Patents by Inventor David Yankelevitz
David Yankelevitz 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: 20190030286Abstract: A variety of steerable needles, lancets, trocars, stylets, cannulas and systems are provided for examining, diagnosing, treating, or removing tissue from a patient. The steerable needles, trocars, stylets, cannulas and systems also provide a platform for delivery of target materials, such as therapeutics, biologics, polymes, glues, etc., to a target site. An embodiment of the invention includes a steerable device for use in accessing target site in a patient comprising: a steerable member adapted to penetrate tissue; and a steering mechanism adapted to be operated by a user to apply a bending force to bend the steerable member to access the target site.Type: ApplicationFiled: June 21, 2018Publication date: January 31, 2019Inventors: Mark Mathis, David Thompson, Bruce Addis, David Yankelevitz
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Patent number: 8577129Abstract: The present invention relates to methods and systems for conducting three-dimensional image analysis and diagnosis and possible treatment relating thereto. The invention includes methods of handling signals containing information (data) relating to three-dimensional representation of objects scanned by a scanning medium. The invention also includes methods of making and analyzing volumetric measurements and changes in volumetric measurements which can be used for the purpose of diagnosis and treatment.Type: GrantFiled: April 23, 2012Date of Patent: November 5, 2013Assignee: Cornell Research Foundation, Inc.Inventors: Anthony P. Reeves, William J. Kostis, Claudia Henschke, David Yankelevitz
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Publication number: 20120219200Abstract: The present invention relates to methods and systems for conducting three-dimensional image analysis and diagnosis and possible treatment relating thereto. The invention includes methods of handling signals containing information (data) relating to three-dimensional representation of objects scanned by a scanning medium. The invention also includes methods of making and analyzing volumetric measurements and changes in volumetric measurements which can be used for the purpose of diagnosis and treatment.Type: ApplicationFiled: April 23, 2012Publication date: August 30, 2012Applicant: CORNELL RESEARCH FOUNDATION, INC.Inventors: Anthony P. Reeves, William J. Kostis, Claudia Henschke, David Yankelevitz
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Patent number: 8165385Abstract: The present invention relates to methods and systems for conducting three-dimensional image analysis and diagnosis and possible treatment relating thereto. The invention includes methods of handling signals containing information (data) relating to three-dimensional representation of objects scanned by a scanning medium. The invention also includes methods of making and analyzing volumetric measurements and changes in volumetric measurements which can be used for the purpose of diagnosis and treatment.Type: GrantFiled: July 13, 2007Date of Patent: April 24, 2012Assignee: Cornell Research Foundation, Inc.Inventors: Anthony P. Reeves, William J. Kostis, Claudia Henschke, David Yankelevitz
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Patent number: 8050481Abstract: The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, a lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images or the lung region of the CT scan pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points.Type: GrantFiled: July 2, 2010Date of Patent: November 1, 2011Assignee: Cornell Research Foundation, Inc.Inventors: Anthony P. Reeves, David Yankelevitz, Claudia Henschke, Antoni Chan
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Patent number: 8045770Abstract: The present invention relates to methods and systems for conducting three-dimensional image analysis and diagnosis and possible treatment relating thereto. The invention includes methods of handling signals containing information (data) relating to three-dimensional representation of objects scanned by a scanning medium. The invention also includes methods of making and analyzing volumetric measurements and changes in volumetric measurements which can be used for the purpose of diagnosis and treatment.Type: GrantFiled: July 13, 2007Date of Patent: October 25, 2011Assignee: Cornell Research Foundation, Inc.Inventors: Anthony P. Reeves, William J. Kostis, Claudia Henschke, David Yankelevitz
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Publication number: 20100272341Abstract: The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, a lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images or the lung region of the CT scan pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points.Type: ApplicationFiled: July 2, 2010Publication date: October 28, 2010Applicant: CORNELL RESEARCH FOUNDATION, INC.Inventors: Anthony P. Reeves, David Yankelevitz, Claudia Henschke, Antoni Chan
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Patent number: 7751607Abstract: The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, the lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points. The invention also improves the consistency of nodule segmentations. This invention uses rigid-body registration, histogram-matching, and a rule-based adjustment system to remove missegmented voxels between two segmentations of the same nodule at different times.Type: GrantFiled: November 25, 2008Date of Patent: July 6, 2010Assignee: Cornell Research Foundation, Inc.Inventors: Anthony P. Reeves, David Yankelevitz, Claudia Henschke, Antoni Chan
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Patent number: 7693729Abstract: Described is a method and system for conducting a clinical trial. Medical data is obtained from a patient participating in the clinical trial. Then, the medical data and at least one identifier are transmitted, via a communications network, for storage at a remote server. The at least one identifier links the medical data to a record of the patient. Access to at least portions of the medical data is provided, via the communications network, to trial participants based on predefined clinical trial procedures. The remote server tracks accessing of the medical data by the trial participants and generation by the trial participants of work product responsive to the medical data.Type: GrantFiled: July 28, 2004Date of Patent: April 6, 2010Assignee: Cornell Research Foundation, Inc.Inventors: David Yankelevitz, Claudia Henschke, Anthony P. Reeves
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Patent number: 7660451Abstract: The present invention is directed to diagnostic imaging of small pulmonary nodules. There are two main stages in the evaluation of pulmonary nodules from Computed Tomography (CT) scans: detection, in which the locations of possible nodules are identified, and characterization, in which a nodule is represented by measured features that may be used to evaluate the probability that the nodule is cancer. Currently, the most useful prediction feature is growth rate, which requires the comparison of size estimates from two CT scans recorded at different times. The present invention includes methods for detection and feature extraction for size characterization. The invention focuses the analysis of small pulmonary nodules that are less than 1 centimeter in size, but is also suitable for larger nodules as well.Type: GrantFiled: February 29, 2008Date of Patent: February 9, 2010Assignee: Cornell Research Foundation, Inc.Inventors: Anthony P. Reeves, David Yankelevitz, Claudia Henshke, Antoni Chan
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Publication number: 20090080748Abstract: The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, the lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points. The invention also improves the consistency of nodule segmentations. This invention uses rigid-body registration, histogram-matching, and a rule-based adjustment system to remove missegmented voxels between two segmentations of the same nodule at different times.Type: ApplicationFiled: November 25, 2008Publication date: March 26, 2009Applicant: CORNELL RESEARCH FOUNDATION, INC.Inventors: Anthony P. Reeves, David Yankelevitz, Claudia Henschke, Antoni Chan
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Patent number: 7499578Abstract: The present invention is a multi-stage detection algorithm using a successive nodule candidate refinement approach. The detection algorithm involves four major steps. First, the lung region is segmented from a whole lung CT scan. This is followed by a hypothesis generation stage in which nodule candidate locations are identified from the lung region. In the third stage, nodule candidate sub-images pass through a streaking artifact removal process. The nodule candidates are then successively refined using a sequence of filters of increasing complexity. A first filter uses attachment area information to remove vessels and large vessel bifurcation points from the nodule candidate list. A second filter removes small bifurcation points. The invention also improves the consistency of nodule segmentations. This invention uses rigid-body registration, histogram-matching, and a rule-based adjustment system to remove missegmented voxels between two segmentations of the same nodule at different times.Type: GrantFiled: October 17, 2003Date of Patent: March 3, 2009Assignee: Cornell Research Foundation, Inc.Inventors: Anthony P. Reeves, David Yankelevitz, Claudia Henschke, Antoni Chan
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Publication number: 20080205717Abstract: The present invention relates to methods and systems for conducting three-dimensional image analysis and diagnosis and possible treatment relating thereto. The invention includes methods of handling signals containing information (data) relating to three-dimensional representation of objects scanned by a scanning medium. The invention also includes methods of making and analyzing volumetric measurements and changes in volumetric measurements which can be used for the purpose of diagnosis and treatment.Type: ApplicationFiled: July 13, 2007Publication date: August 28, 2008Inventors: Anthony P. Reeves, William J. Kostis, Claudia Henschke, David Yankelevitz
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Publication number: 20080187204Abstract: The present invention is directed to diagnostic imaging of small pulmonary nodules. There are two main stages in the evaluation of pulmonary nodules from Computed Tomography (CT) scans: detection, in which the locations of possible nodules are identified, and characterization, in which a nodule is represented by measured features that may be used to evaluate the probability that the nodule is cancer. Currently, the most useful prediction feature is growth rate, which requires the comparison of size estimates from two CT scans recorded at different times. The present invention includes methods for detection and feature extraction for size characterization. The invention focuses the analysis of small pulmonary nodules that are less than 1 centimeter in size, but is also suitable for larger nodules as well.Type: ApplicationFiled: February 29, 2008Publication date: August 7, 2008Inventors: Anthony P. Reeves, David Yankelevitz, Claudia Henshke, Antoni Chan
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Publication number: 20080002873Abstract: The present invention relates to methods and systems for conducting three-dimensional image analysis and diagnosis and possible treatment relating thereto. The invention includes methods of handling signals containing information (data) relating to three-dimensional representation of objects scanned by a scanning medium. The invention also includes methods of making and analyzing volumetric measurements and changes in volumetric measurements which can be used for the purpose of diagnosis and treatment.Type: ApplicationFiled: July 13, 2007Publication date: January 3, 2008Inventors: Anthony Reeves, William Kostis, Claudia Henschke, David Yankelevitz
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Publication number: 20070223807Abstract: A visibility index for medical images. The method includes generating a visibility index from a training set of images; making a number of measurements of a set of features from an image of an abnormality that is not a member of the training set; and combining the number of measurements to generate a visibility score mapped to the visibility index.Type: ApplicationFiled: March 21, 2007Publication date: September 27, 2007Applicant: CORNELL RESEARCH FOUNDATION, INC.Inventors: David Yankelevitz, Anthony Reeves, Claudia Henschke
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Patent number: 7274810Abstract: The present invention relates to methods and systems for conducting three-dimensional image analysis and diagnosis and possible treatment relating thereto. The invention includes methods of handling signals containing information (data) relating to three-dimensional representation of objects scanned by a scanning medium. The invention also includes methods of making and analyzing volumetric measurements and changes in volumetric measurements which can be used for the purpose of diagnosis and treatment.Type: GrantFiled: April 10, 2001Date of Patent: September 25, 2007Assignee: Cornell Research Foundation, Inc.Inventors: Anthony P. Reeves, William J. Kostis, Claudia Henschke, David Yankelevitz
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Publication number: 20070100226Abstract: A body part is scanned to produce a first set of imaging data. A target lesion in the imaging data is identified. The body part is rescanned at a subsequent time so as to produce a second set of imaging data. The target lesion is identified in the second set of imaging data and the size of the target lesion is measured in the first and second sets of imaging data to determine two apparent image volumes corresponding to the first and second sets of imaging data. A change in size is estimated by comparing the first and second apparent lesion sizes. A variance on the change in size is estimated so as to determine a bound on the change in size measurement.Type: ApplicationFiled: October 24, 2006Publication date: May 3, 2007Inventors: David Yankelevitz, Anthony Reeves, Claudia Henschke
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Publication number: 20060239544Abstract: A method for expanding the domain of imaging software in a diagnostic work-up includes the steps of: imaging a patient's body parts for a first condition using a first imaging technique directed to a first condition; acquiring known patient risk factors indicating a second condition; compensating for differences in accuracy between a first imaging technique directed to a first condition, and a second imaging technique directed to testing for the second condition to generate a set of measures; placing a range and confidence interval around the set of measures; and evaluating for a second condition using the set of measures and known patient risk factors.Type: ApplicationFiled: March 16, 2006Publication date: October 26, 2006Inventors: David Yankelevitz, Anthony Reeves, Claudia Henschke
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Publication number: 20060167416Abstract: A variety of steerable needles, lancets, trocars, stylets, cannulas and systems are provided for examining, diagnosing, treating, or removing tissue from a patient. The steerable needles, trocars, stylets, cannulas and systems also provide a platform for delivery of target materials, such as therapeutics, biologics, polymers, glues, etc., to a target site. An embodiment of the invention includes a steerable device for use in accessing target site in a patient comprising: a steerable member adapted to penetrate tissue; and a steering mechanism adapted to be operated by a user to apply a bending force to bend the steerable member to access the target site.Type: ApplicationFiled: November 23, 2005Publication date: July 27, 2006Inventors: Mark Mathis, David Thompson, Bruce Addis, David Yankelevitz