IP Library Granted Patent US 12,402,827
Granted Patent B2
US 12,402,827 · App. 17/372,470 · Granted Sep 2, 2025

Methods of ventricular arrhythmia localization using a 3D heart model

Inventors: Barry Yomtov (Marblehead, MA); Tracy K. Ginnings (Salem, VA)
Assignee: KardioNav, Inc.
A61B5/367A61B5/055A61B5/28A61B5/339
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,402,827
App. No.
17/372,470
Granted
Sep 2, 2025
Kind
B2
Abstract

A method of arrhythmia localization and model merging includes: generating a three-dimensional (3D) heart model of a heart of a patient, the 3D heart model including myocardium wall thickness measurements of the heart; generating an activation map of the heart based on electrocardiogram (ECG) data recorded during premature ventricular contraction (PVC) of the heart, the activation map including a PVC onset point; modifying the 3D heart model to include the PVC onset point; and displaying the modified 3D heart model on a display device.

Claims (22)

1. A method of generating a modified 3D heart model with arrhythmia localization, comprising:

generating image data of a heart of a patient using a magnetic resonance imaging (MRI) device or a computed tomography (CT) imaging device;

generating by a processing unit coupled to a memory a three-dimensional (3D) heart model of the heart using the image data, the 3D heart model comprising myocardium wall thickness measurements of the heart derived from the image data;

capturing using a 3D camera a 3D image of the patient's torso including the location of ECG electrodes on the patient used to collect electrocardiogram (ECG) data;

merging by the processing unit the 3D image of the patient's torso with the 3D heart model to form a torso and heart model comprising positions of the ECG electrodes relative to the heart model based on the location of the ECG electrodes in the 3D image;

generating by the processing unit an activation map of the heart by combining ECG data, recorded using the ECG electrodes during ventricular tachycardia (VT) of the heart, with the heart and torso model providing the positions of the ECG electrodes;

performing by the processing unit an inverse solution calculation, using the ECG data recorded during VT and the positions of the ECG electrodes in the heart and torso model, to identify a VT exit point on the activation map;

modifying by the processing unit the 3D heart model to include the VT exit point identified on the activation map; and

delivering, based on the VT exit point identified in the modified 3D heart model, ablation therapy to the identified VT exit point location to treat the ventricular tachycardia.

2. The method of claim 1 , wherein generating by the processing unit a 3D heart model further comprises:

selecting by the processing unit a cardiac 3D reference model stored in the memory based on the image data; and

adjusting by the processing unit the 3D reference model based on image data.

3. The method of claim 1 , wherein the VT exit point includes an indication as to whether the VT exit point is located on an endocardial surface or an epicardial surface of the modified 3D heart model.

4. The method of claim 1 , wherein the modified 3D heart model comprises at least one heart structure selected from an aorta, an aortic arch, coronary vascular structures, pulmonary vascular structures, or heart scar tissue indicative of ischemic heart disease.

5. The method of claim 1 , wherein:

the activation map comprises multiple VT exit points; and

modifying by the processing unit the 3D heart model comprises modifying the 3D heart model to include the multiple VT exit points.

6. The method of claim 5 , wherein the multiple VT exit points are displayed by the processing unit on the modified 3D heart model as a density distribution.

7. A medical system that provides arrhythmia localization and model merging, comprising:

a memory;

a 3D camera; and

a processing unit coupled to the memory and the 3D camera and configured with processor-executable instructions to perform the method of claim 1 .

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 8, 2025
From: CATHETER PRECISION LLC
To: KARDIONAV, INC.
Reel/Frame 071635/0366 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 12, 2021
From: YOMTOV, BARRY; GINNINGS, TRACY K.
To: CATHETER PRECISION, INC.
Reel/Frame 057157/0993 →
Continuity (2)
Provisional Application 63050542 · Jul 10, 2020
Related Publication 20220007990A1 · Jan 13, 2022
References Cited (74)
US 5657755A · Desai · 1997 [cited by applicant]
US 5687737A · Branham et al. · 1997 [cited by applicant]
US 7787951B1 · Min · 2010 [cited by applicant]
US 8155739B2 · Keel et al. · 2012 [cited by applicant]
US 8326419B2 · Rosenberg et al. · 2012 [cited by applicant]
US 8478388B2 · Nguyen et al. · 2013 [cited by applicant]
US 8615298B2 · Ghosh et al. · 2013 [cited by applicant]
US 9078573B2 · Ramanathan et al. · 2015 [cited by applicant]
US 9155897B2 · Ghosh et al. · 2015 [cited by applicant]
US 9265951B2 · Sweeney · 2016 [cited by applicant]
US 9278219B2 · Ghosh · 2016 [cited by applicant]
US 9381363B2 · Ryu et al. · 2016 [cited by applicant]
US 9439578B2 · Thakur et al. · 2016 [cited by applicant]
US 9510763B2 · Ghosh et al. · 2016 [cited by applicant]
US 9579064B2 · Kovtun et al. · 2017 [cited by applicant]
US 9586052B2 · Gillberg et al. · 2017 [cited by applicant]
US 9681817B2 · Maskara et al. · 2017 [cited by applicant]
US 9875544B2 · Rai et al. · 2018 [cited by applicant]
US 9877789B2 · Ghosh · 2018 [cited by applicant]
US 9986928B2 · Gillberg et al. · 2018 [cited by applicant]
US 10016145B2 · Thakur et al. · 2018 [cited by applicant]
US 10369358B2 · Monteiro · 2019 [cited by applicant]
US 10471263B2 · Pacheco · 2019 [cited by applicant]
US 10713790B2 · Adler · 2020 [cited by applicant]
US 10932863B2 · Adler · 2021 [cited by applicant]
US 20090099679A1 · Sandoval et al. · 2009 [cited by applicant]
US 20090287087A1 · Gwerder et al. · 2009 [cited by applicant]
US 20100268059A1 · Ryu et al. · 2010 [cited by applicant]
US 20110071583A1 · Muntendam · 2011 [cited by applicant]
US 20120157822A1 · van Dam et al. · 2012 [cited by applicant]
US 20130116533A1 · Lian et al. · 2013 [cited by applicant]
US 20130116681A1 · Zhang · 2013 [cited by applicant]
US 20130310890A1 · Sweeney · 2013 [cited by applicant]
US 20140107510A1 · Bogun et al. · 2014 [cited by applicant]
US 20140194760A1 · Albert · 2014 [cited by applicant]
US 20160249880A1 · Konofagou et al. · 2016 [cited by applicant]
US 20160331261A1 · Someya et al. · 2016 [cited by applicant]
US 20160342761A1 · Whiting et al. · 2016 [cited by applicant]
US 20160345833A1 · Adams · 2016 [cited by applicant]
US 20170011197A1 · van Dam et al. · 2017 [cited by applicant]
US 20170071492A1 · van Dam et al. · 2017 [cited by applicant]
US 20170178403A1 · Krummen et al. · 2017 [cited by applicant]
US 20180064947A1 · Pacheco et al. · 2018 [cited by applicant]
US 20180303345A1 · Adler · 2018 [cited by examiner]
US 20190038357A1 · Adler · 2019 [cited by applicant]
US 20190053728A1 · Yang · 2019 [cited by examiner]
US 20190060006A1 · Van Dam et al. · 2019 [cited by applicant]
US 20190111265A1 · Zhou · 2019 [cited by applicant]
US 20200029817A1 · Adler · 2020 [cited by applicant]
US 20200061383A1 · Yomtov et al. · 2020 [cited by applicant]
CN 101828915A · 2010 [cited by applicant]
WO 2009129475A1 · 2009 [cited by applicant]
WO 2012061612A2 · 2012 [cited by applicant]
WO 2013006713A2 · 2013 [cited by applicant]
WO 2015170978A1 · 2015 [cited by applicant]
International Search Report and Written Opinion for counterpart Application No. PCT/US2019/043900, dated Nov. 20, 2019. [cited by applicant]
International Preliminary Report on Patentability for counterpart Application No. PCT/US2019/043900, dated Feb. 11, 2021. [cited by applicant]
International Search Report and Written Opinion for counterpart Application No. PCT/US2017/050188, dated Nov. 7, 2017. [cited by applicant]
International Preliminary Report on Patentability for counterpart Application No. PCT/US2017/050188, dated Mar. 21, 2019. [cited by applicant]
International Search Report and Written Opinion for counterpart Application No. PCT/US2018/044746, dated Jan. 28, 2019. [cited by applicant]
International Preliminary Report on Patentability for counterpart Application No. PCT/US2018/044746, dated Feb. 13, 2020. [cited by applicant]
Invitation to Pay Additional Fees from EP for counterpart Application No. PCT/US2018/044746, dated Nov. 14, 2018. [cited by applicant]
International Search Report and Written Opinion for counterpart Application No. PCT/US2020/045764, dated Nov. 17, 2020. [cited by applicant]
Daubert, C., et al., “Avoiding non-responders to cardiac resynchronization therapy: a practical guide,” European Heart Journal Advance Access, European Heart Journal, doi: 10.1093/eurheart/ehw270, published Jul. 1, 2016. [cited by applicant]
Ploux, Sylvain MD, et al., “Noninvasive Electrocardiogramapping to Improve Patient Selection for Cardiac Resynchronization Therapy,” Journal of Americal College of Cardiology, vol. 61, No. 24, ISSN 0735-1097/$36.00, 201… [cited by applicant]
Noheria, et al., “Ablating Premature Ventricular Complexes: Justification, Techniques, and Outcomes,” MDCVJ | XI (2), houstonmethodist.org/debakey-journal, 2015, pp. 109-120. [cited by applicant]
Schulze, Walther et al., “Automatic camera-based identification and 3-D reconstruction of electrode positions in electrocardiographic imaging,” Biomed. Eng.-Biomed. Tech. 59(6): 2014, pp. 515-528. [cited by applicant]
Van Dam, Peter, et al., “New Computer Program for detecting 12 Lead ECG Misplacement using a 3D Kinect Camera,” Computing in Cardiology, 40, ISSN 2325-8861, 2013, pp. 1175-1178. [cited by applicant]
Vijayaraman, Pugazhendhi Dr., et al., “His-Optimized Cardiac Resynchronization Therapy to Maximize Electrical Resynchronization a Feasibility Study,” Circ Arrhythm Electrophysiol, Feb. 2019, 12:e006934. DOI: 10.1161/CIR… [cited by applicant]
Padeletti, Luigi MD., et al., “Simultaneous His Bundle and Left Ventricular Pacing for Optimal Cardiac Resynchronization Therapy Delivery Acute Hemodynamic Assessment by Pressure-Volume Loops,” Circ Arrhythm Electrophys… [cited by applicant]
Copending U.S. Appl. No. 17/174,328, Inventor: Barry Yomtov, Title: “Method of Providing Ventricular Arhythmia Localization with a Heart Model Derived from Machine Learning,” filed Feb. 11, 2021. [cited by applicant]
Non-Final Office Action received in copending U.S. Appl. No. 17/174,308 dated Sep. 12, 2023. [cited by applicant]
Copending U.S. Appl. No. 17/174,308, Inventor: Barry Yomtov, Title: Method of Providing Ventricular Arrhythmia Localization and Myocardium Wall Thickness Within a 3D Heart Model filed Feb. 11, 2021. [cited by applicant]
Copending U.S. Appl. No. 17/346,074, Inventor: David Jenkins, Title: Methods and Apparatus for Determining Likely Outcomes of an Electrophysiology Procedure filed Jun. 11, 2021. [cited by applicant]