Determining arterial wall property with blood flow model

1. A method for determining a wall property of an artery, the method comprising:

acquiring patient data, wherein acquiring the patient data includes medical imaging;

extracting physical data from the patient data;

obtaining an individual blood flow model, the obtaining comprising applying the physical data to a blood flow model of the artery;

determining the wall property of the artery directly or indirectly from the individual blood flow model, the wall property comprising arterial compliance, arterial elastance, or arterial compliance and arterial elastance, wherein determining the wall property comprises adapting a wall stiffness along the artery, such that a measured cross-sectional area variation of the artery acquired from the medical imaging is matched with a computed cross-sectional area variation of the artery according to the individual blood flow model; and

displaying the wall property on an image of the artery, such that a condition of the artery is estimable by a physician, wherein the wall property varies spatially with geometric coordinates on the image of the artery.

2. The method of claim 1 , wherein acquiring the patient data includes a non-invasive measurement.

3. The method of claim 1 , wherein the physical data includes an anatomical model of the artery, blood flow data, or the anatomical model of the artery and the blood flow data.

4. The method of claim 1 , wherein the blood flow model is a fluid-structure interaction blood flow model.

5. The method of claim 1 , wherein the blood flow model is based on a mass conservation equation and a longitudinal momentum conservation equation, the mass conservation equation and the longitudinal momentum conservation equation both relying on a time-varying cross-sectional area and a time-varying flow-rate, and

wherein the mass conservation equation and the longitudinal momentum conservation equation are coupled by a state equation.

6. The method of claim 1 , wherein determining the wall property of the artery comprises directly determining a local area compliance as the wall property from the blood flow model.

7. The method of claim 1 , further comprising determining a local wave speed of blood in the artery from the blood flow model,

wherein determining the wall property of the artery comprises estimating the wall property from the local wave speed.

8. The method of claim 1 , wherein the artery is an aorta.

9. A device for determining a wall property of an artery, the device comprising:

an acquisition device configured to acquire patient data, wherein the acquisition device is a medical imaging device, and wherein acquisition of the patient data includes medical imaging; and

a processor configured to:

extract physical data from the patient data;

obtain an individual blood flow model, the obtainment of the individual blood flow model comprising application of the physical data to a blood flow model of the artery;

determine the wall property of the artery directly or indirectly from the individual blood flow model, the wall property comprising arterial compliance, arterial elastance, or arterial compliance and arterial elastance, the determination of the wall property comprising adaptation of a wall stiffness along the artery, such that a measured cross-sectional area variation of the artery acquired from the medical imaging is matched with a computed cross-sectional area variation of the artery according to the individual blood flow model; and

display the wall property on an image of the artery, such that a condition of the artery is estimable by a physician, wherein the wall property varies spatially with geometric coordinates on the image of the artery.

10. The device of claim 9 , wherein the artery is an aorta.

11. The device of claim 9 , wherein the acquisition of the patient data includes a non-invasive measurement.

12. The device of claim 9 , wherein the physical data includes an anatomical model of the artery, blood flow data, or the anatomical model of the artery and the blood flow data.

13. The device of claim 9 , wherein the blood flow model is a fluid-structure interaction blood flow model.

14. The device of claim 9 , wherein the blood flow model is based on a mass conservation equation and a longitudinal momentum conservation equation, the mass conservation equation and the longitudinal momentum conservation equation both relying on a time-varying cross-sectional area and a time-varying flow-rate, and

wherein the mass conservation equation and the longitudinal momentum conservation equation are coupled by a state equation.