Patents by Inventor Huseyin Tek
Huseyin Tek 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: 20220079552Abstract: For cardiac flow detection in echocardiography, by detecting one or more valves, sampling planes or flow regions spaced from the valve and/or based on multiple valves are identified. A confidence of the detection may be used to indicate confidence of calculated quantities and/or to place the sampling planes.Type: ApplicationFiled: November 22, 2021Publication date: March 17, 2022Inventors: Huseyin Tek, Bogdan Georgescu, Tommaso Mansi, Frank Sauer, Dorin Comaniciu, Helene C. Houle, Ingmar Voigt
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Patent number: 10373700Abstract: A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions.Type: GrantFiled: March 11, 2013Date of Patent: August 6, 2019Assignee: Siemens Healthcare GmbHInventors: Puneet Sharma, Lucian Mihai Itu, Ali Kamen, Bogdan Georgescu, Xudong Zheng, Huseyin Tek, Dorin Comaniciu, Dominik Bernhardt, Fernando Vega-Higuera, Michael Scheuering
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Patent number: 10354744Abstract: A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions.Type: GrantFiled: November 4, 2013Date of Patent: July 16, 2019Assignee: Siemens Healthcare GmbHInventors: Puneet Sharma, Michael Scheuering, Lucian Mihai Itu, Ali Kamen, Bogdan Georgescu, Xudong Zheng, Huseyin Tek, Dorin Comaniciu, Dominik Bernhardt, Fernando Vega-Higuera
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Publication number: 20190125295Abstract: For cardiac flow detection in echocardiography, by detecting one or more valves, sampling planes or flow regions spaced from the valve and/or based on multiple valves are identified. A confidence of the detection may be used to indicate confidence of calculated quantities and/or to place the sampling planes.Type: ApplicationFiled: October 30, 2017Publication date: May 2, 2019Inventors: Huseyin Tek, Bogdan Georgescu, Tommaso Mansi, Frank Sauer, Dorin Comaniciu, Helene C. Houle, Ingmar Voigt
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Patent number: 9129417Abstract: A method and system for extracting coronary artery centerlines from 3D medical image volumes is disclosed. Heart chambers are segmented in a 3D volume. Coronary artery centerlines are initialized in the 3D volume coronary artery based on the segmented heart chambers. The coronary artery centerlines are locally refined based on a vesselness measure. A length of each coronary artery centerline is shrunk to verify that the coronary artery centerline is within a coronary artery. The coronary artery centerline is the extended using data-driven vessel tracing.Type: GrantFiled: November 5, 2012Date of Patent: September 8, 2015Assignee: Siemens AktiengesellschaftInventors: Yefeng Zheng, Jianhua Shen, Huseyin Tek, Gareth Funka-Lea, Fernando Vega-Higuera, Dorin Comaniciu
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Publication number: 20140058715Abstract: A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions.Type: ApplicationFiled: November 4, 2013Publication date: February 27, 2014Applicants: SIEMENS AKTIENGESELLSCHAFT, SIEMENS CORPORATIONInventors: Puneet Sharma, Lucian Mihai Itu, Ali Kamen, Bogdan Georgescu, Xudong Zheng, Huseyin Tek, Dorin Comaniciu, Dominik Bernhardt, Fernando Vega-Higuera, Michael Scheuering
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Publication number: 20130246034Abstract: A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions.Type: ApplicationFiled: March 11, 2013Publication date: September 19, 2013Applicants: Siemens Aktiengesellschaft, Siemens CorporationInventors: Puneet Sharma, Lucian Mihai Itu, Ali Kamen, Bogdan Georgescu, Xudong Zheng, Huseyin Tek, Dorin Comaniciu, Dominik Bernhardt, Fernando Vega-Higuera, Michael Scheuering
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Patent number: 8170304Abstract: Methods and systems for modeling cerebral aneurysm and their incoming and outgoing vessels from 3D image data are disclosed. Aneurysms and vessels are segmented from their background using a graph-cuts method. Begin and end of vessels are determined. Construction of a centerline of the incoming and outgoing vessels using a measure of vesselness in calculating a minimum cost path in a graph with nodes being representation of pixels is also disclosed. Vessel surface models are constructed from sub-voxel cross-sectional segmentation. The interpolation of vessels inside an aneurysm based on smooth continuity is disclosed. Selection of endo-vascular stents based on interpolation results is also provided.Type: GrantFiled: December 10, 2007Date of Patent: May 1, 2012Assignee: Siemens AktiengesellschaftInventors: Huseyin Tek, Mehmet Akif Gulsun
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Patent number: 8073227Abstract: A method for extracting a centerline of a tubular structure in a digital medical image includes providing a 3-dimensional (3D) digitized medical image having a segmented tubular structure, finding a path in the image between a starting point and every other point in the tubular structure that minimizes an accumulative cost function, wherein the minimum accumulative cost ?(x) at a point x is a minimum of (?(x?)+Px,x?) over all nearest neighbors x? wherein Px,x? is a cost of propagation obtained from the inverse of a medialness measure computed in a plane orthogonal to a line between x and x? that is centered at a mid-point of the line, the medialness measure m(x) computed in a circular region C(x, R) centered at point x on the line, with radius R, given by m ? ( x ) = max R ? { 1 N ? ? i = 0 N - 1 ? f ( x , R ? u ? ? ( 2 ? ? ? ? i / N ) ) } , ?wherein {right arrow over (u)}(?)=sin(?){right arrow over (u)}1+cos(?){right arrow over (u)}2 and {right arrow over (uType: GrantFiled: May 7, 2009Date of Patent: December 6, 2011Assignee: Siemens AktiengesellschaftInventors: Mehmet Akif Gulsun, Huseyin Tek
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Patent number: 7990379Abstract: A method of coronary vessel segmentation and visualization includes providing a digitized coronary image, placing a plurality of seed points along an estimated centerline of a coronary vessel, selecting a seed point and constructing a cyclic graph around the seed point in a plane perpendicular to the centerline at the seed point, performing a multi-scale-mean shift filtering in the perpendicular plane to estimate image gradient values, detecting a vessel boundary using a minimum-mean-cycle optimization that minimizes a ratio of a cost of a cycle to a length of a cycle, constructing a sub-voxel accurate vessel boundary about a point on the centerline, and refining the location of the centerline point from the sub-voxel accurate boundary, where the steps of constructing a sub-voxel accurate vessel boundary and refining the centerline point location are repeated until convergence.Type: GrantFiled: October 11, 2007Date of Patent: August 2, 2011Assignee: Siemens AktiengesellschaftInventors: Shmuel Aharon, Mehmet Akif Gulsun, Huseyin Tek
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Patent number: 7953266Abstract: A method for extracting a local center-axis representation of a vessel, includes: placing first and second seed points in an image that includes the vessel, wherein the first and second seed points are placed near a beginning and an end of a centerline of the vessel; representing the image as a discrete graph having nodes and edges, wherein the first seed point is a source node and the second seed point is a goal node; and finding a minimum-cost path between the first and second seed points by computing a cost of edges between the first and second seed points, wherein the cost of each edge is reciprocal to a vesselness measure of the edge.Type: GrantFiled: August 14, 2007Date of Patent: May 31, 2011Assignee: Siemens Medical Solutions USA, Inc.Inventors: Mehmet Akif Gulsun, Huseyin Tek
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Patent number: 7860290Abstract: A method for producing three-dimensional images of a blood vessel. A first set of seed points is placed along a first estimate of a centerline of the vessel. A cyclic graph is constructed around a first one of the seed points in a plane passing through the seed points. The graph comprises a plurality of nodes, with edges connecting the nodes. The nodes are disposed at equally spaced intervals about each one of a circumference of plurality of concentric circles centered at the seed point The method applies filtering such as multi-scale mean shift intensity detection orthogonal to the edges of the cyclic graph to thereby estimate a boundary of the vessel. A new center of the estimated boundary is determined to thereby generate a new seed point. The process is repeated using the new seed point to thereby generate a final boundary of the vessel in the plane.Type: GrantFiled: March 12, 2007Date of Patent: December 28, 2010Assignee: Siemens Medical Solutions USA, Inc.Inventors: Mehmet Akif Gulsun, Huseyin Tek
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Patent number: 7773787Abstract: Disclosed is a method and system for detecting a boundary of a vessel in an image. Edges in the image are detected. Edge detection is based on the change in intensity over some distance while varying the scale of the distance. A set of edges is then selected from the detected edges. An initial vessel boundary is determined based on the selected set, and a shape descriptor (e.g., one or more elliptical shape descriptors) is applied to the initial vessel boundary to determine a final vessel boundary.Type: GrantFiled: April 6, 2006Date of Patent: August 10, 2010Assignee: Siemens Medical Solutions USA, Inc.Inventors: Huseyin Tek, Alper Ayvaci, Dorin Comaniciu
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Patent number: 7620501Abstract: A system and method for artery-vein separation and vessel modeling are provided, the system including an adapter unit, a centerline locating unit in signal communication with the adapter unit, and a deformable modeling unit in signal communication with the centerline locating unit; and the method including receiving three-dimensional image data indicative of vessels, visualizing the received image data, selecting seed points on the vessels relative to the visualization, smoothing the image data with a non-linear filter responsive to curvature information of the data, initiating a deformable model for each selected seed point, modulating the propagation of each deformable model in accordance with at least one of local and global statistics, and growing an interconnected region for each model, where each model competes for classifying new points in its own region until convergence.Type: GrantFiled: May 3, 2005Date of Patent: November 17, 2009Assignee: Siemens Medical Solutions USA, Inc.Inventors: Huseyin Tek, James P. Williams
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Publication number: 20090278846Abstract: A method for extracting a centerline of a tubular structure in a digital medical image includes providing a 3-dimensional (3D) digitized medical image having a segmented tubular structure, finding a path in the image between a starting point and every other point in the tubular structure that minimizes an accumulative cost function, wherein the minimum accumulative cost ?(x) at a point x is a minimum of (?(x?)+Px,x?) over all nearest neighbors x? wherein Px,x? is a cost of propagation obtained from the inverse of a medialness measure computed in a plane orthogonal to a line between x and x? that is centered at a mid-point of the line, the medialness measure m(x) computed in a circular region C(x, R) centered at point x on the linr, with radius R, given by m ? ( x ) = max R ? { 1 N ? ? i = 0 N - 1 ? f ( x , R ? u ? ? ( 2 ? ? ? ? i / N ) ) } , wherein {right arrow over (u)}(?)=sin(?){right arrow over (u)}1+cos(?){right arrow over (u)}2 and {right arrow over (u)Type: ApplicationFiled: May 7, 2009Publication date: November 12, 2009Applicant: Siemens Corporate Research, Inc.Inventors: Mehmet Akif Gulsun, Huseyin Tek
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Publication number: 20080249755Abstract: Methods and systems for modeling cerebral aneurysm and their incoming and outgoing vessels from 3D image data are disclosed. Aneurysms and vessels are segmented from their background using a graph-cuts method. Begin and end of vessels are determined. Construction of a centerline of the incoming and outgoing vessels using a measure of vesselness in calculating a minimum cost path in a graph with nodes being representation of pixels is also disclosed. Vessel surface models are constructed from sub-voxel cross-sectional segmentation. The interpolation of vessels inside an aneurysm based on smooth continuity is disclosed. Selection of endo-vascular stents based on interpolation results is also provided.Type: ApplicationFiled: December 10, 2007Publication date: October 9, 2008Applicant: Siemens Corporate Research, Inc.Inventors: Huseyin Tek, Mehmet Akif Gulsun
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Publication number: 20080187199Abstract: A method for extracting a local center-axis representation of a vessel, includes: placing first and second seed points in an image that includes the vessel, wherein the first and second seed points are placed near a beginning and an end of a centerline of the vessel; representing the image as a discrete graph having nodes and edges, wherein the first seed point is a source node and the second seed point is a goal node; and finding a minimum-cost path between the first and second seed points by computing a cost of edges between the first and second seed points, wherein the cost of each edge is reciprocal to a vesselness measure of the edge.Type: ApplicationFiled: August 14, 2007Publication date: August 7, 2008Applicant: Siemens Corporate Research, Inc.Inventors: Mehmet Akif Gulsun, Huseyin Tek
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Patent number: 7394933Abstract: An exemplary method of segmenting an object from a structure of interest is provided. A user-selected point in an image is received. A watershed transformation is performed on the user-selected point to determine a primary object. A neighboring watershed region is added to the primary object based on region competition and a smoothness constraint to form an updated object.Type: GrantFiled: September 21, 2005Date of Patent: July 1, 2008Assignee: Siemens Medical Solutions USA, Inc.Inventors: Huseyin Tek, Ferit Akova, Alper Ayvaci
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Publication number: 20080100621Abstract: A method of coronary vessel segmentation and visualization includes providing a digitized coronary image, placing a plurality of seed points along an estimated centerline of a coronary vessel, selecting a seed point and constructing a cyclic graph around the seed point in a plane perpendicular to the centerline at the seed point, performing a multi-scale-mean shift filtering in the perpendicular plane to estimate image gradient values, detecting a vessel boundary using a minimum-mean-cycle optimization that minimizes a ratio of a cost of a cycle to a length of a cycle, constructing a sub-voxel accurate vessel boundary about a point on the centerline, and refining the location of the centerline point from the sub-voxel accurate boundary, where the steps of constructing a sub-voxel accurate vessel boundary and refining the centerline point location are repeated until convergence.Type: ApplicationFiled: October 11, 2007Publication date: May 1, 2008Applicant: Siemens Corporate Research, Inc.Inventors: Shmuel Aharon, Mehmet Akif Gulsun, Huseyin Tek
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Patent number: 7327880Abstract: We propose local watershed operators for the segmentation of structures, such as medical structures, from an image. A watershed transform is a technique for partitioning an image into many regions while substantially retaining edge information. The proposed watershed operators are a computationally efficient local implementation of watersheds, which can be used as an operator in other segmentation techniques, such as seeded region growing, region competition and markers-based watershed segmentation.Type: GrantFiled: September 27, 2004Date of Patent: February 5, 2008Assignee: Siemens Medical Solutions USA, Inc.Inventor: Huseyin Tek