Patents by Inventor David Lesage
David Lesage 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: 20230310085Abstract: Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.Type: ApplicationFiled: June 6, 2023Publication date: October 5, 2023Inventors: Sethuraman SANKARAN, David LESAGE, Charles A. TAYLOR, Nan XIAO, Hyun Jin KIM, David SPAIN, Michiel SCHAAP
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Patent number: 11707325Abstract: Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.Type: GrantFiled: May 15, 2020Date of Patent: July 25, 2023Assignee: HeartFlow, Inc.Inventors: Sethuraman Sankaran, David Lesage, Charles Taylor, Nan Xiao, Hyun Jin Kim, David Spain, Michiel Schaap
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Publication number: 20230196582Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: ApplicationFiled: February 21, 2023Publication date: June 22, 2023Inventors: Leo GRADY, Peter Kersten PETERSEN, Michiel SCHAAP, David LESAGE
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Patent number: 11610318Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: GrantFiled: March 17, 2021Date of Patent: March 21, 2023Assignee: HeartFlow, Inc.Inventors: Leo Grady, Peter Kersten Petersen, Michiel Schaap, David Lesage
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Patent number: 11288813Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: GrantFiled: August 11, 2021Date of Patent: March 29, 2022Assignee: HeartFlow, Inc.Inventors: Leo Grady, Peter Kersten Petersen, Michiel Schaap, David Lesage
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Publication number: 20210374969Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: ApplicationFiled: August 11, 2021Publication date: December 2, 2021Inventors: Leo GRADY, Peter Kersten PETERSEN, Michiel SCHAAP, David LESAGE
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Publication number: 20210225006Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: ApplicationFiled: March 17, 2021Publication date: July 22, 2021Inventors: Leo GRADY, Peter Kersten PETERSEN, Michiel SCHAAP, David LESAGE
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Patent number: 10984535Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: GrantFiled: September 8, 2020Date of Patent: April 20, 2021Assignee: HeartFlow, Inc.Inventors: Leo Grady, Peter Kersten Petersen, Michiel Schaap, David Lesage
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Publication number: 20200402241Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: ApplicationFiled: September 8, 2020Publication date: December 24, 2020Applicant: Heartflow, Inc.Inventors: Leo GRADY, Peter Kersten PETERSEN, Michiel SCHAAP, David LESAGE
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Publication number: 20200360088Abstract: Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.Type: ApplicationFiled: May 15, 2020Publication date: November 19, 2020Applicant: HeartFlow, Inc.Inventors: Sethuraman SANKARAN, David LESAGE, Charles TAYLOR, Nan XIAO, Hyun Jin KIM, David SPAIN, Michiel SCHAAP
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Patent number: 10803592Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: GrantFiled: May 9, 2018Date of Patent: October 13, 2020Assignee: Heartflow, Inc.Inventors: Leo Grady, Peter Kersten Petersen, Michiel Schaap, David Lesage
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Publication number: 20180330506Abstract: Systems and methods are disclosed for anatomic structure segmentation in image analysis, using a computer system. One method includes: receiving an annotation and a plurality of keypoints for an anatomic structure in one or more images; computing distances from the plurality of keypoints to a boundary of the anatomic structure; training a model, using data in the one or more images and the computed distances, for predicting a boundary in the anatomic structure in an image of a patient's anatomy; receiving the image of the patient's anatomy including the anatomic structure; estimating a segmentation boundary in the anatomic structure in the image of the patient's anatomy; and predicting, using the trained model, a boundary location in the anatomic structure in the image of the patient's anatomy by generating a regression of distances from keypoints in the anatomic structure in the image of the patient's anatomy to the estimated boundary.Type: ApplicationFiled: May 9, 2018Publication date: November 15, 2018Inventors: Leo GRADY, Peter Kersten Petersen, Michiel SCHAAP, David LESAGE
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Patent number: 9157859Abstract: Efficient fluorescence detection is achieved by optically guiding fluorescence light generated by color centers within a sample to photodetectors outside the sample. A fluorescence detection system may use a sample containing one or more fluorescence color centers that emit fluorescent light when irradiated with excitation light from an optical source. The sample has an index of refraction greater than its surrounding medium. The sample may include one or more output faces and further include at least two opposing faces configured to internally reflect the fluorescent light emitted by the fluorescent color centers, and to optically guide the emitted fluorescent light to the one or more output faces. The fluorescence detection system may include one or more optical detector configured to receive fluorescent light emitted through the one or more output faces, and a microwave source configured to manipulate the electronic spin of the fluorescent color centers.Type: GrantFiled: June 13, 2012Date of Patent: October 13, 2015Assignee: PRESIDENT AND FELLOWS OF HARVARD COLLEGEInventors: Ronald Walsworth, David Lesage
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Patent number: 7711165Abstract: A method for segmenting coronary vessels in digitized cardiac images includes providing a digitized cardiac image, providing a seed point in the image, selecting a volume-of-interest about the seed point, performing a local segmentation in the volume-of-interest, including initializing a connected component with the seed point and a threshold intensity value to the intensity of the seed point, adding a point to the connected component if the point is adjacent to the connected component and if the intensity of the point is greater than or equal to the threshold value, lowering the threshold intensity value, and computing an attribute value of the connected component, wherein if a discontinuity in the attribute value is detected, the local segmentation is terminated, wherein a local segmentation mask of a vessel is obtained.Type: GrantFiled: July 19, 2006Date of Patent: May 4, 2010Assignee: Siemens Medical Solutions USA, Inc.Inventors: David Lesage, Matthias Rasch
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Publication number: 20070031019Abstract: A method for segmenting coronary vessels in digitized cardiac images includes providing a digitized cardiac image, providing a seed point in the image, selecting a volume-of-interest about the seed point, performing a local segmentation in the volume-of-interest, including initializing a connected component with the seed point and a threshold intensity value to the intensity of the seed point, adding a point to the connected component if the point is adjacent to the connected component and if the intensity of the point is greater than or equal to the threshold value, lowering the threshold intensity value, and computing an attribute value of the connected component, wherein if a discontinuity in the attribute value is detected, the local segmentation is terminated, wherein a local segmentation mask of a vessel is obtained.Type: ApplicationFiled: July 19, 2006Publication date: February 8, 2007Inventors: David Lesage, Matthias Rasch