Patents by Inventor Andrew J. Buckler
Andrew J. Buckler 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).
-
Patent number: 11087459Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.Type: GrantFiled: November 28, 2018Date of Patent: August 10, 2021Assignee: ELUCID BIOIMAGING INC.Inventors: Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton, Mark A. Buckler, Vladimir Valtchinov, David S. Paik
-
Patent number: 11071501Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.Type: GrantFiled: November 28, 2018Date of Patent: July 27, 2021Assignee: ELUCID BIOIWAGING INC.Inventors: Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton, Mark A. Buckler, Vladimir Valtchinov, David S. Paik
-
Publication number: 20210042918Abstract: A system including a hierarchical analytics framework that can utilize a first set of machine learned algorithms to identify and quantify a set of biological properties utilizing medical imaging data is provided. System can segment the medical imaging data based on the quantified biological properties to delineate existence of perivascular adipose tissue. The system can also segment the medical imaging data based on the quantified biological properties to determine a lumen boundary and/or determine a cap thickness based on a minimum distance between the lumen boundary and LRNC regions.Type: ApplicationFiled: August 4, 2020Publication date: February 11, 2021Applicant: ELUCID BIOIMAGING INC.Inventor: Andrew J. BUCKLER
-
Patent number: 10755810Abstract: Methods and systems are disclosed for structuring and using information pertinent to in vivo biomarkers, specifically quantitative imaging biomarkers, using semantic web technology for personalized medicine and discovery science. It supports the development and application of statistical evidence at a level of granularity and sophistication more closely tied to the complexity of the disease itself and its underlying biology, including technology linking multiple biological scales, than has previously been eedisclosed. It provides data and computational services to analyze quantitative imaging and non-imaging data, coupled with multi-scale modeling to elucidate pre-symptomatic and clinical disease processes. It may be used to assess technical or analytical performance for its own sake and/or to further annotate the quantitative analysis.Type: GrantFiled: August 15, 2016Date of Patent: August 25, 2020Assignee: ELUCID BIOIMAGING INC.Inventors: Andrew J. Buckler, Keith A. Moulton, Mary Buckler, Larry Martell, David S. Paik, Xiaonan Ma, Samantha St. Pierre
-
Patent number: 10740880Abstract: The present disclosure provides for improved image analysis via novel deblurring and segmentation techniques of image data. These techniques advantageously account for and incorporate segmentation of biological analytes into a deblurring process for an image. Thus, the deblurring of the image may advantageously be optimized for enabling identification and quantitative analysis of one or more biological analytes based on underlying biological models for those analytes. The techniques described herein provide for significant improvements in the image deblurring and segmentation process which reduces signal noise and improves the accuracy of the image. In particular, the system and methods described herein advantageously utilize unique optimization and tissue characteristics image models which are informed by the underlying biology being analyzed, (for example by a biological model for the analytes). This provides for targeted deblurring and segmentation which is optimized for the applied image analytics.Type: GrantFiled: January 18, 2018Date of Patent: August 11, 2020Assignee: ELUCID BIOIMAGING INC.Inventors: David S. Paik, Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton
-
Publication number: 20190244348Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.Type: ApplicationFiled: November 30, 2018Publication date: August 8, 2019Applicant: Elucid Bioimaging Inc.Inventors: Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton, Mark A. Buckler, Vladimir Valtchinov, David S. Paik
-
Publication number: 20190244347Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.Type: ApplicationFiled: November 28, 2018Publication date: August 8, 2019Applicant: Elucid Bioimaging Inc.Inventors: Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton, Mark A. Buckler, Vladimir Valtchinov, David S. Paik
-
Publication number: 20190180153Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.Type: ApplicationFiled: November 28, 2018Publication date: June 13, 2019Applicant: Elucid Bioimaging Inc.Inventors: Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton, Mark A. Buckler, Vladimir Valtchinov, David S. Paik
-
Publication number: 20190180438Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.Type: ApplicationFiled: November 28, 2018Publication date: June 13, 2019Applicant: Elucid Bioimaging Inc.Inventors: Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton, Mark A. Buckler, Vladimir Valtchinov, David S. Paik
-
Publication number: 20190172197Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.Type: ApplicationFiled: November 28, 2018Publication date: June 6, 2019Applicant: Elucid Bioimaging Inc.Inventors: Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton, Mark A. Buckler, Vladimir Valtchinov, David S. Paik
-
Publication number: 20190159737Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.Type: ApplicationFiled: November 28, 2018Publication date: May 30, 2019Applicant: Elucid Bioimaging Inc.Inventors: Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton, Mark A. Buckler, Vladimir Valtchinov, David S. Paik
-
Publication number: 20190074082Abstract: Advanced reporting systems based on ontology development for quantitative imaging biomarkers, information modeling to integrate heterogeneous data types relevant to quantitative medical analysis, and a knowledge representation framework for their statistical validation.Type: ApplicationFiled: August 13, 2018Publication date: March 7, 2019Applicant: Elucid Bioimaging Inc.Inventors: Mary E. Buckler, Xiaonan Ma, Lawrence Martell, Andrew J. Buckler
-
Patent number: 10176408Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.Type: GrantFiled: December 4, 2015Date of Patent: January 8, 2019Assignee: Elucid Bioimaging Inc.Inventors: David S. Paik, Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton
-
Publication number: 20180330477Abstract: The present disclosure provides for improved image analysis via novel deblurring and segmentation techniques of image data. These techniques advantageously account for and incorporate segmentation of biological analytes into a deblurring process for an image. Thus, the deblurring of the image may advantageously be optimized for enabling identification and quantitative analysis of one or more biological analytes based on underlying biological models for those analytes. The techniques described herein provide for significant improvements in the image deblurring and segmentation process which reduces signal noise and improves the accuracy of the image. In particular, the system and methods described herein advantageously utilize unique optimization and tissue characteristics image models which are informed by the underlying biology being analyzed, (for example by a biological model for the analytes). This provides for targeted deblurring and segmentation which is optimized for the applied image analytics.Type: ApplicationFiled: January 18, 2018Publication date: November 15, 2018Inventors: David S. Paik, Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton
-
Publication number: 20170046839Abstract: Systems and methods for analyzing pathologies utilizing quantitative imaging are presented herein. Advantageously, the systems and methods of the present disclosure utilize a hierarchical analytics framework that identifies and quantify biological properties/analytes from imaging data and then identifies and characterizes one or more pathologies based on the quantified biological properties/analytes. This hierarchical approach of using imaging to examine underlying biology as an intermediary to assessing pathology provides many analytic and processing advantages over systems and methods that are configured to directly determine and characterize pathology from underlying imaging data.Type: ApplicationFiled: December 4, 2015Publication date: February 16, 2017Applicant: Elucid Bioimaging Inc.Inventors: David S. Paik, Andrew J. Buckler, Kjell Johnson, Xiaonan Ma, Keith A. Moulton
-
Publication number: 20170046484Abstract: Methods and systems for making image-derived information available by performing analyses with semantic annotations accessible using semantic web technology for personalized medicine and discovery science are disclosed. Individual cases are identified according to an identification scheme. Targets for image analysis for each case are characterized in order to support tracking of a given anatomy, suspected pathology, confirmed pathology, or medical intervention at one or more timepoints. Access information to one or more medical images of each target at each one of the one or more timepoints is provided and stored. One or more levels of image-derived analysis is obtained and stored, the image derived analysis including at least one of imaging features, measured quantities, phenotypic descriptions, or predictions relative to said one case.Type: ApplicationFiled: August 15, 2016Publication date: February 16, 2017Inventors: Andrew J. Buckler, Keith A. Moulton, Mary Buckler, Larry Martell, David S. Paik, Xiaonan Ma, Samantha St. Pierre
-
Patent number: 9047539Abstract: A medical information processing and storage system includes a medical images database storing medical images and metadata relevant to the medical images. A processor is configured to perform post-acquisition image processing on medical images. A medical images archiver is configured to store a medical image in the medical images database after the medical image has been processed by the processor. The medical images archiver stores the medical image in the database with processing-descriptive metadata that is descriptive of the post-acquisition image processing performed on the medical image by the processor.Type: GrantFiled: August 21, 2008Date of Patent: June 2, 2015Assignee: Koninklijke Philips N.V.Inventors: Uma S. Ranjan, Alexander Fischer, Andrew J. Buckler, Shuping Xie, Shivakumar Kunigal Ramaswamy
-
Publication number: 20090292559Abstract: A medical information processing and storage system includes a medical images database storing medical images and metadata relevant to the medical images. A processor is configured to perform post-acquisition image processing on medical images. A medical images archiver is configured to store a medical image in the medical images database after the medical image has been processed by the processor. The medical images archiver stores the medical image in the database with processing-descriptive metadata that is descriptive of the post-acquisition image processing performed on the medical image by the processor.Type: ApplicationFiled: August 21, 2008Publication date: November 26, 2009Applicant: KONINKLIJKE PHILIPS ELECTRONICS N. V.Inventors: Uma S. RANJAN, Alexander FISCHER, Andrew J. BUCKLER, Shuping XIE, Shivakumar Kunigal RAMASWAMY
-
Patent number: 5050088Abstract: The present invention is a production control system and an associated method for interfacing automated material handling systems to manufacturing workcells, which workcells have processing equipment therein for performing processing jobs on provided material. An addressable library contains a plurality of program modules with each module defining a sequence of operations that are to be performed by at least one piece of processing equipment. In accordance with job descriptions and process scripts, program modules are selected to provide the capability of concurrently performing processing operations on the provided material. Each piece of processing equipment is programmed to be responsive to the sequence of operations defined by the program modules. The flow of material to and through each workstation is controlled by the job descriptions and process scripts. The processing operations are event tracked for signalling the occurrence of particular operations in the defined sequence of operations.Type: GrantFiled: March 29, 1989Date of Patent: September 17, 1991Assignee: Eastman Kodak CompanyInventors: Andrew J. Buckler, Richard A. Roland, Christopher W. Nerkowski
-
Patent number: 5030984Abstract: In this method and apparatus, motion is detected by sensing the change in luminance, over time, between sequential images at each image pixel site along with the changes in luminance at neighboring pixel sites. These changes are then used to compute the displacement of the entire image as well as a direction independent degree of image change. With the total displacement computed and represented by signals the signals may then be used to control in real time; camera shutter speed, aperture opening, and/or the movement of the film in a direction that tracks with the motion so as to minimize the blur on the recorded image. These same signals may be stored for later use in, for example, a restoration process.Type: GrantFiled: July 19, 1990Date of Patent: July 9, 1991Assignee: Eastman Kodak CompanyInventors: Andrew J. Buckler, Sergei V. Fogel