US2014330418A1PendingUtilityA1

Single action three-dimensional model printing methods

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Assignee: WU ANDYPriority: Mar 2, 2011Filed: Jul 16, 2014Published: Nov 6, 2014
Est. expiryMar 2, 2031(~4.6 yrs left)· nominal 20-yr term from priority
Inventors:Andy Wu
B33Y 50/00G06T 2200/04B33Y 80/00G06T 17/00G06T 2210/41G06T 2200/08G06T 2207/10081G06T 2207/30008G06F 30/00G06T 19/20G06F 2113/10G06F 30/10G06F 17/50B29C 67/0088G06T 17/20B29C 64/386
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Claims

Abstract

Methods and techniques of using 3D printers to create physical models from image data are discussed. Geometric representations of different physical models are described and complex data conversion processes that convert input image data into geometric representations compatible with third party 3D printers are disclosed. Printing templates are used to encapsulate complex geometric representations and complicated data conversion processes from users for fast and simple 3D physical model printing applications.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A printing template method of single-action 3D printing using user selectable image segmentation methods and one or more adjustable parameters comprising:
 receiving an image data set as input;   identifying voxels using a user selected image segmentation method and one or more adjustable parameters;   generating a geometric representation from the identified voxels;   displaying a 3D digital rendering of the geometric representation for a user to adjust image segmentation method and adjustable parameters;   regenerating a geometric representation if the method and parameters have been changed; and   sending the generated geometric representation to a 3D printer for printing a physical model.   
     
     
         2 . The method of  claim 1 , wherein the image data set has a plurality of voxels, each voxel having an intensity value; wherein the image data set comprises images of one or more three-dimensional regions obtained using one or more imaging modalities selected from magnetic resonance imaging, computed tomography, ultrasound, X-ray imaging, positron emission tomography, microscopy imaging, simulated image. 
     
     
         3 . The method of  claim 1 , wherein the identifying of voxels comprises segmenting the image data using the user selected image segmentation method and the one or more adjustable parameters. 
     
     
         4 . The method of  claim 1 , wherein the geometric representation may be a list of 3D points, a list of 3D contours, a list of 3D polygonal surface models, or a combination of them.

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