Patents by Inventor Kyle Champley
Kyle Champley 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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Patent number: 11809161Abstract: A system for determining a light intensity field for use in manufacturing a 3D object from a volume of material. The system receives a 3D specification of a 3D geometry for the 3D object that specifies voxels within the volume that contain material that is to be part of the 3D object. The system employs a cost function for effectiveness of a light intensity field in manufacturing the 3D object. The cost function may be an adjoint of an Attenuated Radon Transform that models an energy dose that each voxel would receive during manufacture of the 3D object using the light intensity field. The system applies an optimization technique that employs the cost function to generate a measure of the effectiveness of possible light intensity fields and outputs an indication of a light intensity field that will be effective in manufacturing the 3D object.Type: GrantFiled: July 13, 2020Date of Patent: November 7, 2023Assignees: Lawrence Livermore National Security, LLC, The Regents of the University of CaliforniaInventors: Maxim Shusteff, Kyle Champley, Erika Jo Fong, Hayden Taylor, Chi Chung Li, Trevor Rongey, Jr., Sui Man Luk, Heting Fu, Samira Feili, Joseph Toombs, Hossein Heidari
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Patent number: 11783518Abstract: A system for generating 2D slices of a 3D image of a target volume is provided. The system receives a target sinogram collected during a computed tomography scan of the target volume. The system inputs the target sinogram to a convolutional neural network (CNN) to generate predicted 2D slices of the 3D image. The CNN is trained using training 2D slices of training 3D images. The system initializes 2D slices to the predicted 2D slices. The system reconstructs 2D slices of the 3D image from the target sinogram and the initialized 2D slices.Type: GrantFiled: September 30, 2020Date of Patent: October 10, 2023Assignee: LAWRENCE LIVERMORE NATIONAL SECURITY, LLCInventors: Hyojin Kim, Rushil Anirudh, Kyle Champley
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Patent number: 11741643Abstract: A system for generating a 4D representation of a scene in motion given a sinogram collected from the scene while in motion. The system generates, based on scene parameters, an initial 3D representation of the scene indicating linear attenuation coefficients (LACs) of voxels of the scene. The system generates, based on motion parameters, a 4D motion field indicating motion of the scene. The system generates, based on the initial 3D representation and the 4D motion field, a 4D representation of the scene that is a sequence of 3D representations having LACs. The system generates a synthesized sinogram of the scene from the generated 4D representation. The system adjusts the scene parameters and the motion parameters based on differences between the collected sinogram and the synthesized sinogram. The processing is repeated until the differences satisfy a termination criterion.Type: GrantFiled: March 22, 2021Date of Patent: August 29, 2023Assignees: Lawrence Livermore National Security, LLC, Arizona Board of Regents on Behalf of Arizona State UniversityInventors: Hyojin Kim, Rushil Anirudh, Kyle Champley, Kadri Aditya Mohan, Albert William Reed, Suren Jayasuriya
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Patent number: 11568656Abstract: A system for generating a 3D segmentation of a target volume is provided. The system accesses views of an X-ray scan of a target volume. The system applies a 2D CNN to each view to generate a 2D multi-channel feature vector for each view. The system applies a space carver to generate a 3D channel volume for each channel based on the 2D multi-channel feature vectors. The system then applies a linear combining technique to the 3D channel volumes to generate a 3D multi-label map that represents a 3D segmentation of the target volume.Type: GrantFiled: September 25, 2020Date of Patent: January 31, 2023Assignee: Lawrence Livermore National Security, LLCInventors: Kadri Aditya Mohan, Kyle Champley
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Publication number: 20220301241Abstract: A system for generating a 4D representation of a scene in motion given a sinogram collected from the scene while in motion. The system generates, based on scene parameters, an initial 3D representation of the scene indicating linear attenuation coefficients (LACs) of voxels of the scene. The system generates, based on motion parameters, a 4D motion field indicating motion of the scene. The system generates, based on the initial 3D representation and the 4D motion field, a 4D representation of the scene that is a sequence of 3D representations having LACs. The system generates a synthesized sinogram of the scene from the generated 4D representation. The system adjusts the scene parameters and the motion parameters based on differences between the collected sinogram and the synthesized sinogram. The processing is repeated until the differences satisfy a termination criterion.Type: ApplicationFiled: March 22, 2021Publication date: September 22, 2022Inventors: Hyojin Kim, Rushil Anirudh, Kyle Champley, Kadri Aditya Mohan, Albert William Reed, Suren Jayasuriya
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Publication number: 20220011742Abstract: A system for determining a light intensity field for use in manufacturing a 3D object from a volume of material. The system receives a 3D specification of a 3D geometry for the 3D object that specifies voxels within the volume that contain material that is to be part of the 3D object. The system employs a cost function for effectiveness of a light intensity field in manufacturing the 3D object. The cost function may be an adjoint of an Attenuated Radon Transform that models an energy dose that each voxel would receive during manufacture of the 3D object using the light intensity field. The system applies an optimization technique that employs the cost function to generate a measure of the effectiveness of possible light intensity fields and outputs an indication of a light intensity field that will be effective in manufacturing the 3D object.Type: ApplicationFiled: July 13, 2020Publication date: January 13, 2022Inventors: Maxim Shusteff, Kyle Champley, Erika Jo Fong, Hayden Taylor, Chi Chung Li, Trevor Rongey, JR., Sui Man Luk, Heting Fu, Samira Feili, Joseph Toombs, Hossein Heidari
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Publication number: 20210097258Abstract: A system for generating a 3D segmentation of a target volume is provided. The system accesses views of an X-ray scan of a target volume. The system applies a 2D CNN to each view to generate a 2D multi-channel feature vector for each view. The system applies a space carver to generate a 3D channel volume for each channel based on the 2D multi-channel feature vectors. The system then applies a linear combining technique to the 3D channel volumes to generate a 3D multi-label map that represents a 3D segmentation of the target volume.Type: ApplicationFiled: September 25, 2020Publication date: April 1, 2021Inventors: Kadri Aditya Mohan, Kyle Champley
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Publication number: 20210097737Abstract: A system for generating 2D slices of a 3D image of a target volume is provided. The system receives a target sinogram collected during a computed tomography scan of the target volume. The system inputs the target sinogram to a convolutional neural network (CNN) to generate predicted 2D slices of the 3D image. The CNN is trained using training 2D slices of training 3D images. The system initializes 2D slices to the predicted 2D slices. The system reconstructs 2D slices of the 3D image from the target sinogram and the initialized 2D slices.Type: ApplicationFiled: September 30, 2020Publication date: April 1, 2021Inventors: Hyojin Kim, Rushil Anirudh, Kyle Champley
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Patent number: 10466183Abstract: A system for characterizing the material of an object scanned via a dual-energy computed tomography scanner is provided. The system generates photoelectric and Compton sinograms based on a photoelectric-Compton decomposition of low-energy and high-energy sinograms generated from the scan and based on a scanner spectral response model. The system generates a Compton volume with Compton attenuation coefficients from the Compton sinogram and a photoelectric volume with photoelectric attenuation coefficients from the photoelectric sinogram. The system generates an estimated effective atomic number for a voxel and an estimated electron density for the voxel from the Compton attenuation coefficient and photoelectric coefficient for the voxel and scanner-specific parameters. The system then characterizes the material within the voxel based on the estimated effective atomic number and estimated electron density for the voxel.Type: GrantFiled: October 31, 2016Date of Patent: November 5, 2019Assignee: Lawrence Livermore National Security, LLCInventors: Isaac Seetho, Maurice B. Aufderheide, Stephen G. Azevedo, William D. Brown, Kyle Champley, Daniel Schneberk, G. Patrick Roberson, Jeffrey S. Kallman, Harry E. Martz, Jr., Jerel A. Smith
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Patent number: 10282869Abstract: A CT image reconstruction system is provided that provides a solution to a few-view problem by generating a 3D image from measurements and a forward projection matrix for a CT scan of an object that tends to minimize streaks and other artifacts. The system initially receives measurements and a forward projection matrix for the CT scan. The system during an initial stage generates an initial 3D image based on various constraints so that (1) the reconstruction of the initial 3D image can be perform quickly and (2) the difference between the measurements and the forward projection of the initial 3D image has significantly lower contrast and high frequency content as compared the measurements themselves. The system then during a final stage applies an iterative algorithm to reconstruct the 3D image with the 3D image initialized to the initial 3D image at the beginning of the iterative algorithm.Type: GrantFiled: December 28, 2016Date of Patent: May 7, 2019Assignee: Lawrence Livermore National Security, LLCInventor: Kyle Champley
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Publication number: 20180182128Abstract: A CT image reconstruction system is provided that provides a solution to a few-view problem by generating a 3D image from measurements and a forward projection matrix for a CT scan of an object that tends to minimize streaks and other artifacts. The system initially receives measurements and a forward projection matrix for the CT scan. The system during an initial stage generates an initial 3D image based on various constraints so that (1) the reconstruction of the initial 3D image can be perform quickly and (2) the difference between the measurements and the forward projection of the initial 3D image has significantly lower contrast and high frequency content as compared the measurements themselves. The system then during a final stage applies an iterative algorithm to reconstruct the 3D image with the 3D image initialized to the initial 3D image at the beginning of the iterative algorithm.Type: ApplicationFiled: December 28, 2016Publication date: June 28, 2018Inventor: Kyle Champley
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Publication number: 20180120241Abstract: A system for characterizing the material of an object scanned via a dual-energy computed tomography scanner is provided. The system generates photoelectric and Compton sinograms based on a photoelectric-Compton decomposition of low-energy and high-energy sinograms generated from the scan and based on a scanner spectral response model. The system generates a Compton volume with Compton attenuation coefficients from the Compton sinogram and a photoelectric volume with photoelectric attenuation coefficients from the photoelectric sinogram. The system generates an estimated effective atomic number for a voxel and an estimated electron density for the voxel from the Compton attenuation coefficient and photoelectric coefficient for the voxel and scanner-specific parameters. The system then characterizes the material within the voxel based on the estimated effective atomic number and estimated electron density for the voxel.Type: ApplicationFiled: October 31, 2016Publication date: May 3, 2018Inventors: Isaac Seetho, Maurice B. Aufderheide, Stephen G. Azevedo, William D. Brown, Kyle Champley, Daniel Schneberk, G. Patrick Roberson, Jeffrey S. Kallman, Harry E. Martz, JR., Jerel A. Smith
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Patent number: 8716669Abstract: A method for estimating a line or response in a positron emission tomography scanner having depth of interaction estimation capability. The method utilizes information from both detector modules detecting a coincident event. A joint probability density function combining factors accounting for intermediate Compton scattering interactions and/or a final interaction that may be either a Compton scattering interaction or photoelectric absorption is calculated. In a preferred embodiment, a Bayesian estimation scheme is used to integrate the PDF for all permutations of the measured signal pairs, and the permutation with the largest joint probability is selected to construct the estimated line of response.Type: GrantFiled: October 22, 2009Date of Patent: May 6, 2014Assignee: University of WashingtonInventors: Robert S. Miyaoka, Kyle Champley, Lawrence MacDonald, Thomas K. Lewellen
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Publication number: 20120138804Abstract: A method for estimating a line or response in a positron emission tomography scanner having depth of interaction estimation capability. The method utilizes information from both detector modules detecting a coincident event. A joint probability density function combining factors accounting for intermediate Compton scattering interactions and/or a final interaction that may be either a Compton scattering interaction or photoelectric absorption is calculated. In a preferred embodiment, a Bayesian estimation scheme is used to integrate the PDF for all permutations of the measured signal pairs, and the permutation with the largest joint probability is selected to construct the estimated line of response.Type: ApplicationFiled: October 22, 2009Publication date: June 7, 2012Applicant: UNIVERSITY OF WASHINGTONInventors: Robert S. Miyaoka, Kyle Champley, Lawrence MacDonald, Thomas K. Lewellen