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter, Kerstin Elsa Maria Johnsson, Erik Konrad Gjertsson
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Publication number: 20210093249Abstract: Presented herein are systems and methods that provide for automated analysis of medical images to determine a predicted disease status (e.g., prostate cancer status) and/or a value corresponding to predicted risk of the disease status for a subject. The approaches described herein leverage artificial intelligence (AI) to analyze intensities of voxels in a functional image, such as a PET image, and determine a risk and/or likelihood that a subject's disease, e.g., cancer, is aggressive. The approaches described herein can provide predictions of whether a subject that presents a localized disease has and/or will develop aggressive disease, such as metastatic cancer. These predictions are generated in a fully automated fashion and can be used alone, or in combination with other cancer diagnostic metrics (e.g., to corroborate predictions and assessments or highlight potential errors). As such, they represent a valuable tool in support of improved cancer diagnosis and treatment.Type: ApplicationFiled: January 6, 2020Publication date: April 1, 2021Inventors: Aseem Undvall Anand, Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter
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Publication number: 20200342600Abstract: Presented herein are systems and methods that provide for automated analysis of three-dimensional (3D) medical images of a subject in order to automatically identify specific 3D volumes within the 3D images that correspond to specific organs and/or tissue. In certain embodiments, the accurate identification of one or more such volumes can be used to determine quantitative metrics that measure uptake of radiopharmaceuticals in particular organs and/or tissue regions. These uptake metrics can be used to assess disease state in a subject, determine a prognosis for a subject, and/or determine efficacy of a treatment modality.Type: ApplicationFiled: January 7, 2019Publication date: October 29, 2020Inventors: Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter, Kerstin Elsa Maria Johnsson, Erik Konrad Gjertsson
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Publication number: 20200337658Abstract: Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, in certain embodiments, the systems and methods described herein provide improvements to several image processing steps used for automated analysis of bone scan images for assessing cancer status of a patient. For example, improved approaches for image segmentation, hotspot detection, automated classification of hotspots as representing metastases, and computation of risk indices such as bone scan index (BSI) values are provided.Type: ApplicationFiled: April 23, 2020Publication date: October 29, 2020Inventors: Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter, Lars Edenbrandt
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Publication number: 20190209116Abstract: Presented herein are systems and methods that provide for automated analysis of three-dimensional (3D) medical images of a subject in order to automatically identify specific 3D volumes within the 3D images that correspond to specific organs and/or tissue. In certain embodiments, the accurate identification of one or more such volumes can be used to determine quantitative metrics that measure uptake of radiopharmaceuticals in particular organs and/or tissue regions. These uptake metrics can be used to assess disease state in a subject, determine a prognosis for a subject, and/or determine efficacy of a treatment modality.Type: ApplicationFiled: June 7, 2018Publication date: July 11, 2019Inventors: Karl Vilhelm Sjöstrand, Jens Filip Andreas Richter, Kerstin Elsa Maria Johnsson, Erik Konrad Gjertsson