Data driven framework for optimizing artificial organ printing and scaffold selection for regenerative medicine

• US 10,710,354 B2
• Filed: 10/11/2017
• Issued: 07/14/2020
• Est. Priority Date: 09/09/2015
• Status: Active Grant

• Current Assignee: Siemens Healthineers AG (Siemens AG)
• Original Assignee: Siemens Healthcare GMBH (Siemens AG)
• Inventors: Grbic, Sasa, Comaniciu, Dorin
• Primary Examiner(s): Schiffman, Benjamin A
• Application Number:
  US15/729,982
• Publication Number:
  US 20180053346A1
• Time in Patent Office: 1,007 Days
• Field of Search: None
• CPC Class Codes: B29L 2031/7532 Artificial members, protheses
• CPC Class Codes: B33Y 10/00 Processes of additive manufacturing
• CPC Class Codes: B33Y 30/00 Apparatus for additive manufacturing; Details thereof or accessories therefor
• CPC Class Codes: B33Y 50/00 Data acquisition or data processing for additive manufacturing
• CPC Class Codes: G05B 19/4099 Surface or curve machining, making 3D objects, e.g. desktop manufacturing
• CPC Class Codes: G06F 3/1205 resulting in increased flexibility in print job configuration, e.g. job settings, print requirements, job tickets
• CPC Class Codes: G06F 3/1253 Configuration of print job parameters, e.g. using UI at the client
• CPC Class Codes: G06F 3/1297 Printer code translation, conversion, emulation, compression; Configuration of printer parameters
• CPC Class Codes: G06T 11/003 Reconstruction from projections, e.g. tomography
• CPC Class Codes: G06T 17/10 Constructive solid geometry [CSG] using solid primitives, e.g. cylinders, cubes
• CPC Class Codes: G06T 2207/10028 Range image; Depth image; 3D point clouds
• CPC Class Codes: G06T 2207/10072 Tomographic images
• CPC Class Codes: G06T 2207/30024 Cell structures in vitro; Tissue sections in vitro
• CPC Class Codes: G06T 2211/416 Exact reconstruction
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/60 Analysis of geometric attributes
• CPC Class Codes: G06T 7/70 Determining position or orientation of objects or cameras camera calibration G06T7/80
• CPC Class Codes: H04N 7/183 for receiving images from a single remote source

Abstract

A method for generating a personalized scaffold for an individual includes acquiring images of an anatomy of interest corresponding to an intended scaffold location and acquiring test results related to the anatomy of interest. One or more functional specifications are generated based on the images and test results and one or more scaffold parameters are selected based on the functional specifications. A final scaffold may then be generated using the one or more scaffold parameters.

Claims

1. A method for generating a personalized scaffold for an individual, the method comprising:

acquiring images of an anatomy of interest corresponding to an intended scaffold location;

acquiring test results related to the anatomy of interest;

generating one or more functional specifications based on the images and test results;

selecting one or more scaffold parameters based on the one or more functional specifications;

generating one or more printer parameters using a mapping between the one or more functional specifications and printer parameters corresponding to a three-dimensional printer;

using the three-dimensional printer to generate a final scaffold using the one or more scaffold parameters and the one or more printer parameters.

2. The method of claim 1, wherein the one or more functional specifications comprise one or more computational model parameters.

3. The method of claim 2, wherein the one or more computational model parameters comprise an indication of geometrical features of the anatomy of interest.

4. The method of claim 2, wherein the one or more computational model parameters comprise an indication of mechanical properties in the anatomy of interest.

5. The method of claim 1, wherein the one or more functional specifications comprise one or more clinical parameters.

6. The method of claim 5, wherein the one or more clinical parameters comprise one or more of a diameter, ejection fraction, flow, or volume corresponding to the anatomy of interest.

7. The method of claim 1, wherein the one or more scaffold parameters are selected based on the one or more functional specifications by a process comprising:

selecting an initial set of scaffold parameters from a database based on the one or more functional specifications;

optimizing the initial set of scaffold parameters using a functional computational model to yield the one or more functional specifications.

8. The method of claim 1, wherein using the three-dimensional printer to generate the final scaffold comprises generating a stereolithography (STL) tetrahedral model with material properties for each tetrahedral corresponding to the one or more scaffold parameters.

9. A method for generating a personalized scaffold for an individual, the method comprising:

generating one or more functional specifications based on images of an anatomy of interest corresponding to an intended scaffold location and test results related to the anatomy of interest;

selecting a set of scaffold parameters based on the one or more functional specifications;

optimizing the set of scaffold parameters using a functional computational model to yield the one or more functional specifications; and

generating one or more printer parameters by optimizing a mapping function which describes a relationship between the one or more functional specifications and printer parameters corresponding to a three-dimensional printer;

using the three-dimensional printer to generate a final scaffold using the one or more scaffold parameters and the set of optimal printer parameters.

10. The method of claim 9, wherein the one or more functional specifications comprise one or more computational model parameters.

11. The method of claim 10, wherein the one or more computational model parameters comprise an indication of geometrical features of the anatomy of interest.

12. The method of claim 10, wherein the one or more computational model parameters comprise an indication of mechanical properties in the anatomy of interest.

13. The method of claim 9, wherein the one or more functional specifications comprise one or more clinical parameters.

14. The method of claim 13, wherein the one or more clinical parameters comprise one or more of a diameter, ejection fraction, flow, or volume corresponding to the anatomy of interest.

15. The method of claim 9, wherein using the three-dimensional printer to generate the final scaffold comprises generating a stereolithography (STL) tetrahedral model with material properties for each tetrahedral corresponding to the one or more scaffold parameters.