Patents by Inventor Natalia Trayanova

Natalia Trayanova 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: 12076150
    Abstract: A method of planning a patient-specific cardiac procedure according to an embodiment of the current invention includes receiving three-dimensional imaging data of a patient's heart, simulating at least one of electrophysiological or electromechanical activity of at least a portion of the patient's heart using the three-dimensional imaging data, and planning the patient-specific cardiac procedure based on the simulating. The cardiac procedure is for providing a preselected alteration of at least one of electrophysiological or electromechanical behavior of the patient's heart.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: September 3, 2024
    Assignee: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Natalia A. Trayanova, Henry R. Halperin, Hermenegild Arevalo, Jason Constantino
  • Publication number: 20240193782
    Abstract: A device may receive images of a patient, and may perform segmentation of surfaces on the images to create a 3D model. The device may identify normal tissue regions and atrial fibrosis (AF) regions in the 3D model, and may divide the 3D model into the normal tissue regions and the AF regions. The device may assign first cell and tissue properties to the normal tissue regions, and may assign second cell and tissue properties to the AF regions. The device may perform simulations on the normal tissue regions and the AD regions, based on the first and second cell and tissue properties, to generate simulation results, and may extract first features from the simulation results. The device may extract second features from the images, and may process the first and second features, with a model, to select a feature that is predictive of atrial fibrillation recurrence.
    Type: Application
    Filed: February 6, 2024
    Publication date: June 13, 2024
    Inventors: Natalia A. TRAYANOVA, Rheeda ALI, Julie SHADE
  • Patent number: 11922630
    Abstract: A device may receive images of a patient, and may perform segmentation of surfaces on the images to create a 3D model. The device may identify normal tissue regions and atrial fibrosis (AF) regions in the 3D model, and may divide the 3D model into the normal tissue regions and the AF regions. The device may assign first cell and tissue properties to the normal tissue regions, and may assign second cell and tissue properties to the AF regions. The device may perform simulations on the normal tissue regions and the AD regions, based on the first and second cell and tissue properties, to generate simulation results, and may extract first features from the simulation results. The device may extract second features from the images, and may process the first and second features, with a model, to select a feature that is predictive of atrial fibrillation recurrence.
    Type: Grant
    Filed: January 24, 2020
    Date of Patent: March 5, 2024
    Assignee: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Natalia Trayanova, Rheeda Ali, Julie Shade
  • Publication number: 20240055122
    Abstract: Provided herein are methods of generating models for prognosing cardiovascular outcomes for monitored subjects infected with an etiologic agent (e.g., severe acute respiratory syndrome coronavirus-2 or another etiologic agent). Related methods, systems, and computer program products are also provided.
    Type: Application
    Filed: December 17, 2021
    Publication date: February 15, 2024
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Julie K. SHADE, Ashish DOSHI, Eric SUNG, Allison HAYS, Natalia A. TRAYANOVA
  • Publication number: 20240024031
    Abstract: Methods, system, and media for identifying one or more ablation locations in an atrial tissue region in an atrial fibrillation (AF) patient with atrial fibrosis are disclosed. Three-dimensional imaging data representing the atria of the patient may be received. A patient-specific model of the atria may be generated from the three-dimensional imaging data. Simulation of the AF on the patient-specific model may be conducted to identify AF-perpetrating regions. One or more ablation locations in the atria may be identified from the AF-perpetrating regions.
    Type: Application
    Filed: October 3, 2023
    Publication date: January 25, 2024
    Inventors: Natalia A. TRAYANOVA, Kathleen MCDOWELL
  • Publication number: 20230394670
    Abstract: Fully automated computer-implemented deep learning techniques of contrast-enhanced cardiac MRI segmentation are provided. The techniques may include providing cardiac MRI data to a first computer-implemented deep learning network trained in order to identify a left ventricle region of interest to generate left ventricle region-of-interest-identified cardiac MRI data. The techniques may also include providing the left ventricle region-of-interest-identified cardiac MRI data to a second computer-implemented deep learning network trained in order to identify myocardium to generate myocardium-identified cardiac MRI data. The techniques may further include providing the myocardium-identified cardiac MRI data to at least one third computer-implemented deep learning network trained to conform data to geometrical anatomical constraints in order to generate anatomical-conforming myocardium-identified cardiac MRI data.
    Type: Application
    Filed: October 19, 2021
    Publication date: December 7, 2023
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Natalia A. TRAYANOVA, Haley Gilbert ABRAMSON, Dan POPESCU, Mauro MAGGIONI, Katherine C. WU
  • Publication number: 20230363689
    Abstract: Intraprocedural techniques for identifying a location of an origin of an idiopathic ventricular arrhythmia in a patient are presented.
    Type: Application
    Filed: August 5, 2021
    Publication date: November 16, 2023
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Natalia TRAYANOVA, Shijie A. ZHOU, Jonathan CHRISPIN, John SAPP, Amir ABDELWAHAB
  • Patent number: 11793573
    Abstract: Methods, system, and media for identifying one or more ablation locations in an atrial tissue region in an atrial fibrillation (AF) patient with atrial fibrosis are disclosed. Three-dimensional imaging data representing the atria of the patient may be received. A patient-specific model of the atria may be generated from the three-dimensional imaging data. Simulation of the AF on the patient-specific model may be conducted to identify AF-perpetrating regions. One or more ablation locations in the atria may be identified from the AF-perpetrating regions.
    Type: Grant
    Filed: October 21, 2020
    Date of Patent: October 24, 2023
    Assignee: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Natalia A. Trayanova, Kathleen Mcdowell
  • Publication number: 20230149089
    Abstract: A method for guiding ablation of atrial or ventricular arrhythmia in a patient's heart is provided. A digital representation of the electrical functioning of atria or ventricles of the patient's heart is generated based on imaging data of the patient's heart that reveals the presence of adipose tissue. The arrhythmias arising in the presence of the adipose tissue in the digital representation of the patients atria or ventricles are determined. The method further includes identifying, in the digital representation, ablation targets that need to be ablated to terminate determined arrhythmias; executing, in the digital representation, a mock-up of a clinical ablation procedure of the patient to determine the electrical response of the patients heart to ablating the ablation targets, and to determine whether the heart continues to generate new arrhythmias post-procedure; and generating a final set of ablation targets based on the mock-up of the clinical ablation procedure.
    Type: Application
    Filed: April 6, 2021
    Publication date: May 18, 2023
    Applicant: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Natalia A. TRAYANOVA, Eric SUNG, Adityo PRAKOSA, Shijie ZHOU
  • Publication number: 20230011001
    Abstract: A system and method are provided for a navigational feedback to a catheter during an arrhythmia ablation procedure. A set of electrocardiogram (ECG) signals of a patient's arrhythmia is recorded that correspond to an unknown target location to be ablated by the catheter. During the ablation procedure, pacing locations and ECG signals corresponding to the pacing locations are collected to derive a mathematical operator that maps a 12-dimensional displacement vector in the ECG space to a 3-dimensional (3D) vector in a physical space. This 3D vector corresponds to a direction and a distance that the catheter needs to be moved in order to reach the target location of the arrhythmia.
    Type: Application
    Filed: December 2, 2020
    Publication date: January 12, 2023
    Inventors: Konstantinos N. ARONIS, Ronald D. BERGER, Natalia A. TRAYANOVA, Shijie ZHOU, Harikrishna TANDRI
  • Publication number: 20220101530
    Abstract: A device may receive images of a patient, and may perform segmentation of surfaces on the images to create a 3D model. The device may identify normal tissue regions and atrial fibrosis (AF) regions in the 3D model, and may divide the 3D model into the normal tissue regions and the AF regions. The device may assign first cell and tissue properties to the normal tissue regions, and may assign second cell and tissue properties to the AF regions. The device may perform simulations on the normal tissue regions and the AD regions, based on the first and second cell and tissue properties, to generate simulation results, and may extract first features from the simulation results. The device may extract second features from the images, and may process the first and second features, with a model, to select a feature that is predictive of atrial fibrillation recurrence.
    Type: Application
    Filed: January 24, 2020
    Publication date: March 31, 2022
    Inventors: Natalia TRAYANOVA, Rheeda ALI, Julie SHADE
  • Patent number: 11278247
    Abstract: An embodiment in accordance with the present invention provides a non-invasive solution to risk stratify the risk of in arrhythmia in patients with TOF. Currently, no reliable method for non-invasive risk stratification exists. In the realm of congenital heart disease, cardiac MRI is now used routinely for patients with Tetralogy of Fallot (TOF), the most common form of cyanotic congenital heart disease. An innovative platform for using clinical MRI data to create 3D electromechanical models of the heart enables predictions of whether or not patients with ischemic heart disease have the substrate for arrhythmia and what their relative risk for such an event is. An embodiment of the current invention provides a non-invasive solution to risk stratify the risk of arrhythmia in patients with TOF. Currently, no reliable method for non-invasive risk stratification exists.
    Type: Grant
    Filed: November 6, 2017
    Date of Patent: March 22, 2022
    Assignee: THE JOHNS HOPKINS UNIVERSITY
    Inventors: Natalia A. Trayanova, Adityo Prakosa, Mark Cartoski, Patrick M. Boyle
  • Publication number: 20210085399
    Abstract: Methods, system, and media for identifying one or more ablation locations in an atrial tissue region in an atrial fibrillation (AF) patient with atrial fibrosis are disclosed. Three-dimensional imaging data representing the atria of the patient may be received. A patient-specific model of the atria may be generated from the three-dimensional imaging data. Simulation of the AF on the patient-specific model may be conducted to identify AF-perpetrating regions. One or more ablation locations in the atria may be identified from the AF-perpetrating regions.
    Type: Application
    Filed: October 21, 2020
    Publication date: March 25, 2021
    Applicant: The Johns Hopkins University
    Inventors: Natalia A. Trayanova, Kathleen Mcdowell
  • Publication number: 20200375487
    Abstract: A method of planning a patient-specific cardiac procedure according to an embodiment of the current invention includes receiving three-dimensional imaging data of a patient's heart, simulating at least one of electrophysiological or electromechanical activity of at least a portion of the patient's heart using the three-dimensional imaging data, and planning the patient-specific cardiac procedure based on the simulating. The cardiac procedure is for providing a preselected alteration of at least one of electrophysiological or electromechanical behavior of the patient's heart.
    Type: Application
    Filed: August 17, 2020
    Publication date: December 3, 2020
    Applicant: The Johns Hopkins University
    Inventors: Natalia A. Trayanova, Henry R. Halperin, Hermenegild Arevalo, Jason Constantino
  • Patent number: 10842401
    Abstract: A computer-implemented method for non-invasively identifying ablation locations in atrial tissue, can include: receiving three-dimensional imaging data representing atrial tissue of a left atrial flutter (LAFL) subject; generating a subject-specific model of the at least one of the atrial tissue from the three-dimensional imaging data; estimating tissue fiber orientations in the atrial tissue; assigning the estimated tissue fiber orientations to the subject-specific model of the atrial tissue; conducting simulations of LAFL using the subject-specific model to identify regions of slow conduction of a propagating wave within an atrial tissue region of the atrial tissue; a critical isthmus of a rotational wavefront within the atrial tissue region; or a region based on a minimum cut in a flow network; and identifying at least one ablation location in the atrial tissue region based on the identified regions of slow conduction, the critical isthmus, or the minimum cut.
    Type: Grant
    Filed: May 12, 2016
    Date of Patent: November 24, 2020
    Assignee: The Johns Hopkins University
    Inventors: Natalia A. Trayanova, Sohail Zahid, Patrick Boyle
  • Patent number: 10827983
    Abstract: A method of determining a likelihood of an occurrence of a cardiac arrhythmia in a patient includes receiving three-dimensional imaging data of said patient's heart, constructing a whole-heart model for simulating at least one of electrophysiological activity or electromechanical activity of the patient's heart using the three-dimensional imaging data, simulating a response of the patient's heart to each of a plurality of stimulations to a corresponding plurality of different locations within the patient's heart using the whole-heart model, classifying each simulation outcome for each stimulation as one of a normal heart rhythm or a cardiac arrhythmia, calculating a likelihood index based on results of the classifying, and determining the likelihood of the occurrence of the cardiac arrhythmia in the patient based on the likelihood index. Software and data processing systems that implement the above methods are also provided.
    Type: Grant
    Filed: October 30, 2012
    Date of Patent: November 10, 2020
    Assignee: The Johns Hopkins University
    Inventors: Fijoy Vadakkumpadan, Hermenegild Arevalo, Natalia Trayanova, Katherine Wu
  • Patent number: 10813698
    Abstract: Methods, system, and media for identifying one or more ablation locations in an atrial tissue region in an atrial fibrillation (AF) patient with atrial fibrosis are disclosed. Three-dimensional imaging data representing the atria of the patient may be received. A patient-specific model of the atria may be generated from the three-dimensional imaging data. Simulation of the AF on the patient-specific model may be conducted to identify AF-perpetrating regions. One or more ablation locations in the atria may be identified from the AF-perpetrating regions.
    Type: Grant
    Filed: November 15, 2017
    Date of Patent: October 27, 2020
    Assignee: The Johns Hopkins University
    Inventors: Natalia A. Trayanova, Kathleen McDowell
  • Patent number: 10765336
    Abstract: A method of planning a patient-specific cardiac procedure according to an embodiment of the current invention includes receiving three-dimensional imaging data of a patient's heart, simulating at least one of electrophysiological or electromechanical activity of at least a portion of the patient's heart using the three-dimensional imaging data, and planning the patient-specific cardiac procedure based on the simulating. The cardiac procedure is for providing a preselected alteration of at least one of electrophysiological or electromechanical behavior of the patient's heart.
    Type: Grant
    Filed: February 10, 2012
    Date of Patent: September 8, 2020
    Assignee: The Johns Hopkins University
    Inventors: Natalia A. Trayanova, Henry R. Halperin, Hermenegild Arevalo, Jason Constantino
  • Publication number: 20200261028
    Abstract: An embodiment in accordance with the present invention provides a non-invasive solution to risk stratify the risk of in arrhythmia in patients with TOF. Currently, no reliable method for non-invasive risk stratification exists. In the realm of congenital heart disease, cardiac MRI is now used routinely for patients with Tetralogy of Fallot (TOF), the most common form of cyanotic congenital heart disease. An innovative platform for using clinical MRI data to create 3D electromechanical models of the heart enables predictions of whether or not patients with ischemic heart disease have the substrate for arrhythmia and what their relative risk for such an event is. An embodiment of the current invention provides a non-invasive solution to risk stratify the risk of arrhythmia in patients with TOF. Currently, no reliable method for non-invasive risk stratification exists.
    Type: Application
    Filed: November 6, 2017
    Publication date: August 20, 2020
    Inventors: Natalia A. Trayanova, Adityo Prakosa, Mark Cartoski, Patrick M. Boyle
  • Patent number: 10687898
    Abstract: According to some embodiments of the invention, a method for providing an atrial fibrillation (AF) ablation treatment plan includes receiving imaging data for at least a portion of an atrial region of a subject's heart, and processing the imaging data to characterize tissue as one of fibrotic tissue or non-fibrotic tissue. The method further includes calculating a metric of spatial distribution of at least a portion of the tissue characterized as fibrotic tissue from the processing the imaging data, identifying a cardiac tissue ablation target based on the metric, and providing an AF treatment plan that includes the cardiac tissue ablation target as at least a portion of the AF treatment plan.
    Type: Grant
    Filed: November 5, 2015
    Date of Patent: June 23, 2020
    Assignee: The Johns Hopkins University
    Inventors: Natalia A. Trayanova, Patrick M. Boyle, Sohail Zahid