Fluid-dynamic analysis of a vascular tree using angiography

Patent metadata

Field	Value
Publication number	US-9633454-B2
Application number	US-201514729961-A
Country	US
Kind code	B2
Filing date	Jun 3, 2015
Priority date	Jun 4, 2014
Publication date	Apr 25, 2017
Grant date	Apr 25, 2017

Abstract

A method for ascertaining a fluid-dynamic characteristic value of a resilient vascular tree, through which a fluid flows in a pulsating manner, is provided. At least one 2D projection, respectively, of the resilient vascular tree is generated by a projection device from different angles of projection, and a digital 3D reconstruction of the vascular tree is generated by an analysis device based on of the 2D projections. A geometry of at least one vessel of the resilient vascular tree is estimated based on the 3D reconstruction, and at least one fluid state in the resilient vascular tree is ascertained from the geometry and predetermined resilient properties of the resilient vascular tree. The at least one fluid-dynamic characteristic value is calculated as a function of the at least one fluid state.

First claim

The invention claimed is:

1. A method for ascertaining a fluid-dynamic characteristic value of a resilient vascular tree, through which a fluid flows in a pulsating manner, the method comprising:
generating, by a detector of a projection device, at least one two-dimensional (2D) projection, respectively, of the resilient vascular tree from different angles of projection; and
generating, by a processor, a digital three-dimensional (3D) reconstruction of the resilient vascular tree based on the 2D projections;
estimating, by the processor, a geometry of at least one vessel of the resilient vascular tree based on the digital 3D reconstruction;
ascertaining, by the processor, at least one fluid state in the resilient vascular tree from the geometry and predetermined resilient properties of the resilient vascular tree; and
calculating, by the processor, the fluid-dynamic characteristic value as a function of the at least one fluid state,
wherein the at least one fluid state comprises a fluid volume, a respective fluid pressure at at least two different instants, a respective fluid pressure at two different locations at least in the resilient vascular tree, or any combination thereof.

2. The method of claim 1 , wherein the projection device comprises a C-arm angiography system.

3. The method of claim 1 , wherein estimating the geometry of the at least one vessel in the 3D reconstruction comprises:
ascertaining one 3D route, respectively, of the at least one vessel;
projecting the 3D route onto one of the 2D projections; and
starting from the projected 3D route in the 2D projection, ascertaining an edge of the at least one vessel and projecting the edge back into the 3D reconstruction.

4. The method of claim 3 , further comprising:
ascertaining, in the 2D projection, a 2D route of the at least one vessel; and
registering the projected 3D route and the 2D route relative to each other.

5. The method of claim 3 , further comprising:
projecting the 3D route onto at least one other of the 2D projections for ascertaining a respective further edge of the at least one vessel; and
ascertaining a profile line of the at least one vessel based on all back-projected edges.

6. The method of claim 5 , wherein generating the at least one 2D projection comprises generating 2D projections at a plurality of different pulse phases of a pulse cycle of the fluid that flows in a pulsating manner, and
wherein the 3D route is only projected onto the 2D projections in which a difference in the pulse phases is less than a predetermined tolerance value.

7. The method of claim 1 , wherein ascertaining the at least one fluid state comprises ascertaining, starting from the geometry, the at least one fluid state using a computational fluid-dynamics method.

8. The method of claim 1 , further comprising ascertaining an estimate for a quantity of fluid flowing per pulse beat based on a volume, a mass, or a combination thereof of an organ supplied with the fluid via the resilient vascular tree.

9. The method of claim 1 , further comprising ascertaining an absolute fluid pressure value in the resilient vascular tree, on a vessel that fluidically communicates with the resilient vascular tree, or a combination thereof.

10. The method of claim 1 , wherein calculating the fluid-dynamic characteristic value comprises ascertaining a drop in pressure in the fluid caused by a vasoconstriction of the resilient vascular tree, a value that describes a fractional flow reserve, or a combination thereof as the fluid-dynamic characteristic value.

11. The method of claim 1 , further comprising:
simulating a manipulation of the resilient vascular tree in the 3D reconstruction; and
predicting a manipulation-induced fluid-dynamic characteristic value with the aid of the simulation.

12. A C-arm X-ray system comprising:
a projection unit comprising:
an X-ray source configured to penetrate a vascular tree in a body; and
an X-ray detector configured to generate two-dimensional (2D) projection data of 2D projections of the penetrated vascular tree; and
an analysis device configured to:
generate a digital three-dimensional (3D) reconstruction of the vascular tree based on the 2D projections;
estimate a geometry of at least one vessel of the vascular tree based on the digital 3D reconstruction;
ascertain at least one fluid state in the vascular tree from the geometry and predetermined resilient properties of the vascular tree; and
calculate a fluid-dynamic characteristic value as a function of the at least one fluid state,
wherein the at least one fluid state comprises a fluid volume, a respective fluid pressure at at least two different instants, a respective fluid pressure at two different locations at least in the resilient vascular tree, or any combination thereof.

13. The C-arm X-ray system of claim 12 , wherein the projection device comprises a C-arm angiography system.

14. The C-arm X-ray system of claim 12 , wherein the estimation of the geometry of the at least one vessel in the 3D reconstruction comprises:
ascertainment of one 3D route, respectively, of the at least one vessel;
projection of the 3D route onto one of the 2D projections; and
starting from the projected 3D route in the 2D projection, ascertainment of an edge of the at least one vessel and projecting the edge back into the 3D reconstruction.

15. The C-arm X-ray system of claim 14 , wherein the analysis device is further configured to:
ascertain, in the 2D projection, a 2D route of the at least one vessel; and
register the projected 3D route and the 2D route relative to each other.

16. A method for ascertaining a fluid-dynamic characteristic value of a resilient vascular tree, through which a fluid flows in a pulsating manner, the method comprising:
generating, by a projection device, at least one two-dimensional (2D) projection, respectively, of the resilient vascular tree from different angles of projection;
generating, by a processor, a digital three-dimensional (3D) reconstruction of the resilient vascular tree based on the 2D projections;
estimating, by the processor, a geometry of at least one vessel of the resilient vascular tree based on the digital 3D reconstruction;
ascertaining, by the processor, at least one fluid state in the resilient vascular tree from the geometry and predetermined resilient properties of the resilient vascular tree;
calculating, by the processor, the fluid-dynamic characteristic value as a function of the at least one fluid state;
simulating a manipulation of the resilient vascular tree in the 3D reconstruction; and
predicting a manipulation-induced fluid-dynamic characteristic value with the aid of the simulation.

17. A method for ascertaining a fluid-dynamic characteristic value of a resilient vascular tree, through which a fluid flows in a pulsating manner, the method comprising:
generating, by a projection device, at least one two-dimensional (2D) projection, respectively, of the resilient vascular tree from different angles of projection;
generating, by a processor, a digital three-dimensional (3D) reconstruction of the resilient vascular tree based on the 2D projections;
estimating, by the processor, a geometry of at least one vessel of the resilient vascular tree based on the digital 3D reconstruction, the estimating of the geometry of the at least one vessel in the digital 3D reconstruction comprising ascertaining a 3D route, respectively, of the at least one vessel, projecting the 3D route onto one of the 2D projections, and starting from the projected 3D route in the 2D proj

Assignees

• Lauritsch Günter
• Redel Thomas
• Scheuering Michael
• Schwemmer Chris
• Siemens Ag

Inventors

• Lauritsch Günter
• Redel Thomas
• Scheuering Michael
• Schwemmer Chris

Classifications

• G06T12/00 Primary

  Tomographic reconstruction from projections · CPC title

• A61B6/486

  involving generating temporal series of image data · CPC title

• G06T7/004

  Physics · mapped topic

• G06T11/003 Primary

  Physics · mapped topic

• A61B6/5264

  due to motion · CPC title