Patents by Inventor Gilwoo Choi

Gilwoo Choi 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: 10478252
    Abstract: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
    Type: Grant
    Filed: November 14, 2014
    Date of Patent: November 19, 2019
    Assignee: HeartFlow, Inc.
    Inventors: Charles A. Taylor, Gilwoo Choi
  • Publication number: 20190336084
    Abstract: Systems and methods are disclosed for estimating patient-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, a geometric model and estimated blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the geometric model and estimated blood flow characteristics for each of the plurality of individuals; identifying, using the machine learning algorithm, features predictive of blood flow characteristics corresponding to a plurality of points in the geometric models; acquiring, for a patient, a geometric model of at least part of the patient's vascular system; and using the identified features to produce estimates of the patient's blood flow characteristic for each of a plurality of points in the patient's geometric model.
    Type: Application
    Filed: July 17, 2019
    Publication date: November 7, 2019
    Inventors: Leo GRADY, Gilwoo CHOI, Michael SINGER
  • Patent number: 10456094
    Abstract: Systems and methods are disclosed for providing a cardiovascular score for a patient. A method includes receiving, using at least one computer system, patient-specific data regarding a geometry of multiple coronary arteries of the patient; and creating, using at least one computer system, a three-dimensional model representing at least portions of the multiple coronary arteries based on the patient-specific data. The method also includes evaluating, using at least one computer system, multiple characteristics of at least some of the coronary arteries represented by the model; and generating, using at least one computer system, the cardiovascular score based on the evaluation of the multiple characteristics. Another method includes generating the cardiovascular score based on evaluated multiple characteristics for portions of the coronary arteries having fractional flow reserve values of at least a predetermined threshold value.
    Type: Grant
    Filed: November 1, 2017
    Date of Patent: October 29, 2019
    Assignee: HeartFlow, Inc.
    Inventors: Timothy A. Fonte, Gilwoo Choi, Jonathan Tang
  • Patent number: 10433740
    Abstract: Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.
    Type: Grant
    Filed: May 16, 2013
    Date of Patent: October 8, 2019
    Assignee: HeartFlow, Inc.
    Inventors: Timothy Fonte, Gilwoo Choi, Leo Grady, Michael Singer
  • Patent number: 10413432
    Abstract: Embodiments include methods of identifying a personalized cardiovascular device based on patient-specific geometrical information, the method comprising acquiring a geometric model of at least a portion of a patient's vascular system; obtaining one or more geometric quantities of one or more blood vessels of the geometric model of the patient's vascular system; determining the presence or absence of a pathology characteristic at a location in the geometric model of the patient's vascular system; generating an objective function defined by a plurality of device variables and a plurality of hemodynamic and solid mechanics characteristics; and optimizing the objective function using computational fluid dynamics and structural mechanics analysis to identify a plurality of device variables that result in desired hemodynamic and solid mechanics characteristics.
    Type: Grant
    Filed: October 20, 2015
    Date of Patent: September 17, 2019
    Assignee: HeartFlow, Inc.
    Inventors: Leo J. Grady, Charles A. Taylor, Gilwoo Choi, Campbell Rogers
  • Patent number: 10398386
    Abstract: Systems and methods are disclosed for estimating patient-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, a geometric model and estimated blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the geometric model and estimated blood flow characteristics for each of the plurality of individuals; identifying, using the machine learning algorithm, features predictive of blood flow characteristics corresponding to a plurality of points in the geometric models; acquiring, for a patient, a geometric model of at least part of the patient's vascular system; and using the identified features to produce estimates of the patient's blood flow characteristic for each of a plurality of points in the patient's geometric model.
    Type: Grant
    Filed: May 16, 2013
    Date of Patent: September 3, 2019
    Assignee: HeartFlow, Inc.
    Inventors: Leo Grady, Gilwoo Choi, Michael Singer
  • Patent number: 10395776
    Abstract: Embodiments include computer-implemented methods and systems for reporting the presence of myocardial bridging in a patient, the method comprising detecting, within a patient-specific model representing at least a portion of the patient's heart based on patient-specific anatomical image data regarding a geometry of the patient's heart, a segment of an epicardial coronary artery at least partially surrounded by the patient's myocardium to determine the presence of myocardial bridging; and computing, using at least one computer processor, at least one physical feature of the myocardial bridging to identify the severity of the myocardial bridging.
    Type: Grant
    Filed: June 14, 2016
    Date of Patent: August 27, 2019
    Assignee: HeartFlow, Inc.
    Inventors: Gilwoo Choi, Charles A. Taylor
  • Patent number: 10354759
    Abstract: Systems and methods are disclosed for modeling changes in patient-specific blood vessel geometry and boundary conditions resulting from changes in blood flow or pressure. One method includes determining, using a processor, a first anatomic model of one or more blood vessels of a patient; determining a biomechanical model of the one or more blood vessels based on at least the first anatomic model; determining one or more parameters associated with a physiological state of the patient; and creating a second anatomic model based on the biomechanical model and the one or more parameters associated with the physiological state.
    Type: Grant
    Filed: June 3, 2016
    Date of Patent: July 16, 2019
    Assignee: HeartFlow, Inc.
    Inventors: Charles A. Taylor, Hyun Jin Kim, Sethuraman Sankaran, Michiel Schaap, David Eberle, Gilwoo Choi, Leo Grady
  • Publication number: 20190156957
    Abstract: Systems and methods are disclosed herein for anatomical modeling using information obtained during a medical procedure, whereby an initial anatomical model is generated or obtained, a correspondence is determined between the initial model and additional data and/or measurements from an invasive or noninvasive procedure, and, if a discrepancy is found between the initial model and the additional data, the anatomical model is updated to incorporate the additional data and reduce the discrepancy.
    Type: Application
    Filed: January 29, 2019
    Publication date: May 23, 2019
    Inventors: Leo GRADY, Charles A. TAYLOR, Campbell ROGERS, Christopher K. ZARINS, Gilwoo CHOI
  • Publication number: 20190095574
    Abstract: Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.
    Type: Application
    Filed: November 21, 2018
    Publication date: March 28, 2019
    Inventors: Charles A. TAYLOR, Hyun Jin KIM, Leo GRADY, Rhea TOMBROPOULOS, Gilwoo CHOI, Nan XIAO, David SPAIN
  • Patent number: 10236084
    Abstract: Systems and methods are disclosed herein for anatomical modeling using information obtained during a medical procedure, whereby an initial anatomical model is generated or obtained, a correspondence is determined between the initial model and additional data and/or measurements from an invasive or noninvasive procedure, and, if a discrepancy is found between the initial model and the additional data, the anatomical model is updated to incorporate the additional data and reduce the discrepancy.
    Type: Grant
    Filed: November 9, 2016
    Date of Patent: March 19, 2019
    Assignee: HeartFlow, Inc.
    Inventors: Leo Grady, Charles A. Taylor, Campbell Rogers, Christopher K. Zarins, Gilwoo Choi
  • Publication number: 20190019289
    Abstract: Systems and methods are disclosed for predicting the location, onset, or change of coronary lesions from factors like vessel geometry, physiology, and hemodynamics. One method includes: acquiring, for each of a plurality of individuals, a geometric model, blood flow characteristics, and plaque information for part of the individual's vascular system; training a machine learning algorithm based on the geometric models and blood flow characteristics for each of the plurality of individuals, and features predictive of the presence of plaque within the geometric models and blood flow characteristics of the plurality of individuals; acquiring, for a patient, a geometric model and blood flow characteristics for part of the patient's vascular system; and executing the machine learning algorithm on the patient's geometric model and blood flow characteristics to determine, based on the predictive features, plaque information of the patient for at least one point in the patient's geometric model.
    Type: Application
    Filed: September 5, 2018
    Publication date: January 17, 2019
    Inventors: Gilwoo CHOI, Leo GRADY, Charles A. TAYLOR
  • Patent number: 10170206
    Abstract: Systems, methods, and computer readable media are disclosed for estimating values of hemodynamic forces acting on plaque or lesions. One method includes: training a system that can predict values of hemodynamic forces acting on one or more points of one or more plaque progressions or erosions on a geometric model of at least a portion of a vascular system; receiving one or more patient-specific parameters of the vascular system of a patient; constructing a geometric model using the received parameters; identifying one or more plaque progressions or erosions; using the trained system to estimate values of hemodynamic forces acting on the identified one or more plaque progressions or erosions of the geometric model of the patient, using the received patient-specific parameters; and outputting the estimated values of hemodynamic forces to an electronic storage medium or display.
    Type: Grant
    Filed: July 1, 2016
    Date of Patent: January 1, 2019
    Assignee: HeartFlow, Inc.
    Inventors: Bon-Kwon Koo, Gilwoo Choi, Hyun Jin Kim, Charles A. Taylor
  • Patent number: 10169542
    Abstract: Embodiments include computer-implemented methods and systems for reporting the presence of myocardial bridging in a patient, the method comprising detecting, within a patient-specific model representing at least a portion of the patient's heart based on patient-specific anatomical image data regarding a geometry of the patient's heart, a segment of an epicardial coronary artery at least partially surrounded by the patient's myocardium to determine the presence of myocardial bridging; and computing, using at least one computer processor, at least one physical feature of the myocardial bridging to identify the severity of the myocardial bridging.
    Type: Grant
    Filed: June 14, 2016
    Date of Patent: January 1, 2019
    Assignee: HeartFlow, Inc.
    Inventors: Gilwoo Choi, Charles A. Taylor
  • Patent number: 10162939
    Abstract: Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.
    Type: Grant
    Filed: February 24, 2017
    Date of Patent: December 25, 2018
    Assignee: HeartFlow, Inc.
    Inventors: Charles A. Taylor, Hyun Jin Kim, Leo Grady, Rhea Tombropoulos, Gilwoo Choi, Nan Xiao, Buzzy Spain
  • Patent number: 10096104
    Abstract: Systems and methods are disclosed for predicting the location, onset, or change of coronary lesions from factors like vessel geometry, physiology, and hemodynamics. One method includes: acquiring, for each of a plurality of individuals, a geometric model, blood flow characteristics, and plaque information for part of the individual's vascular system; training a machine learning algorithm based on the geometric models and blood flow characteristics for each of the plurality of individuals, and features predictive of the presence of plaque within the geometric models and blood flow characteristics of the plurality of individuals; acquiring, for a patient, a geometric model and blood flow characteristics for part of the patient's vascular system; and executing the machine learning algorithm on the patient's geometric model and blood flow characteristics to determine, based on the predictive features, plaque information of the patient for at least one point in the patient's geometric model.
    Type: Grant
    Filed: June 20, 2016
    Date of Patent: October 9, 2018
    Assignee: HeartFlow, Inc.
    Inventors: Gilwoo Choi, Leo Grady, Charles A. Taylor
  • Publication number: 20180235482
    Abstract: Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.
    Type: Application
    Filed: April 24, 2018
    Publication date: August 23, 2018
    Inventors: Timothy A. FONTE, Gilwoo CHOI, Leo GRADY, Michael SINGER
  • Patent number: 10010255
    Abstract: Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.
    Type: Grant
    Filed: July 1, 2016
    Date of Patent: July 3, 2018
    Assignee: HeartFlow, Inc.
    Inventors: Timothy Fonte, Gilwoo Choi, Leo Grady, Michael Singer
  • Patent number: 9974453
    Abstract: Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.
    Type: Grant
    Filed: July 1, 2016
    Date of Patent: May 22, 2018
    Assignee: HeartFlow, Inc
    Inventors: Timothy Fonte, Gilwoo Choi, Leo Grady, Michael Singer
  • Publication number: 20180089384
    Abstract: Systems and methods are disclosed for determining a patient risk assessment or treatment plan based on emboli dislodgement and destination. One method includes receiving a patient-specific anatomic model generated from patient-specific imaging of at least a portion of a patient's vasculature; determining or receiving a location of interest in the patient-specific anatomic model of the patient's vasculature; using a computing processor for calculating blood flow through the patient-specific anatomic model to determine blood flow characteristics through at least the portion of the patient's vasculature of the patient-specific anatomic model downstream from the location of interest; and using a computing processor for particle tracking through the simulated blood flow to determine a destination probability of an embolus originating from the location of interest in the patient-specific anatomic model, based on the determined blood flow characteristics.
    Type: Application
    Filed: November 30, 2017
    Publication date: March 29, 2018
    Inventors: Leo GRADY, Gilwoo CHOI, Charles A. TAYLOR, Christopher K. ZARINS