Patents by Inventor Dieter Seghers
Dieter Seghers 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: 11776172Abstract: Example methods and systems for tomographic data analysis are provided. One example method may comprise: obtaining first three-dimensional (3D) feature volume data and processing the first 3D feature volume data using an AI engine that includes multiple first processing layers, an interposing forward-projection module and multiple second processing layers. Example processing using the AI engine may involve: generating second 3D feature volume data by processing the first 3D feature volume data using the multiple first processing layers, transforming the second 3D volume data into 2D feature data using the forward-projection module and generating analysis output data by processing the 2D feature data using the multiple second processing layers.Type: GrantFiled: April 14, 2022Date of Patent: October 3, 2023Inventors: Pascal Paysan, Benjamin M Haas, Janne Nord, Sami Petri Perttu, Dieter Seghers, Joakim Pyyry
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Patent number: 11436766Abstract: Example methods and systems for tomographic image reconstruction are provided. One example method may comprise: obtaining two-dimensional (2D) projection data and processing the 2D projection data using the AI engine that includes multiple first processing layers, an interposing back-projection module and multiple second processing layers. Example processing using the AI engine may involve: generating 2D feature data by processing the 2D projection data using the multiple first processing layers, reconstructing first three-dimensional (3D) feature volume data from the 2D feature data using the back-projection module; and generating second 3D feature volume data by processing the first 3D feature volume data using the multiple second processing layers.Type: GrantFiled: December 20, 2019Date of Patent: September 6, 2022Inventors: Pascal Paysan, Benjamin M Haas, Janne Nord, Sami Petri Perttu, Dieter Seghers, Joakim Pyyry
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Patent number: 11386592Abstract: Example methods and systems for tomographic data analysis are provided. One example method may comprise: obtaining first three-dimensional (3D) feature volume data and processing the first 3D feature volume data using an AI engine that includes multiple first processing layers, an interposing forward-projection module and multiple second processing layers. Example processing using the AI engine may involve: generating second 3D feature volume data by processing the first 3D feature volume data using the multiple first processing layers, transforming the second 3D volume data into 2D feature data using the forward-projection module and generating analysis output data by processing the 2D feature data using the multiple second processing layers.Type: GrantFiled: December 20, 2019Date of Patent: July 12, 2022Inventors: Pascal Paysan, Benjamin M Haas, Janne Nord, Sami Petri Perttu, Dieter Seghers, Joakim Pyyry
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Patent number: 11173324Abstract: Reconstruction of projection images of a CBCT scan is performed by generating simulated projection data, comparing the simulated projection data to the projection images of the CBCT scan, determining a residual volume based on the comparison, and using the residual volume to determine an accurate reconstructed volume. The reconstructed volume can be used to segment a tumor (and potentially one or more organs) and align the tumor to a planning volume (e.g., from a CT scan) to identify changes, such as shape of the tumor and proximity of the tumor to an organ. These changes can be used to update a radiation therapy procedure, such as by altering a radiation treatment plan and fine-tuning a patient position.Type: GrantFiled: April 13, 2018Date of Patent: November 16, 2021Assignees: VARIAN MEDICAL SYSTEMS, INC.Inventors: Pascal Paysan, Marcus Brehm, Adam Wang, Dieter Seghers, Josh Star-Lack
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Patent number: 10524756Abstract: One example method to reduce image artifacts, which may include obtaining measured projection data acquired using an imaging system. The measured projection data is associated with a target object and an artifact source within a radiation field of the imaging system. The method may also include generating virtual projection data associated with the artifact source by forward projecting a model representing one or more physical properties of the artifact source. The method may further include generating corrected projection data based on the measured projection data and the virtual projection data; and reconstructing the corrected projection data into reconstructed volume image data to reduce image artifacts caused by the artifact source.Type: GrantFiled: August 27, 2015Date of Patent: January 7, 2020Assignee: VARIAN MEDICAL SYSTEMS INTERNATIONALInventors: Pascal Paysan, Luis Melo De Carvalho, Dieter Seghers, Marcus Brehm
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Publication number: 20180229056Abstract: Reconstruction of projection images of a CBCT scan is performed by generating simulated projection data, comparing the simulated projection data to the projection images of the CBCT scan, determining a residual volume based on the comparison, and using the residual volume to determine an accurate reconstructed volume. The reconstructed volume can be used to segment a tumor (and potentially one or more organs) and align the tumor to a planning volume (e.g., from a CT scan) to identify changes, such as shape of the tumor and proximity of the tumor to an organ. These changes can be used to update a radiation therapy procedure, such as by altering a radiation treatment plan and fine-tuning a patient position.Type: ApplicationFiled: April 13, 2018Publication date: August 16, 2018Applicants: Varian Medical Systems, Inc., Varian Medical Systems International AGInventors: Pascal Paysan, Marcus Brehm, Adam Wang, Dieter Seghers, Josh Star-Lack
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Patent number: 8229190Abstract: A workflow method for temporal nodule review by registering a reference image R with a floating image F, convolving the reference image R and the floating image with the same window function Hw to generate Rw and Fw, generating a subtraction image by performing subtraction Rw?Fw (g(r)) wherein r represents a voxel (x, y, z) in reference image R, applying a pattern detector to said subtraction image to detect corresponding nodules in reference image R and floating image F and displaying corresponding nodules.Type: GrantFiled: February 8, 2008Date of Patent: July 24, 2012Assignee: Agfa HealthCare N.V.Inventors: Dieter Seghers, Piet Dewaele, Paul Suetens
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Patent number: 8229189Abstract: Method to bring out a temporal difference between corresponding structures in a reference image R and a floating image F by convolving the reference image R and the floating image F with a window function Hw to generate Rw and Fw, applying a non-rigid transformation resulting in a transformation field g(rR) mapping every location rR to a corresponding location rF in the floating image F and generating a subtraction image by performing subtraction Rw(r)?Fw(g(r)) wherein r represents a voxel (x, y, z) in reference image R.Type: GrantFiled: February 8, 2008Date of Patent: July 24, 2012Assignee: Agfa HealthCare N.V.Inventors: Dieter Seghers, Piet Dewaele, Paul Suetens
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Patent number: 8224046Abstract: An image point in a displayed reference image R is selected and a non-rigid transformation resulting in a transformation field g(rR) mapping every location rR to a corresponding location rF in a floating image F is applied, next a rigid body transformation is applied to floating image F such that rF coincides with the selected image point and the transformed floating image is displayed.Type: GrantFiled: February 8, 2008Date of Patent: July 17, 2012Assignee: Agfa HealthCare N.V.Inventors: Dieter Seghers, Piet Dewaele, Paul Suetens
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Patent number: 8165359Abstract: A gray value model is generated encoding photometric knowledge at landmark positions. This step exploits intensity correlation in neighborhoods sampled around landmark positions. A geometric model is generated encoding geometric knowledge between landmarks. This step exploits spatial correlation between landmarks of segmented anatomic entities.Type: GrantFiled: August 18, 2006Date of Patent: April 24, 2012Assignees: Agfa HealthCare N.V., Katholieke Universiteit Leuven, K.U. Leuven R&DInventors: Piet Dewaele, Dirk Loeckx, Dieter Seghers
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Patent number: 8023708Abstract: For each of a number of landmarks in an image an initial position of the landmark is defined. Next a neighborhood around the initial position, comprising a number of candidate locations of the landmark is sampled and a cost is associated with each of the candidate locations. A cost function expressing a weighted sum of overall gray level cost and overall shape cost for all candidate locations is optimized. A segmented anatomic entity is defined as a path through a selected combination of candidate locations for which combination the cost function is optimized.Type: GrantFiled: March 3, 2010Date of Patent: September 20, 2011Assignees: Agfa HealthCare N.V., Katholieke Universiteit Leuven, K.U. Leuven R&DInventors: Piet Dewaele, Dirk Loeckx, Dieter Seghers
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Patent number: 7916917Abstract: For each of a number of landmarks in an image an initial position of the landmark is defined. Next a neighborhood around the initial position, comprising a number of candidate locations of the landmark is sampled and a cost is associated with each of the candidate locations. A cost function expressing a weighted sum of overall gray level cost and overall shape cost for all candidate locations is optimized. A segmented anatomic entity is defined as a path through a selected combination of candidate locations for which combination the cost function is optimized.Type: GrantFiled: January 19, 2010Date of Patent: March 29, 2011Assignee: Agfa HealthCare N.V.Inventors: Piet Dewaele, Dirk Loeckx, Dieter Seghers
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Publication number: 20110026785Abstract: For each of a number of landmarks in an image an initial position of the landmark is defined. Next a neighborhood around the initial position, comprising a number of candidate locations of the landmark is sampled and a cost is associated with each of the candidate locations. A cost function expressing a weighted sum of overall gray level cost and overall shape cost for all candidate locations is optimized. A segmented anatomic entity is defined as a path through a selected combination of candidate locations for which combination the cost function is optimized.Type: ApplicationFiled: March 3, 2010Publication date: February 3, 2011Applicant: Agfa HealthCare N.V.Inventors: Piet Dewaele, Dirk Loeckx, Dieter Seghers
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Publication number: 20080193005Abstract: A workflow method for temporal nodule review by registering a reference image R with a floating image F, convolving the reference image R and the floating image with the same window function Hw to generate Rw and Fw, generating a subtraction image by performing subtraction Rw?Fw (g(r)) wherein r represents a voxel (x, y, z) in reference image R, applying a pattern detector to said subtraction image to detect corresponding nodules in reference image R and floating image F and displaying corresponding nodules.Type: ApplicationFiled: February 8, 2008Publication date: August 14, 2008Applicant: AGFA HEALTHCARE NVInventors: Dieter Seghers, Piet Dewaele, Paul Suetens
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Publication number: 20080193001Abstract: Method to bring out a temporal difference between corresponding structures in a reference image R and a floating image F by convolving the reference image R and the floating image F with a window function Hw to generate Rw and Fw, applying a non-rigid transformation resulting in a transformation field g(rR) mapping every location rR to a corresponding location rF in the floating image F and generating a subtraction image by performing subtraction Rw(r)?Fw(g(r)) wherein r represents a voxel (x, y, z) in reference image R.Type: ApplicationFiled: February 8, 2008Publication date: August 14, 2008Applicant: AGFA HEALTHCARE NVInventors: Dieter Seghers, Piet Dewaele, Paul Suetens
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Publication number: 20080193000Abstract: An image point in a displayed reference image R is selected and a non-rigid transformation resulting in a transformation field g(rR) mapping every location rR to a corresponding location rF in a floating image F is applied, next a rigid body transformation is applied to floating image F such that rF coincides with the selected image point and the transformed floating image is displayed.Type: ApplicationFiled: February 8, 2008Publication date: August 14, 2008Applicant: AGFA HEALTHCARE NVInventors: Dieter Seghers, Piet Dewaele, Paul Suetens