Computational simulation platform for planning of interventional procedures

1. A computational simulation platform for interventional procedures planning, comprising a computer-implemented method that includes:

generating a mesh or meshless three-dimensional (3D) reconstruction of a vessel lumen and a surface of the vessel lumen based on invasive or non-invasive imaging;

assigning material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging, wherein the assigning of the material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging includes: determining wall or plaque thickness, lumen area, plaque eccentricity and plaque constituents based on the invasive or non-invasive imaging; dividing the vessel lumen into sequential zones of plaque material; and assigning a value ranging from purely calcium plaque material to purely lipid plaque material;

importing design and material properties of stents and balloons;

generating a mesh or meshless model of a stent and balloon based on the imported design and material properties;

positioning the modeled stent and balloon within the 3D reconstructed vessel lumen;

performing balloon pre-dilation, stenting and balloon post-dilation computational simulations with the 3D reconstructed vessel lumen and surface of the vessel lumen; and

assessing stent and vessel morphometric and biomechanical measures based on the computational simulations.

2. The computational simulation platform of claim 1 , wherein the invasive or non-invasive imaging comprises at least one of: coronary angiography, intravascular ultrasound, optical coherence tomography, computed tomography angiography, or magnetic resonance angiography.

3. The computational simulation platform of claim 1 , wherein the design and material properties of the stents and balloons are imported based on invasive or non-invasive imaging.

4. The computational simulation platform of claim 1 , wherein the design and material properties of the stents and balloons are imported from one or more databases including manufacturer-provided data.

5. The computational simulation platform of claim 1 , wherein the modeled stent and balloon in their crimped state are computationally positioned and bent in the 3D reconstructed vessel lumen.

6. The computational simulation platform of claim 1 , wherein the balloon pre-dilation, stenting and balloon post-dilation computations are computationally simulated using finite element analysis.

7. The computational simulation platform of claim 1 , wherein the computer-implemented method further includes:

assigning plaque plasticity based on the material properties assigned to the 3D reconstructed surface of the vessel lumen.

8. A system for simulation and planning of interventional procedures, comprising:

one or more medical imaging devices;

one or more computer systems communicatively coupled to the one or more medical imaging devices, the one or more computer systems being configured to:

generate a mesh or meshless three-dimensional (3D) reconstruction of a vessel lumen and a surface of the vessel lumen based on invasive or non-invasive imaging data received from the one or more medical imaging devices;

assign material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging data received from the one or more medical imaging devices, wherein the assigning of the material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging data includes: determining wall or plaque thickness, lumen area, plaque eccentricity and plaque constituents based on the invasive or non-invasive imaging; dividing the vessel lumen into sequential zones of plaque material; and

assigning a value ranging from purely calcium plaque material to purely lipid plaque material;

import design and material properties of stents and balloons;

generate a mesh or meshless model of a stent and balloon based on the imported design and material properties;

position the modeled stent and balloon within the 3D reconstructed vessel lumen;

perform balloon pre-dilation, stenting and balloon post-dilation computational simulations with the 3D reconstructed vessel lumen and surface of the vessel lumen; and

assess stent and vessel morphometric and biomechanical measures based on the computational simulations.

9. The system of claim 8 , wherein the invasive or non-invasive imaging data comprise at least one of: coronary angiography data, intravascular ultrasound data, optical coherence tomography data, computed tomography angiography data, or magnetic resonance angiography data.

10. The system of claim 8 , wherein the design and material properties of the stents and balloons are imported based on invasive or non-invasive imaging data received from the one or more medical imaging devices.

11. The system of claim 8 , wherein the design and material properties of the stents and balloons are imported from one or more databases including manufacturer-provided data.

12. The system of claim 8 , wherein the modeled stent and balloon in their crimped state are computationally positioned and bent in the 3D reconstructed vessel lumen.

13. The system of claim 8 , wherein the balloon pre-dilation, stenting and balloon post-dilation computations are computationally simulated using finite element analysis.

14. The system of claim 8 , wherein the one or more computer systems are further configured to:

assign plaque plasticity based on the material properties assigned to the 3D reconstructed surface of the vessel lumen.

15. A computational simulation platform for interventional procedures planning, comprising a computer-implemented method that includes:

generating a mesh or meshless three-dimensional (3D) reconstruction of a vessel lumen and a surface of the vessel lumen based on invasive or non-invasive imaging;

assigning material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging, wherein the assigning of the material properties to the 3D reconstructed surface of the vessel lumen based on the invasive or non-invasive imaging includes: determining wall or plaque thickness, lumen area, plaque eccentricity and plaque constituents based on the invasive or non-invasive imaging; dividing the vessel lumen into sequential zones of plaque material; and assigning a value ranging from purely calcium plaque material to purely lipid plaque material;

performing balloon pre-dilation, stenting and balloon post-dilation computational simulations with the 3D reconstructed vessel lumen and surface of the vessel lumen; and

assessing stent and vessel morphometric and biomechanical measures based on the computational simulations.

16. The computational simulation platform of claim 15 , wherein the invasive or non-invasive imaging comprises at least one of: coronary angiography, intravascular ultrasound, optical coherence tomography, computed tomography angiography, or magnetic resonance angiography.

17. The computational simulation platform of claim 15 , wherein design and material properties of stents and balloons are imported based on invasive or non-invasive imaging or from one or more databases including manufacturer-provided data.

18. The computational simulation platform of claim 15 , wherein modeled stent and balloon in their crimped state are computationally positioned and bent in the 3D reconstructed vessel lumen.

19. The computational simulation platform of claim 15 , wherein the balloon pre-dilation, stenting and balloon post-dilation computations are computationally simulated using finite element analysis.

20. The computational simulation platform of claim 15 , wherein the computer-implemented method further includes:

assigning plaque plasticity based on the material properties assigned to the 3D reconstructed surface of the vessel lumen.