IP Library Granted Patent US 11,135,012
Granted Patent B2
US 11,135,012 · App. 14/983,861 · Granted Oct 5, 2021

Method and system for image processing to determine patient-specific blood flow characteristics

Inventor: Charles A. Taylor (Menlo Park, CA)
Assignee: HeartFlow, Inc.
A61B34/10A61B5/004A61B5/0035A61B5/0044A61B5/02A61B5/021A61B5/024A61B5/026A61B5/02007A61B5/029A61B5/02028A61B5/0263A61B5/055A61B5/1075A61B5/1118A61B5/22A61B5/4848A61B5/6852A61B5/7246A61B5/7275A61B5/7278A61B5/745A61B6/03A61B6/032A61B6/481A61B6/503A61B6/504A61B6/507A61B6/5205A61B6/5217A61B6/5229A61B8/02A61B8/04A61B8/06A61B8/065A61B8/481A61B8/5223A61B8/5261A61B34/25A61M5/007G01R33/5601G01R33/5635G01R33/56366G06F17/10G06F30/20G06F30/23G06G7/60G06K9/00147G06K9/46G06K9/4604G06K9/52G06K9/6215G06K9/6267G06K9/6298G06T7/0012G06T7/0014G06T7/11G06T7/12G06T7/13G06T7/149G06T7/20G06T7/60G06T7/62G06T7/70G06T7/73G06T7/74G06T11/00G06T11/001G06T11/008G06T11/20G06T11/60G06T15/10G06T17/00G06T17/005G06T17/20G16B5/00G16B45/00G16H10/40G16H10/60G16H30/20G16H30/40G16H50/30G16H50/50G16H50/70G16H70/00A61B5/6868A61B2034/104A61B2034/105A61B2034/107A61B2034/108A61B2090/374A61B2090/3762A61B2090/3764A61B2576/00A61B2576/023G06K2009/4666G06T7/10G06T2200/04G06T2207/10012G06T2207/10072G06T2207/10081G06T2207/10088G06T2207/10104G06T2207/10108G06T2207/20036G06T2207/20124G06T2207/30016G06T2207/30048G06T2207/30104G06T2210/41G06T2211/404Y02A90/10
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Quick Facts
Patent No.
US 11,135,012
App. No.
14/983,861
Granted
Oct 5, 2021
Kind
B2
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.

Claims (59)

1. A method for hemodynamic analysis of cerebral vessels, comprising:

obtaining medical image data of a patient's cerebral vessel;

extracting a geometric solid model of the patient's cerebral vessel from the obtained medical image data, the geometric solid model of the patient's cerebral vessel including an outer surface of the patient's cerebral vessel, at least one of a plaque or a vessel luminal surface of the patient's cerebral vessel, and information regarding an orientation of the patient's cerebral vessel;

coupling a computational fluid dynamics (CFD) and a computational solid mechanics (CSM) simulation based on the extracted geometric solid model of the patient's cerebral vessel;

using the coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations to perform a three-dimensional cerebral blood flow simulation through the extracted geometric solid model of the patient's cerebral vessel, wherein:

the three-dimensional cerebral blood flow simulation includes a simulation of blood flow in contact with one or both of the plaque luminal surface or the vessel luminal surface; and

performing the three-dimensional cerebral blood flow simulation includes computing an output indicative of an effect on the cerebral blood flow due to a change in the orientation of the patient's cerebral vessel caused by a postural change by the patient; and

generating a visualization of the three-dimensional cerebral blood flow simulation or a visualization of the computed output of the three-dimensional cerebral blood flow simulation.

2. The method of claim 1 , wherein the step of extracting a geometric solid model of a patient's cerebral vessel from the obtained medical image data comprises:

detecting a start point and an end point of a vessel segment in the obtained medical image data;

extracting a centerline of the patient's cerebral vessel between the start point and the end point;

generating a volume by assembling 2D cross section images extracted along the centerline; and

segmenting the patient's cerebral vessel in the volume.

3. The method of claim 2 , wherein the step of extracting a centerline of the patient's cerebral vessel between the start point and the end point comprises:

identifying a path between the start point and the end point;

segmenting the patient's cerebral vessel based on image intensities along the path; and

extracting the centerline of the segmented cerebral vessel.

4. The method of claim 1 , wherein the step of performing the three-dimensional cerebral blood flow simulation through the extracted geometric solid model of the patient's cerebral vessel further comprises:

pre-processing the geometric solid model of the patient's cerebral vessel to generate a computational CFD mesh and a computational CSM mesh;

performing CFD simulation on the CFD mesh to calculate simulated velocity and pressure of the blood flow through the patient's cerebral vessel based on simulated deformations of the patient's cerebral vessel; and

performing CSM simulation on the CSM mesh by numerically solving solid mechanics equations to calculate the simulated deformations of the patient's cerebral vessel based on mechanical loading due to the simulated pressure of the blood flow through the patient's cerebral vessel.

5. The method of claim 4 , wherein the step of pre-processing the geometric solid model of the patient's cerebral vessel to generate a computational CFD mesh and a computational CSM mesh comprises:

generating the CFD mesh of the outer surface of the patient's cerebral vessel and the vessel luminal surface or the plaque luminal surface of the patient's cerebral vessel.

6. An apparatus for image processing to perform operations for hemodynamic analysis of cerebral vessels, the operations comprising:

obtaining medical image data of a patient's cerebral vessel;

extracting a geometric solid model of a patient's cerebral vessel from the obtained medical image data, the geometric solid model of the patient's cerebral vessel including an outer surface of the patient's cerebral vessel, at least one of a plaque or a vessel luminal surface of the patient's cerebral vessel, and information regarding an orientation of the patient's cerebral vessel;

coupling a computational fluid dynamics (CFD) and a computational solid mechanics (CSM) simulation based on the extracted geometric solid model of the patient's cerebral vessel;

performing, using the coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations to perform, a three-dimensional cerebral blood flow simulation through the extracted geometric solid model of the patient's cerebral vessel, wherein:

the three-dimensional cerebral blood flow simulation includes a simulation of blood flow in contact with one or both of the plaque luminal surface or the vessel luminal surface; and

performing the three-dimensional cerebral blood flow simulation includes computing an output indicative of an effect on the cerebral blood flow due to a change in the orientation of the patient's cerebral vessel caused by a postural change by the patient; and

generating a visualization of the three-dimensional cerebral blood flow simulation or a visualization of the computed output of the three-dimensional cerebral blood flow simulation.

7. The apparatus of claim 6 , wherein extracting a geometric solid model of a cerebral vessel from the obtained medical image data further comprises:

detecting a start point and an end point of a vessel segment in the obtained medical image data;

extracting a centerline of the patient's cerebral vessel between the start point and the end point;

generating a volume by assembling 2D cross section images extracted along the centerline; and

segmenting the patient's cerebral vessel in the volume.

8. The apparatus of claim 6 , wherein performing the three-dimensional cerebral blood flow simulation through the extracted geometric solid model of the patient's cerebral vessel further comprises:

pre-processing the geometric solid model of the patient's cerebral vessel to generate a computational CFD mesh and a computational CSM mesh;

performing CFD simulation on the CFD mesh to calculate simulated velocity and pressure of the blood flow through the patient's cerebral vessel based on simulated deformations of the patient's cerebral vessel; and

performing CSM simulation on the CSM mesh by numerically solving solid mechanics equations to calculate the simulated deformations of the patient's cerebral vessel wall based on mechanical loading due to the simulated pressure of the blood flow through the patient's cerebral vessel.

9. A non-transitory computer readable medium encoded with computer executable instructions defining a method for hemodynamic analysis of cerebral vessels, the method comprising:

extracting a geometric solid model of a patient's cerebral vessel from obtained medical image data, the geometric solid model of the cerebral vessel including an outer surface of the patient's cerebral vessel, at least one of a plaque or a vessel luminal surface of the patient's cerebral vessel, and information regarding an orientation of the patient's cerebral vessel;

coupling a computational fluid dynamics (CFD) and a computational solid mechanics (CSM) simulation based on the extracted geometric solid model of the patient's cerebral vessel;

performing, using the coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations to perform, a three-dimensional cerebral blood flow simulation through the extracted geometric solid model of the patient's cerebral vessel, wherein:

the three-dimensional cerebral blood flow simulation includes a simulation of blood flow in contact with one or both of the plaque luminal surface or the vessel luminal surface; and

performing the three-dimensional cerebral blood flow simulation includes computing an output indicative of an effect on the cerebral blood flow due to a change in the orientation of the patient's cerebral vessel caused by a postural change by the patient; and

generating a visualization of the three-dimensional cerebral blood flow simulation or a visualization of the computed output of the three-dimensional cerebral blood flow simulation.

10. The non-transitory computer readable medium of claim 9 , wherein the step of extracting a geometric solid model of a cerebral vessel from the obtained medical image data comprises:

detecting a start point and an end point of a vessel segment in the obtained medical image data;

extracting a centerline of the patient's cerebral vessel between the start point and the end point;

generating a volume by assembling 2D cross section images extracted along the centerline; and

segmenting the patient's cerebral vessel in the volume.

11. The non-transitory computer readable medium of claim 9 , wherein the step of performing the three-dimensional cerebral blood flow simulation through the extracted geometric solid model of the patient's cerebral vessel further comprises:

pre-processing the geometric solid model of the patient's cerebral vessel to generate a computational CFD mesh and a computational CSM mesh;

performing CFD simulation on the CFD mesh to calculate simulated velocity and pressure of the blood flow through the patient's cerebral vessel based on simulated deformations of the patient's cerebral vessel; and

performing CSM simulation on the CSM mesh by numerically solving solid mechanics equations to calculate the simulated deformations of the patient's cerebral vessel based on mechanical loading due to the simulated pressure of the blood flow through the patient's cerebral vessel.

12. The non-transitory computer readable medium of claim 11 , wherein the step of pre-processing the geometric solid model of the patient's cerebral vessel to generate a computational CFD mesh and a computational CSM mesh comprises:

generating the CFD mesh corresponding to the geometric solid model of the patient's cerebral vessel; and

generating the CSM mesh corresponding to the geometric solid model of the patient's cerebral vessel.

Assignments (5)
RELEASE OF SECURITY INTEREST Recorded Sep 11, 2025
From: HAYFIN SERVICES LLP
To: HEARTFLOW, INC.
Reel/Frame 072876/0775 →
RELEASE OF SECURITY INTEREST Recorded Jun 21, 2024
From: HAYFIN SERVICES LLP
To: HEARTFLOW, INC.
Reel/Frame 067801/0032 →
SECURITY INTEREST Recorded Jun 18, 2024
From: HEARTFLOW, INC.
To: HAYFIN SERVICES LLP
Reel/Frame 067775/0966 →
SECURITY INTEREST Recorded Jan 20, 2021
From: HEARTFLOW, INC.
To: HAYFIN SERVICES LLP
Reel/Frame 055037/0890 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 8, 2016
From: TAYLOR, CHARLES A.
To: HEARTFLOW, INC.
Reel/Frame 037437/0786 →
Continuity (10)
Continuation 14276442 · May 13, 2014
Continuation 13658739 · Oct 23, 2012
Continuation 13014835 · Jan 27, 2011
Division 13013561 · Jan 25, 2011
Provisional Application 61401462 · Aug 12, 2010
Provisional Application 61401915 · Aug 20, 2010
Provisional Application 61402308 · Aug 26, 2010
Provisional Application 61402345 · Aug 27, 2010
Provisional Application 61404429 · Oct 1, 2010
Related Publication 20160110517A1 · Apr 21, 2016
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