Patient-specific hemodynamics of the cardio vascular system

• US 20100241404A1
• Filed: 03/17/2010
• Published: 09/23/2010
• Est. Priority Date: 03/17/2009
• Status: Active Grant

• Current Assignee: Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Original Assignee: Board of Trustees of the Leland Stanford Junior University (Stanford Management Co.)
• Inventors: Kim, Hyun Jin, Coogan, Jessica S., Taylor, Charles A.
• Granted Patent: US 9,405,886 B2
• Time in Patent Office: Days
• US Class Current: 703/1
• CPC Class Codes: G06T 19/00 Manipulating 3D models or images for computer graphics
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/00 ICT specially adapted for the handling or processing of medical images computed tomography A61B6/03
• CPC Class Codes: G16H 30/20 for handling medical images, e.g. DICOM, HL7 or PACS
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 50/50 for simulation or modelling of medical disorders

Abstract

A noninvasive patient-specific method is provided to aid in the analysis, diagnosis, prediction or treatment of hemodynamics of the cardiovascular system of a patient. Coronary blood flow and pressure can be predicted using a 3-D patient image-based model that is implicitly coupled with a model of at least a portion of the remaining cardiovascular system. The 3-D patient image-based model includes at least a portion of the thoracic aorta and epicardial coronaries of the patient. The shape of one or more velocity profiles at the interface of the models is enforced to control complex flow features of recirculating or retrograde flow thereby minimizing model instabilities and resulting in patient-specific predictions of coronary flow rate and pressure. The invention allows for patient-specific predictions of the effect of different or varying physiological states and hemodynamic benefits of coronary medical interventions, percutaneous coronary interventions and surgical therapies.

Claims

1. A computer-implemented noninvasive patient-specific method for aiding in the analysis, diagnosis, prediction or treatment of hemodynamics of the cardiovascular system of said patient, comprising:

(a) having a 3-D patient image-based model of;

(i) at least a portion of the thoracic aorta of said patient and (ii) at least a portion of the epicardial coronaries of said patient;

(b) having a model implicitly coupled with said 3-D patient image-based model of at least a portion of the remaining cardiovascular system, wherein the shape of at least one of the velocity profiles at the interface between said models is enforced to control one or more flow features including recirculating or retrograde flow, and wherein said models are implemented in a computer system; and

(c) said computer system calculating and outputting coronary blood pressure and coronary blood flow rate using said computer-implemented models.

2. The method as set forth in claim 1, wherein said model of at least a portion of the remaining cardiovascular system comprising a lumped parameter heart model, a lumped parameter systemic vascular model, a lumped parameter pulmonary vascular model, or any combination thereof.

3. The method as set forth in claim 1, wherein the shape of at least one of said velocity profiles at the interface between said models is enforced with an augmented Lagrangian method.

4. The method as set forth in claim 1, wherein said implicit coupling between said models is defined as the simultaneous solution of blood flow in said 3-D patient image-based model and said model of at least the portion of the remaining cardiovascular system.

5. The method as set forth in claim 1, wherein at least one of the models is varied to predict the effect of different or varying physiological states on said coronary blood pressure and said coronary blood flow rate.

6. The method as set forth in claim 1, wherein at least one of the models is varied to predict the effect of different or varying hemodynamic states on said coronary blood pressure and said coronary blood flow rate.

7. The method as set forth in claim 1, wherein at least one of the models is varied to predict one or more hemodynamic benefits of a coronary medical intervention, a percutaneous coronary intervention or a surgical therapy on said coronary blood pressure and said coronary blood flow rate.