Patents by Inventor Zhongle Wu
Zhongle Wu 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: 20240013388Abstract: Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.Type: ApplicationFiled: September 22, 2023Publication date: January 11, 2024Inventors: Timothy A. FONTE, Leo J. GRADY, Zhongle WU, Michiel SCHAAP, Stanley C. HUNLEY, Souma SENGUPTA, Sophie KHEM
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Patent number: 11803965Abstract: Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.Type: GrantFiled: May 9, 2022Date of Patent: October 31, 2023Assignee: HeartFlow, Inc.Inventors: Timothy A. Fonte, Leo J. Grady, Zhongle Wu, Michiel Schaap, Stanley C. Hunley, Souma Sengupta, Sophie Khem
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Publication number: 20230147759Abstract: A method to culling parts of a 3D reconstruction volume is provided. The method makes available to a wide variety of mobile XR applications fresh, accurate and comprehensive 3D reconstruction data with low usage of computational resources and storage spaces. The method includes culling parts of the 3D reconstruction volume against a depth image. The depth image has a plurality of pixels, each of which represents a distance to a surface in a scene. In some embodiments, the method includes culling parts of the 3D reconstruction volume against a frustum. The frustum is derived from a field of view of an image sensor, from which image data to create the 3D reconstruction is obtained.Type: ApplicationFiled: January 4, 2023Publication date: May 11, 2023Applicant: Magic Leap, Inc.Inventors: Frank Thomas Steinbrücker, David Geoffrey Molyneaux, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Patent number: 11580705Abstract: A method to culling parts of a 3D reconstruction volume is provided. The method makes available to a wide variety of mobile XR applications fresh, accurate and comprehensive 3D reconstruction data with low usage of computational resources and storage spaces. The method includes culling parts of the 3D reconstruction volume against a depth image. The depth image has a plurality of pixels, each of which represents a distance to a surface in a scene. In some embodiments, the method includes culling parts of the 3D reconstruction volume against a frustum. The frustum is derived from a field of view of an image sensor, from which image data to create the 3D reconstruction is obtained.Type: GrantFiled: April 26, 2021Date of Patent: February 14, 2023Assignee: Magic Leap, Inc.Inventors: Frank Thomas Steinbrücker, David Geoffrey Molyneaux, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Patent number: 11494904Abstract: Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.Type: GrantFiled: June 16, 2020Date of Patent: November 8, 2022Assignee: HeartFlow, Inc.Inventors: Timothy A. Fonte, Leo Grady, Zhongle Wu, Michiel Schaap, Stanley C. Hunley, Souma Sengupta, Sophie Khem
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Publication number: 20220277446Abstract: Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.Type: ApplicationFiled: May 9, 2022Publication date: September 1, 2022Inventors: Timothy A. FONTE, Leo J. GRADY, Zhongle WU, Michiel SCHAAP, Stanley C. HUNLEY, Souma SENGUPTA, Sophie KHEM
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Patent number: 11398081Abstract: An augmented reality/mixed reality system that provides a more immersive user experience. That experience is provided with increased speed of update for occlusion data by using depth sensor data augmented with lower-level reconstruction data. When operating in real-time dynamic environments, changes in the physical world can be reflected quickly in the occlusion data. Occlusion rendering using live depth data augmented with lower-level 3D reconstruction data, such as a raycast point cloud, can greatly reduce the latency for visual occlusion processing. Generating occlusion data in this way may provide faster operation of an XR system using less computing resources and enabling the system to be packaged in a battery operated wearable device.Type: GrantFiled: December 17, 2020Date of Patent: July 26, 2022Assignee: Magic Leap, Inc.Inventors: David Geoffrey Molyneaux, Frank Thomas Steinbrücker, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Patent number: 11321924Abstract: A method to efficiently update and manage outputs of real time or offline 3D reconstruction and scanning in a mobile device having limited resource and connection to the Internet is provided. The method makes available to a wide variety of mobile XR applications fresh, accurate and comprehensive 3D reconstruction data, in either single user applications or multi-user applications sharing and updating the same 3D reconstruction data. The method includes a block-based 3D data representation that allows local update and maintains neighbor consistency at the same time, and a multi-layer caching mechanism that retrieves, prefetches, and stores 3D data efficiently for XR applications.Type: GrantFiled: July 9, 2020Date of Patent: May 3, 2022Assignee: Magic Leap, Inc.Inventors: David Geoffrey Molyneaux, Frank Thomas Steinbrücker, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Patent number: 11263820Abstract: A method of operating a computing system to generate a model of an environment represented by a mesh is provided. The method allows to update 3D meshes to client applications in real time with low latency to support on the fly environment changes. The method provides 3D meshes adaptive to different levels of simplification requested by various client applications. The method provides local update, for example, updating the mesh parts that are changed since last update. The method also provides 3D meshes with planarized surfaces to support robust physics simulations. The method includes segmenting a 3D mesh into mesh blocks. The method also includes performing a multi-stage simplification on selected mesh blocks. The multi-stage simplification includes a pre-simplification operation, a planarization operation, and a post-simplification operation.Type: GrantFiled: October 26, 2020Date of Patent: March 1, 2022Assignee: Magic Leap, Inc.Inventors: David Geoffrey Molyneaux, Frank Thomas Steinbrücker, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Publication number: 20210248829Abstract: A method to culling parts of a 3D reconstruction volume is provided. The method makes available to a wide variety of mobile XR applications fresh, accurate and comprehensive 3D reconstruction data with low usage of computational resources and storage spaces. The method includes culling parts of the 3D reconstruction volume against a depth image. The depth image has a plurality of pixels, each of which represents a distance to a surface in a scene. In some embodiments, the method includes culling parts of the 3D reconstruction volume against a frustum. The frustum is derived from a field of view of an image sensor, from which image data to create the 3D reconstruction is obtained.Type: ApplicationFiled: April 26, 2021Publication date: August 12, 2021Applicant: Magic Leap, Inc.Inventors: Frank Thomas Steinbrücker, David Geoffrey Molyneaux, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Patent number: 11024095Abstract: A method to culling parts of a 3D reconstruction volume is provided. The method makes available to a wide variety of mobile XR applications fresh, accurate and comprehensive 3D reconstruction data with low usage of computational resources and storage spaces. The method includes culling parts of the 3D reconstruction volume against a depth image. The depth image has a plurality of pixels, each of which represents a distance to a surface in a scene. In some embodiments, the method includes culling parts of the 3D reconstruction volume against a frustum. The frustum is derived from a field of view of an image sensor, from which image data to create the 3D reconstruction is obtained.Type: GrantFiled: March 4, 2020Date of Patent: June 1, 2021Assignee: Magic Leap, Inc.Inventors: Frank Thomas Steinbrücker, David Geoffrey Molyneaux, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Publication number: 20210142581Abstract: An augmented reality/mixed reality system that provides a more immersive user experience. That experience is provided with increased speed of update for occlusion data by using depth sensor data augmented with lower-level reconstruction data. When operating in real-time dynamic environments, changes in the physical world can be reflected quickly in the occlusion data. Occlusion rendering using live depth data augmented with lower-level 3D reconstruction data, such as a raycast point cloud, can greatly reduce the latency for visual occlusion processing. Generating occlusion data in this way may provide faster operation of an XR system using less computing resources and enabling the system to be packaged in a battery operated wearable device.Type: ApplicationFiled: December 17, 2020Publication date: May 13, 2021Applicant: MAGIC LEAP, INC.Inventors: David Geoffrey Molyneaux, Frank Thomas Steinbrücker, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Patent number: 10937246Abstract: A method of operating a computing system to generate a model of an environment represented by a mesh is provided. The method allows to update 3D meshes to client applications in real time with low latency to support on the fly environment changes. The method provides 3D meshes adaptive to different levels of simplification requested by various client applications. The method provides local update, for example, updating the mesh parts that are changed since last update. The method also provides 3D meshes with planarized surfaces to support robust physics simulations. The method includes segmenting a 3D mesh into mesh blocks. The method also includes performing a multi-stage simplification on selected mesh blocks. The multi-stage simplification includes a pre-simplification operation, a planarization operation, and a post-simplification operation.Type: GrantFiled: December 21, 2018Date of Patent: March 2, 2021Assignee: Magic Leap, Inc.Inventors: David Geoffrey Molyneaux, Frank Thomas Steinbrücker, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Publication number: 20210056763Abstract: A method of operating a computing system to generate a model of an environment represented by a mesh is provided. The method allows to update 3D meshes to client applications in real time with low latency to support on the fly environment changes. The method provides 3D meshes adaptive to different levels of simplification requested by various client applications. The method provides local update, for example, updating the mesh parts that are changed since last update. The method also provides 3D meshes with planarized surfaces to support robust physics simulations. The method includes segmenting a 3D mesh into mesh blocks. The method also includes performing a multi-stage simplification on selected mesh blocks. The multi-stage simplification includes a pre-simplification operation, a planarization operation, and a post-simplification operation.Type: ApplicationFiled: October 26, 2020Publication date: February 25, 2021Applicant: Magic Leap, Inc.Inventors: David Geoffrey MOLYNEAUX, Frank Thomas STEINBRÜCKER, Zhongle WU, Xiaolin WEI, Jianyuan MIN, Yifu ZHANG
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Patent number: 10902679Abstract: An augmented reality/mixed reality system that provides a more immersive user experience. That experience is provided with increased speed of update for occlusion data by using depth sensor data augmented with lower-level reconstruction data. When operating in real-time dynamic environments, changes in the physical world can be reflected quickly in the occlusion data. Occlusion rendering using live depth data augmented with lower-level 3D reconstruction data, such as a raycast point cloud, can greatly reduce the latency for visual occlusion processing. Generating occlusion data in this way may provide faster operation of an XR system using less computing resources and enabling the system to be packaged in a battery operated wearable device.Type: GrantFiled: December 21, 2018Date of Patent: January 26, 2021Assignee: MAGIC LEAP, INC.Inventors: David Geoffrey Molyneaux, Frank Thomas Steinbrücker, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Publication number: 20200342677Abstract: A method to efficiently update and manage outputs of real time or offline 3D reconstruction and scanning in a mobile device having limited resource and connection to the Internet is provided. The method makes available to a wide variety of mobile XR applications fresh, accurate and comprehensive 3D reconstruction data, in either single user applications or multi-user applications sharing and updating the same 3D reconstruction data. The method includes a block-based 3D data representation that allows local update and maintains neighbor consistency at the same time, and a multi-layer caching mechanism that retrieves, prefetches, and stores 3D data efficiently for XR applications.Type: ApplicationFiled: July 9, 2020Publication date: October 29, 2020Applicant: Magic Leap, Inc.Inventors: David Geoffrey MOLYNEAUX, Frank Thomas STEINBRÜCKER, Zhongle WU, Xiaolin WEI, Jianyuan MIN, Yifu ZHANG
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Publication number: 20200311936Abstract: Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.Type: ApplicationFiled: June 16, 2020Publication date: October 1, 2020Inventors: Timothy A. FONTE, Leo GRADY, Zhongle WU, Michiel SCHAAP, Stanley C. HUNLEY, Souma SENGUPTA
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Patent number: 10719931Abstract: Systems and methods are disclosed for assessing the quality of medical images of at least a portion of a patient's anatomy, using a computer system. One method includes receiving one or more images of at least a portion of the patient's anatomy; determining, using a processor of the computer system, one or more image properties of the received images; performing, using a processor of the computer system, anatomic localization or modeling of at least a portion of the patient's anatomy based on the received images; obtaining an identification of one or more image characteristics associated with an anatomic feature of the patient's anatomy based on the anatomic localization or modeling; and calculating, using a processor of the computer system, an image quality score based on the one or more image properties and the one or more image characteristics.Type: GrantFiled: November 3, 2017Date of Patent: July 21, 2020Assignee: HeartFlow, Inc.Inventors: Timothy A. Fonte, Leo Grady, Zhongle Wu, Michiel Schaap, Stanley C. Hunley, Souma Sengupta
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Patent number: 10713852Abstract: A method to efficiently update and manage outputs of real time or offline 3D reconstruction and scanning in a mobile device having limited resource and connection to the Internet is provided. The method makes available to a wide variety of mobile XR applications fresh, accurate and comprehensive 3D reconstruction data, in either single user applications or multi-user applications sharing and updating the same 3D reconstruction data. The method includes a block-based 3D data representation that allows local update and maintains neighbor consistency at the same time, and a multi-layer caching mechanism that retrieves, prefetches, and stores 3D data efficiently for XR applications.Type: GrantFiled: December 21, 2018Date of Patent: July 14, 2020Assignee: Magic Leap, Inc.Inventors: David Geoffrey Molyneaux, Frank Thomas Steinbrucker, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang
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Publication number: 20200202633Abstract: A method to culling parts of a 3D reconstruction volume is provided. The method makes available to a wide variety of mobile XR applications fresh, accurate and comprehensive 3D reconstruction data with low usage of computational resources and storage spaces. The method includes culling parts of the 3D reconstruction volume against a depth image. The depth image has a plurality of pixels, each of which represents a distance to a surface in a scene. In some embodiments, the method includes culling parts of the 3D reconstruction volume against a frustum. The frustum is derived from a field of view of an image sensor, from which image data to create the 3D reconstruction is obtained.Type: ApplicationFiled: March 4, 2020Publication date: June 25, 2020Applicant: Magic Leap, Inc.Inventors: Frank Thomas Steinbrücker, David Geoffrey Molyneaux, Zhongle Wu, Xiaolin Wei, Jianyuan Min, Yifu Zhang