Patents by Inventor ALISON M. POUCH
ALISON M. POUCH 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: 11551355Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.Type: GrantFiled: August 24, 2020Date of Patent: January 10, 2023Assignee: The Trustees of the University of PennsylvaniaInventors: Benjamin M Jackson, Robert C Gorman, Joseph H Gorman, III, Alison M Pouch, Chandra M Sehgal, Paul A Yushkevich, Brian B Avants, Hongzhi Wang
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Publication number: 20200394798Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.Type: ApplicationFiled: August 24, 2020Publication date: December 17, 2020Inventors: Benjamin M. Jackson, Robert C. Gorman, Joseph H. Gorman, III, Alison M. Pouch, Chandra M. Sehgal, Paul A. Yushkevich, Brian B. Avants, Hongzhi Wang
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Patent number: 10783631Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.Type: GrantFiled: March 15, 2019Date of Patent: September 22, 2020Assignee: The Trustees of the University of PennsylvaniaInventors: Benjamin M. Jackson, Robert C. Gorman, Joseph H. Gorman, III, Alison M. Pouch, Chandra M. Sehgal, Paul A. Yushkevich, Brian B. Avants, Hongzhi Wang
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Publication number: 20190213737Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.Type: ApplicationFiled: March 15, 2019Publication date: July 11, 2019Inventors: Benjamin M. Jackson, Robert C. Gorman, Joseph H. Gorman, III, Alison M. Pouch, Chandra M. Sehgal, Paul A. Yushkevich, Brian B. Avants, Hongzhi Wang
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Patent number: 10235754Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.Type: GrantFiled: September 6, 2017Date of Patent: March 19, 2019Assignee: The Trustees of the University of PennsylvaniaInventors: Benjamin M. Jackson, Robert C. Gorman, Joseph H. Gorman, Alison M. Pouch, Chandra M. Sehgal, Paul A. Yushkevich, Brian B. Avants, Hongzhi Wang
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Publication number: 20170365057Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.Type: ApplicationFiled: September 6, 2017Publication date: December 21, 2017Inventors: Benjamin M. Jackson, Robert C. Gorman, Joseph H. Gorman, Alison M. Pouch, Chandra M. Sehgal, Paul A. Yushkevich, Brian B. Avants, Hongzhi Wang
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Patent number: 9779496Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.Type: GrantFiled: March 12, 2014Date of Patent: October 3, 2017Assignee: The Trustees Of The University Of PennsylvaniaInventors: Benjamin M. Jackson, Robert C. Gorman, Joseph H. Gorman, Alison M. Pouch, Chandra M. Sehgal, Paul A. Yushkevich, Brian B. Avants, Hongzhi Wang
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Patent number: 9406142Abstract: A fully automatic method for segmentation of the mitral leaflets in 3D transesophageal echocardiographic (3D TEE) images is provided. The method combines complementary probabilistic segmentation and geometric modeling techniques to generate 3D patient-specific reconstructions of the mitral leaflets and annulus from 3D TEE image data with no user interaction. In the model-based segmentation framework, mitral leaflet geometry is described with 3D continuous medial representation (cm-rep). To capture leaflet geometry in a target 3D TEE image, a pre-defined cm-rep template of the mitral leaflets is deformed such that the negative log of a Bayesian posterior probability is minimized. The likelihood of the objective function is given by a probabilistic segmentation of the mitral leaflets generated by multi-atlas joint label fusion, while the validity constraints and regularization terms imposed by cm-rep act as shape priors that preserve leaflet topology and constrain model fitting.Type: GrantFiled: October 8, 2014Date of Patent: August 2, 2016Assignee: The Trustees of the University of PennsylvaniaInventors: Joseph H. Gorman, III, Alison M. Pouch, Robert C. Gorman, Hongzhi Wang, Paul Yushkevich, Benjamin M Jackson, Brian B. Avants, Chandra M. Sehgal
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Publication number: 20160035087Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.Type: ApplicationFiled: March 12, 2014Publication date: February 4, 2016Inventors: Benjamin M. Jackson, Robert C. Gorman, Joseph H. Gorman, Alison M. Pouch, Chandra M. Sehgal, Paul A. Yushkevich, Brian B. Avants, Hongzhi Wang
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Publication number: 20150178938Abstract: A fully automatic method for segmentation of the mitral leaflets in 3D transesophageal echocardiographic (3D TEE) images is provided. The method combines complementary probabilistic segmentation and geometric modeling techniques to generate 3D patient-specific reconstructions of the mitral leaflets and annulus from 3D TEE image data with no user interaction. In the model-based segmentation framework, mitral leaflet geometry is described with 3D continuous medial representation (cm-rep). To capture leaflet geometry in a target 3D TEE image, a pre-defined cm-rep template of the mitral leaflets is deformed such that the negative log of a Bayesian posterior probability is minimized. The likelihood of the objective function is given by a probabilistic segmentation of the mitral leaflets generated by multi-atlas joint label fusion, while the validity constraints and regularization terms imposed by cm-rep act as shape priors that preserve leaflet topology and constrain model fitting.Type: ApplicationFiled: October 8, 2014Publication date: June 25, 2015Inventors: JOSEPH H. GORMAN, III, ALISON M. POUCH, ROBERT C. GORMAN, HONGZHI WANG, PAUL YUSHKEVICH, BENJAMIN M. JACKSON, BRIAN B. AVANTS, CHANDRA M. SEHGAL