System and method for fabricating a body part model using multi-material additive manufacturing

US12427024B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12427024-B2
Application numberUS-201815984363-A
CountryUS
Kind codeB2
Filing dateMay 20, 2018
Priority dateNov 17, 2011
Publication dateSep 30, 2025
Grant dateSep 30, 2025

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

A method for physically reconstructing a body part using multi-material additive manufacturing includes receiving image data of the body part in the form of arrays of voxels, each array of voxels representing image data pertaining to cross-section of the body part, translating the image data in the arrays of voxels to printable bitmap images representing combinations of modeling materials for reconstructing the body part, and dispensing the combinations of modeling materials responsive to the bitmap images in a layerwise manner.

First claim

Opening claim text (preview).

What is claimed is: 1. An assembly comprising of a displayable three-dimensional medical image of a body part and a physical reconstruction of the medical image, the three-dimensional medical image being defined over a plurality of image voxels, the physical reconstruction comprising: a digital material formed of physical macro voxels, each being composed of a plurality of physical voxels deposited by multi-material additive manufacturing and being a spatial combination of at least two modeling materials having different mechanical properties, wherein for at least one physical macro voxel of said physical macro voxels: (i) a unit size of said physical macro voxel corresponds to a unit size represented by one image voxel of the plurality of image voxels, and (ii) said spatial combination of said at least two modeling materials in said physical macro voxel is a translation of a voxel value of said image voxel of the plurality of image voxels. 2. The physical reconstruction of claim 1 , wherein said at least two modeling materials are deposited based on bitmap images defining the body part, wherein each pixel in the bitmap image is represented by a plurality of drops deposited by multi-material additive manufacturing, the plurality of drops defining the digital material. 3. The physical reconstruction of claim 1 , wherein the digital material is defined by a ratio between the at least two modeling materials. 4. The physical reconstruction of claim 1 , wherein a pattern of deposition of the at least two modeling materials defining said digital material is random or pseudo random. 5. The physical reconstruction of claim 1 , wherein a pattern of deposition of the at least two modeling materials defining said digital material is a structured pattern. 6. The physical reconstruction of claim 1 , wherein the digital material is defined over a plurality of layers. 7. The physical reconstruction of claim 1 , wherein the different mechanical properties of said modeling materials are selected from a group including: stiffness, flexibility, density, color, transparency, water absorption (%), solvent absorption (%), non-polymerized liquid fraction and nano-particles fraction. 8. The physical reconstruction of claim 1 , wherein one of the at least two modeling materials is configured to have a modulus of elasticity of 0.01 MPa. 9. The physical reconstruction of claim 1 , wherein one of the at least two modeling materials is configured to have a modulus of elasticity of 3 GPa. 10. The physical reconstruction of claim 1 , wherein the at least two modeling materials have different stiffnesses and a modulus of elasticity ranging between 0.01 MPa and 3 GPa. 11. The physical reconstruction of claim 1 , wherein one of the at least two modeling materials is a liquid, or gel, wherein the liquid or gel configured to mimic body fluids. 12. The physical reconstruction of claim 1 , wherein one of the at least two modeling materials is a liquid material that is configured to remain in liquid state during the entire additive manufacturing process. 13. The physical reconstruction of claim 12 , wherein the liquid material is polyethylene glycol 400 (PEG400). 14. The physical reconstruction of claim 1 , wherein at least one digital material is formed from a first material and a second material, said first material being a liquid or a gel, and said second material surrounding said first material and being stiffer than said first material. 15. The physical reconstruction of claim 14 , wherein the second material is configured to encapsulate the first material. 16. The physical reconstruction of claim 1 , wherein the three-dimensional image is received from one or more imaging devices selected from a group including a CT scanner, an MRI and an ultrasound device. 17. The physical reconstruction of claim 1 , wherein said three-dimensional image of the body part comprises a plurality of image data slices, and wherein each image data slice is replicated by a plurality of layers of the physical reconstruction.

Assignees

Inventors

Classifications

  • Products made by additive manufacturing · CPC title

  • Anatomical models {(G09B23/281 - G09B23/288 take precedence)} · CPC title

  • Subject matter not provided for in other main groups of this subclass · CPC title

  • Computer-aided design [CAD] · CPC title

  • B29C64/112Primary

    using individual droplets, e.g. from jetting heads · CPC title

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What does patent US12427024B2 cover?
A method for physically reconstructing a body part using multi-material additive manufacturing includes receiving image data of the body part in the form of arrays of voxels, each array of voxels representing image data pertaining to cross-section of the body part, translating the image data in the arrays of voxels to printable bitmap images representing combinations of modeling materials for r…
Who is the assignee on this patent?
Stratasys Ltd
What technology area does this patent fall under?
Primary CPC classification B29C64/112. Mapped technology areas include Operations & Transport.
When was this patent published?
Publication date Tue Sep 30 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).