Method and computing unit for generating a manufacturing model

Patent metadata

Field	Value
Publication number	US-10299863-B2
Application number	US-201615179240-A
Country	US
Kind code	B2
Filing date	Jun 10, 2016
Priority date	Jun 16, 2015
Publication date	May 28, 2019
Grant date	May 28, 2019

Abstract

At least one first 3D image dataset of an examination region of interest of a patient and a second 3D image dataset of the examination region of interest are received via at least one first interface. A geometric model of the examination region of interest is determined based at least on the first 3D image dataset, and a first spatial distribution of a first material property of the examination region of interest is determined based at least on the second 3D image dataset. A digital manufacturing model of an object is generated based on the geometric model and on the first spatial distribution, the manufacturing model having a material composition of the object that is dependent on the first distribution. The manufacturing model therefore takes into account the geometry and the first material property of the examination region of interest.

First claim

What is claimed is:

1. A method for generating a digital manufacturing model of an object for use in medical engineering, comprising:
determining a geometric model of an examination region of interest of a patient based on a first three-dimensional (3D) image dataset of the examination region of interest;
determining a spatial distribution of a material property of the examination region of interest based on a second 3D image dataset of the examination region of interest; and
generating the digital manufacturing model of the object based on the geometric model and the spatial distribution, the digital manufacturing model representing a material composition of the object, the generating the digital manufacturing model including determining an association between the spatial distribution and one or more production materials included in the material composition.

2. The method of claim 1 , wherein
the first 3D image dataset is a computed tomography (CT) dataset acquired at a first X-ray energy, and
the second 3D image dataset is a CT dataset acquired at a second X-ray energy.

3. The method of claim 1 , wherein the first 3D image dataset has a higher spatial resolution than the second 3D image dataset.

4. The method of claim 1 , wherein the material property is a mechanical property.

5. The method of claim 4 , wherein the mechanical property includes one of the following properties: elasticity, density, strength, or hardness.

6. The method of claim 1 , further comprising:
classifying subregions of the examination region of interest based on the spatial distribution.

7. The method of claim 6 , wherein the classifying classifies different tissues of the subregions.

8. The method of claim 1 , further comprising:
simulating a load on the examination region of interest,
wherein the material composition is determined based on the simulating.

9. The method of claim 1 , wherein the generating generates the digital manufacturing model using a database, the database storing associations between each of a plurality of different material properties and respective production materials of a plurality of different production materials, the plurality of different material properties including the material property, and the plurality of different production materials including the one or more production materials.

10. The method of claim 1 , further comprising:
transferring the digital manufacturing model to a 3D printer; and
producing the object based on the digital manufacturing model via the 3D printer.

11. A computing unit for generating a digital manufacturing model of an object for use in medical engineering, comprising:
a determination unit configured to
determine a geometric model of an examination region of interest of a patient based on a first three-dimensional (3D) image dataset of the examination region of interest, and
determine a spatial distribution of a material property of the examination region of interest based on a second 3D image dataset of the examination region of interest; and

a generation unit configured to generate the digital manufacturing model of the object based on the geometric model and the spatial distribution, the digital manufacturing model representing a material composition of the object, the generation of the digital manufacturing model including determining an association between the spatial distribution and one or more production materials included in the material composition.

12. An imaging device configured to acquire at least one of the first 3D image dataset and the second 3D image dataset, comprising:
the computing unit of claim 11 .

13. At least one imaging device configured to acquire the first 3D image dataset and the second 3D image dataset, comprising:
the computing unit of claim 11 ,
wherein the first 3D image dataset is a computed tomography (CT) dataset acquired at a first X-ray energy, and the second 3D image dataset is a CT dataset acquired at a second X-ray energy.

14. A non-transitory computer-readable medium, including program sections that, when executed by a computing unit, cause the computing unit to perform the method of claim 1 .

15. An object for use in medical engineering, produced via the method of claim 1 .

16. The method of claim 2 , wherein the first 3D image dataset has a higher spatial resolution than the second 3D image dataset.

17. The method of claim 2 , wherein the material property is a mechanical property.

18. The method of claim 17 , wherein the mechanical property includes one of the following properties: elasticity, density, strength, or hardness.

19. The method of claim 2 , wherein the generating generates the digital manufacturing model using a database, the database storing associations between each of a plurality of different material properties and respective production materials of a plurality of different production materials, the plurality of different material properties including the material property, and the plurality of different production materials including the one or more production materials.

20. An apparatus for generating a digital manufacturing model of an object for use in medical engineering, comprising:
one or more processors configured to execute computer readable instructions to
determine a geometric model of an examination region of interest of a patient based on a first three-dimensional (3D) image dataset of the examination region of interest,
determine a spatial distribution of a material property of the examination region of interest based on a second 3D image dataset of the examination region of interest, and
generate the digital manufacturing model of the object based on the geometric model and the spatial distribution, the digital manufacturing model representing a material composition of the object, the generation of the digital manufacturing model including determining an association between the spatial distribution and one or more production materials included in the material composition.

21. The apparatus of claim 20 , further comprising:
a memory storing the computer readable instructions.

22. An imaging device configured to acquire at least one of the first 3D image dataset and the second 3D image dataset, comprising:
the apparatus of claim 20 .

23. At least one imaging device configured to acquire the first 3D image dataset and the second 3D image dataset, comprising:
the apparatus of claim 20 ,
wherein the first 3D image dataset is a computed tomography (CT) dataset acquired at a first X-ray energy, and the second 3D image dataset is a CT dataset acquired at a second X-ray energy.

24. A non-transitory computer-readable medium, including program sections that, when executed by a computing unit, cause the computing unit to perform the method of claim 3 .

25. The method of claim 1 , wherein the digital manufacturing model defines specifications of the object for use by a manufacturing device when manufacturing the object, the specifications including the material composition.

26. The method of claim 1 , wherein the object is an implant.

Assignees

• Siemens Healthcare Gmbh

Inventors

• Grbic Sasa
• HOELZER Philipp
• Ionasec Razvan
• Suehling Michael

Classifications

• A61F2002/30952

  using CAD-CAM techniques or NC-techniques · CPC title

• A61B34/10 Primary

  Computer-aided planning, simulation or modelling of surgical operations · CPC title

• A61F2002/30962

  using stereolithography · CPC title

• A61F2002/30948

  using computerized tomography, i.e. CT scans · CPC title

• G06T2200/04

  involving 3D image data · CPC title