Method and system for determining intracranial hemodynamic parameter

1 . A method for determining an intracranial hemodynamic parameter, comprising:

determining a three-dimensional vessel model based on CT angiographic data; and

determining at least one of a boundary condition of each inlet or a boundary condition of each outlet in the three-dimensional vessel model based on CT perfusion imaging data and the CT angiographic data, wherein the CT perfusion imaging data are configured to determine at least one of a first total cerebral blood flow rate at all inlets, a cerebral blood flow rate at each outlet, and a second total cerebral blood flow rate at all outlets in the three-dimensional vessel model.

2 . The method of claim 1 , wherein the determining the at least one of the boundary condition of each inlet or the boundary condition of each outlet in the three-dimensional vessel model comprises determining the boundary condition of each inlet in the three-dimensional model, and the determining the boundary condition of each inlet in the three-dimensional model comprises:

determining angiographic information of each inlet in the three-dimensional vessel model based on the CT angiographic data, the angiographic information of each inlet comprising at least one of a first transluminal attenuation gradient (TAG) or a first CT value of the each inlet in the three-dimensional vessel model;

determining the first total cerebral blood flow rate based on the CT perfusion imaging data, the first total cerebral blood flow rate being a sum of cerebral blood flow rates at all the inlets in the three-dimensional vessel model; and

determining the boundary condition of the each inlet in the three-dimensional vessel model based on the angiographic information of the each inlet and the first total cerebral blood flow rate.

3 . The method of claim 2 , wherein the determining the boundary condition of each inlet in the three-dimensional vessel model based on the angiographic information of the each inlet in the three-dimensional vessel model and the first total cerebral blood flow rate comprises one of the following:

determining a corrected flow rate at each inlet in the three-dimensional vessel model based on the first total cerebral blood flow rate and a ratio of the first TAG corresponding to the each inlet to a total inlet TAG, the total inlet TAG being a sum of the first TAGs of all the inlets in the three-dimensional vessel model;

determining a corrected flow rate at each inlet in the three-dimensional vessel model based on the first total cerebral blood flow rate and a ratio of the first CT value corresponding to the each inlet to a total CT value, the total CT value being a sum of the first CT values of all the inlets in the three-dimensional vessel model; and

determining a corrected flow rate at each inlet in the three-dimensional vessel model based on the ratio of the first TAG corresponding to the each inlet to the total inlet TAG and the ratio of the first CT value corresponding to the each inlet to the total CT value and the first total cerebral blood flow rate.

4 . The method of claim 1 , wherein the determining the at least one of the boundary condition of each inlet or the boundary condition of each outlet in the three-dimensional vessel model comprises determining the boundary condition of each outlet in the three-dimensional model, and the determining the boundary condition of each outlet in the three-dimensional vessel model comprises:

determining the cerebral blood flow rate at each outlet in the three-dimensional vessel model and the second total cerebral blood flow rate at all the outlets based on the CT perfusion imaging data;

determining an outlet area, a second TAG, and a second CT value of each outlet in the three-dimensional vessel model based on the CT angiographic data; and

determining the boundary condition of the each outlet in the three-dimensional vessel model based on one or more of the cerebral blood flow rate at the each outlet, the second total cerebral blood flow rate, the outlet area of the each outlet, the second TAG of the each outlet, and the second CT value of the each outlet.

5 . The method of claim 4 , wherein the determining the boundary condition of each outlet in the three-dimensional vessel model comprises:

determining an outlet resistance value of each outlet in the three-dimensional vessel model based on a total outlet resistance value and a ratio of the cerebral blood flow rate corresponding to the each outlet to the second total cerebral blood flow rate, the total outlet resistance value being a sum of the cerebral blood flow rates at all the outlets in the three-dimensional model; and

determining an arterial viscous resistance and a peripheral resistance of the each outlet based on the outlet resistance value of the each outlet.

6 . The method of claim 4 , wherein the determining the boundary condition of each outlet in the three-dimensional vessel model comprises:

determining a compliance of the each outlet in the three-dimensional vessel model based on a total outlet compliance and the ratio of the cerebral blood flow rate corresponding to the each outlet to the second total cerebral blood flow rate, the total outlet compliance comprising a sum of compliances of all the outlets in the three-dimensional vessel model.

7 . The method of claim 1 , further comprising:

adjusting the three-dimensional vessel model based on adjustment parameters to obtain an adjusted three-dimensional vessel model; and

determining a hemodynamic parameter for a specified region in the adjusted three-dimensional vessel model based on the adjusted three-dimensional vessel model and boundary conditions corresponding to the adjusted three-dimensional vessel model.

8 . The method of claim 7 , further comprising:

determining the boundary conditions corresponding to the adjusted three-dimensional vessel model based on the adjustment parameters.

9 . A non-transitory computer-readable storage medium having computer instructions stored thereon, wherein, when executed by a processor, the computer instructions cause the processor to:

determine a three-dimensional vessel model based on CT angiography data; and

determine at least one of a boundary condition of each inlet or a boundary condition of each outlet in the three-dimensional vessel model based on CT perfusion imaging data and the CT angiography data, wherein the CT perfusion imaging data are configured to determine at least one of a first total cerebral blood flow rate at all inlets, a cerebral blood flow rate at each outlet, and a second total cerebral blood flow rate at all outlets in the three-dimensional vessel model.

10 . The non-transitory computer-readable storage medium of claim 9 , wherein

the instructions, when executed by the processor, cause the processor to:

determine angiographic information of each inlet in the three-dimensional vessel model based on the CT angiographic data, the angiographic information of each inlet comprising at least one of a first TAG or a first CT value of the each inlet in the three-dimensional vessel model;

determine the first total cerebral blood flow rate based on the CT perfusion imaging data, the first total cerebral blood flow rate being a sum of cerebral blood flow rates at all the inlets in the three-dimensional vessel model; and

determine the boundary condition of the each inlet in the three-dimensional vessel model based on the angiographic information of the each inlet and the first total cerebral blood flow rate.

11 . The non-transitory computer-readable storage medium of claim 10 , wherein

the instructions, when executed by the processor, cause the processor to perform one of the following:

determining a corrected flow rate at each inlet in the three-dimensional vessel model based on the first total cerebral blood flow rate and a ratio of the first TAG corresponding to the each inlet to a total inlet TAG, the total inlet TAG being a sum of the first TAGs of all the inlets in the three-dimensional vessel model;

determining a corrected flow rate at each inlet in the three-dimensional vessel model based on the first total cerebral blood flow rate and a ratio of the first CT value corresponding to the each inlet to a total CT value, the total CT value being a sum of the first CT values of all the inlets in the three-dimensional vessel model; or

determining a corrected flow rate at each inlet in the three-dimensional vessel model based on the ratio of the first TAG corresponding to the each inlet to the total inlet TAG and the ratio of the first CT value corresponding to the each inlet to the total CT value and the first total cerebral blood flow rate.

12 . The non-transitory computer-readable storage medium of claim 9 , wherein

the instructions, when executed by the processor, cause the processor to:

determine the cerebral blood flow rate at each outlet in the three-dimensional vessel model and the second total cerebral blood flow rate at all the outlets based on the CT perfusion imaging data;

determine an outlet area, a second TAG, and a second CT value of each outlet in the three-dimensional vessel model based on the CT angiographic data; and

determine the boundary condition of the each outlet in the three-dimensional vessel model based on one or more of the cerebral blood flow rate at the each outlet, the second total cerebral blood flow rate, the outlet area of the each outlet, the second TAG of the each outlet, and the second CT value of the each outlet.

13 . The non-transitory computer-readable storage medium of claim 12 , wherein

the instructions, when executed by the processor, cause the processor to:

determine an outlet resistance value of each outlet in the three-dimensional vessel model based on a total outlet resistance value and a ratio of the cerebral blood flow rate corresponding to the each outlet to the second total cerebral blood flow rate, the total outlet resistance value being a sum of the cerebral blood flow rates at all the outlets in the three-dimensional model; and

determine an arterial viscous resistance and a peripheral resistance of the each outlet based on the outlet resistance value of the each outlet.

14 . The non-transitory computer-readable storage medium of claim 12 , wherein

the instructions, when executed by the processor, cause the processor to:

determine a compliance of the each outlet in the three-dimensional vessel model based on a total outlet compliance and the ratio of the cerebral blood flow rate corresponding to the each outlet to the second total cerebral blood flow rate, the total outlet compliance comprising a sum of compliances of all the outlets in the three-dimensional vessel model.

15 . The non-transitory computer-readable storage medium of claim 9 , wherein

the instructions, when executed by the processor, cause the processor to:

adjust the three-dimensional vessel model based on adjustment parameters to obtain an adjusted three-dimensional vessel model; and

determine a hemodynamic parameter for a specified region in the adjusted three-dimensional vessel model based on the adjusted three-dimensional vessel model and boundary conditions corresponding to the adjusted three-dimensional vessel model.

16 . The non-transitory computer-readable storage medium of claim 15 , wherein

the instructions, when executed by the processor, cause the processor to:

determine the boundary conditions corresponding to the adjusted three-dimensional vessel model based on the adjustment parameters.

17 . A device for determining an intracranial hemodynamic parameter, comprising:

a processor; and

a memory including computer instructions stored thereon which, when executed by the processor, causes the processor to:

determine a three-dimensional vessel model based on CT angiography data; and

determine at least one of a boundary condition of each inlet or a boundary condition of each outlet in the three-dimensional vessel model based on CT perfusion imaging data and the CT angiography data, wherein the CT perfusion imaging data are configured to determine at least one of a first total cerebral blood flow rate at all inlets, a cerebral blood flow rate at each outlet, and a second total cerebral blood flow rate at all outlets in the three-dimensional vessel model.

18 . The device of claim 17 , wherein the instructions, when executed by the processor, cause the processor to:

determine angiographic information of each inlet in the three-dimensional vessel model based on the CT angiographic data, the angiographic information of each inlet comprising at least one of a first TAG or a first CT value of the each inlet in the three-dimensional vessel model;

determine the first total cerebral blood flow rate based on the CT perfusion imaging data, the first total cerebral blood flow rate being a sum of cerebral blood flow rates at all the inlets in the three-dimensional vessel model; and

determine the boundary condition of the each inlet in the three-dimensional vessel model based on the angiographic information of the each inlet and the first total cerebral blood flow rate.

19 . The device of claim 17 , wherein the instructions, when executed by the processor, cause the processor to:

determine the cerebral blood flow rate at each outlet in the three-dimensional vessel model and the second total cerebral blood flow rate at all the outlets based on the CT perfusion imaging data;

determine an outlet area, a second TAG, and a second CT value of each outlet in the three-dimensional vessel model based on the CT angiographic data; and

determine the boundary condition of the each outlet in the three-dimensional vessel model based on one or more of the cerebral blood flow rate at the each outlet, the second total cerebral blood flow rate, the outlet area of the each outlet, the second TAG of the each outlet, and the second CT value of the each outlet.

20 . The device of claim 19 , wherein the instructions, when executed by the processor, cause the processor to:

the instructions, when executed by the processor, cause the processor to:

determine an outlet resistance value of each outlet in the three-dimensional vessel model based on a total outlet resistance value and a ratio of the cerebral blood flow rate corresponding to the each outlet to the second total cerebral blood flow rate, the total outlet resistance value being a sum of the cerebral blood flow rates at all the outlets in the three-dimensional model; and

determine an arterial viscous resistance and a peripheral resistance of the each outlet based on the outlet resistance value of the each outlet.