Assessment of coronary function via advanced 3D printed models
The present disclosure describes a system that can enable the prediction of coronary flow without invasive medical procedure. The system can generate physical models that can provide an accurate assessment of coronary mechanics and enable realistic simulation of coronary procedures. The models can enable the hemodynamic measurement of flow through the model and the study of flow dynamics through the model and the biomechanics of the model.
1. A method comprising:
receiving at least one image of a target anatomy of a subject;
generating an anatomy geometry of the target anatomy based on segmenting at least one image of the target anatomy;
generating a density profile based on the anatomy geometry and a mapping between voxel values of at least one image of the target anatomy and a deformation value of the target anatomy;
generating a physical model of the target anatomy based on the anatomy geometry and the density profile; and
measuring a value of the physical model or a fluid as the fluid flows through the physical model.
2. The method of claim 1 , wherein the fluid comprises a plurality of particles and the method further comprises determining a displacement of the plurality of particles between a first time point and a second time point.
3. The method of claim 2 , further comprising determining a flow rate based on the displacement of the plurality of particles between the first time point and the second time point.
4. The method of claim 2 , further comprising identifying a vorticity within the fluid based on the displacement of the plurality of particles between the first time point and the second time point.
5. The method of claim 1 , wherein the value comprises an energy loss.
6. The method of claim 1 , wherein the physical model comprises an electrode on a first face of a wall of the physical model and a conducting medium in contact with a second face of the wall.
7. The method of claim 6 , wherein measuring the value further comprises measuring a capacitance of the wall between the electrode on the first face of the wall and the conducting medium.
8. The method of claim 1 , further comprising:
embedding a plurality of particles within at least one wall of the physical model;
determining a displacement of the plurality of particles between a first time point and a second time point; and
determining a strain of at least one wall based on the displacement of the plurality of particles.
9. The method of claim 1 , wherein the fluid comprises a first plurality of particles and the physical model comprises a second plurality of particles embedded within at least one wall of the physical model and the method further comprises:
illuminating the first plurality of particles with a first wavelength of light; and
illuminating the second plurality of particles with a second wavelength of light.
10. The method of claim 1 , wherein the density profile comprises a dither pattern indicating a material ratio.
11. The method of claim 1 , wherein the value comprises a pressure within the physical model.
12. A system comprising one or more processors and a memory comprising processor executable instructions causing the one or more processors to:
receive at least one image of a target anatomy of a subject;
generate an anatomy geometry of the target anatomy based on segmenting at least one image of the target anatomy;
determine a density profile based on the anatomy geometry and a mapping between voxel values of at least one image of the target anatomy and a deformation value of the target anatomy;
transmit to a three-dimensional printer a data structure including the anatomy geometry and the density profile to manufacture a physical model of the target anatomy; and
measure a value of the physical model or a fluid as the fluid flows through the physical model.
13. The system of claim 12 , wherein the fluid comprises a plurality of particles and the one or more processors:
determine a displacement of the plurality of particles between a first time point and a second time point.
14. The system of claim 13 , wherein the one or more processors determine a flow rate based on the displacement of the plurality of particles between the first time point and the second time point.
15. The system of claim 13 , wherein the one or more processors identify a vorticity within the fluid based on the displacement of the plurality of particles between the first time point and the second time point.
16. The system of claim 12 , wherein the value comprises, a particle residence.
17. The system of claim 12 , wherein the physical model comprises an electrode on a first face of a wall of the physical model and a conducting medium in contact with a second face of the wall, and wherein the one or more processors determine a capacitance of the wall between the electrode on the first face of the wall and the conducting medium.
18. The system of claim 12 , wherein the one or more processors:
determine a displacement of a plurality of particles embedded within at least one wall of the physical model between a first time point and a second time point; and
determine a strain of at least one wall based on the displacement of the plurality of particles.
19. The system of claim 12 , further comprising a laser to generate a first wavelength of light to illuminate a first plurality of particles and generate a second wavelength of light to illuminate a second plurality of particles with a second wavelength of light.
20. The system of claim 12 , wherein the density profile comprises, for each voxel of the anatomy geometry, a dither pattern indicating a material ratio.