Systems and methods for determining and visualizing perfusion of myocardial muscle

• US 10,080,613 B2
• Filed: 09/08/2015
• Issued: 09/25/2018
• Est. Priority Date: 08/12/2010
• Status: Active Grant

• Current Assignee: Heartflow Inc.
• Original Assignee: Heartflow Inc.
• Inventors: Taylor, Charles A.
• Primary Examiner(s): Clow, Lori A
• Application Number:
  US14/848,021
• Publication Number:
  US 20150379230A1
• Time in Patent Office: 1,113 Days
• Field of Search: None
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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

1. A system for determining and visualizing perfusion of a patient'"'"'s myocardial muscle using computed tomography, comprising:

a data storage device storing instructions for determining and visualizing perfusion of the patient'"'"'s myocardial muscle using computed tomography; and

a processor configured to execute the instructions to perform a method including;

segmenting (1) coronary blood vessels having vulnerable plaque and (2) myocardial muscle, from non-invasively produced patient-specific CT image data of a patient'"'"'s heart;

generating a patient-specific three-dimensional model of blood flow through the coronary blood vessels segmented from the patient-specific image data;

simulating, non-invasively, a blood flow through the coronary blood vessels of the patient-specific three-dimensional model, and determining from the simulation, blood flow into different regions of the myocardial muscle into which different branches of the coronary blood vessels lead;

simulating, non-invasively, a patient-specific local perfusion of the myocardial muscle for the different regions on the basis of the determined blood flow into the different regions of the myocardial muscle and the three-dimensional model;

determining one or more regions that are at risk of insufficient perfusion using the simulated patient-specific local perfusion of the different regions of the myocardial muscle and blood flow through coronary blood vessels having vulnerable plaque, wherein a region is at risk of insufficient perfusion if it comprises a quantifiable loss in local perfusion due to the vulnerable plaque; and

generating a visualization of the myocardial muscle, from which the patient-specific local perfusion of the different regions of the myocardial muscle, the one or more regions that are at risk of insufficient perfusion, and the coronary blood vessels leading to the one or more regions that are at risk of insufficient perfusion are identifiable.

2. The system as claimed in claim 1, further configured for:

calculating a model of the coronary blood vessels and of the myocardial muscle on the basis of the segmented coronary blood vessels and of the left myocardial muscle; and

simulating the blood flow with the aid of the model.

3. A computed tomography scanner comprising the system as claimed in claim 2.

4. The system as claimed in claim 1, further configured for:

simulating the blood flow through the coronary blood vessels on the basis of the segmented coronary blood vessels using a lattice Boltzmann method.

5. The system as claimed in claim 1, further configured for:

determining time functions for an arterial inflow and a venous outflow from the CT image on the basis of an accumulation of contrast agent in the coronary blood vessels and the left myocardial muscle.

6. The system as claimed in claim 5, further configured for receiving data corresponding to an injected contrast agent, wherein the determining of the time functions is further based on the received data.

7. The system as claimed in claim 1, further configured for:

simulating a dynamic accumulation of contrast agent in the different branches of the coronary blood vessels to determine anatomical characteristics of the different branches of the coronary blood vessels affecting local perfusion; and

calculating perfusion parameters for the perfusion of the myocardial muscle from the anatomical characteristics affecting local perfusion.

8. The system as claimed in claim 1, further configured for:

using a statistical model to determine time functions for an arterial inflow and a venous outflow from the CT image on the basis of an accumulation of contrast agent in the coronary blood vessels and the left myocardial muscle.

9. The system as claimed in claim 8, further configured for:

using data corresponding to an injected contrast agent for the purpose of determining the time functions.

10. A computed tomography scanner comprising the system as claimed in claim 1.

11. The system as claimed in claim 1, further configured for:

modifying an anatomical characteristic of a coronary blood vessel leading to the one or more regions that are at risk of insufficient perfusion to produce a modified patient-specific anatomic model, based on a treatment option;

simulate a blood flow through the coronary blood vessel leading to the one or more regions that are at risk of insufficient perfusion on the basis of the modified patient-specific three-dimensional model, and determining from the simulation, blood flow into the one or more regions that are at risk of insufficient perfusion; and

simulate a patient-specific local perfusion of the myocardial muscle for the one or more regions that are at risk of insufficient perfusion on the basis of the determined blood flow into the one or more regions that are at risk of insufficient perfusion.

12. The system as claimed in claim 1, wherein a blood flow characteristic comprises one or more of:

a blood velocity;

a pressure value;

a ratio of pressure values;

a flow rate; and

a fractional flow reserve (FFR) value.

13. A method for simulating a perfusion of a myocardial muscle, comprising:

segmenting (1) coronary blood vessels having vulnerable plaque and (2) myocardial muscle, from non-invasively produced patient-specific CT image data of a patient'"'"'s heart;

generating a patient-specific three-dimensional model of blood flow through the coronary blood vessels segmented from the patient-specific image data;

simulating, non-invasively, a blood flow through the coronary blood vessels of the patient-specific three-dimensional model, and determining from the simulation, blood flow into different regions of the myocardial muscle into which different branches of the coronary blood vessels lead;

simulating, non-invasively, a patient-specific local perfusion of the myocardial muscle for the different regions on the basis of the determined blood flow into the different regions of the myocardial muscle and the three-dimensional model;

determining one or more regions that are at risk of insufficient perfusion using the simulated patient-specific local perfusion of the different regions of the myocardial muscle and blood flow through coronary blood vessels having vulnerable plaque, wherein a region is at risk of insufficient perfusion if it comprises a quantifiable loss in local perfusion due to the vulnerable plaque; and

generating a visualization of the myocardial muscle, from which the patient-specific local perfusion of the different regions of the myocardial muscle, the one or more regions that are at risk of insufficient perfusion, and the coronary blood vessels leading to the one or more regions that are at risk of insufficient perfusion are identifiable.

14. The method of claim 13, wherein the simulating of the blood flow includes:

calculating a model of the coronary blood vessels on the basis of the segmented coronary blood vessels; and

simulating the blood flow with the aid of the model.

15. The method of claim 13, wherein the simulating of the blood flow is done using a lattice Boltzmann method.

16. The method of claim 13, wherein the simulating of the blood flow includes determining time functions for an arterial inflow and a venous outflow from the imaging data on the basis of an accumulation of a contrast agent in the coronary blood vessels.

17. A non-transitory computer readable medium storing instructions, when executed by a processor, cause the processor to:

segment (1) coronary blood vessels having vulnerable plaque and (2) myocardial muscle, from non-invasively produced patient-specific CT image data of a patient'"'"'s heart;

generate a patient-specific three-dimensional model of blood flow through the coronary blood vessels segmented from the patient-specific CT image data;

simulate, non-invasively, a blood flow through the coronary blood vessels of the patient-specific three-dimensional model, and determining from the simulation, blood flow into different regions of the myocardial muscle into which different branches of the coronary blood vessels lead;

simulate, non-invasively, a patient-specific local perfusion of the myocardial muscle for the different regions on the basis of the determined blood flow into the different regions of the myocardial muscle and the three-dimensional model;

determine one or more regions that are at risk of insufficient perfusion using the simulated patient-specific local perfusion of the different regions of the myocardial muscle and blood flow through coronary blood vessels having vulnerable plaque, wherein a region is at risk of insufficient perfusion if it comprises a quantifiable loss in local perfusion due to the vulnerable plaque; and

generate a visualization of the myocardial muscle, from which the patient-specific local perfusion of the different regions of the myocardial muscle, the one or more regions that are at risk of insufficient perfusion, and the coronary blood vessels leading to the one or more regions that are at risk of insufficient perfusion are identifiable.