The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 24, 2020

Filed:

Jan. 26, 2017
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Tommaso Mansi, Plainsboro, NJ (US);

Helene Houle, San Jose, CA (US);

Sasa Grbic, Princeton, NJ (US);

Andrzej Milkowski, Issaquah, WA (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 5/055 (2006.01); A61B 8/08 (2006.01); A61B 6/03 (2006.01); A61B 34/10 (2016.01); G06F 19/00 (2018.01); G05B 19/4099 (2006.01); B33Y 10/00 (2015.01); B33Y 30/00 (2015.01); B33Y 50/02 (2015.01); B33Y 80/00 (2015.01); B33Y 70/00 (2020.01); B29C 64/386 (2017.01); G16H 50/50 (2018.01); B33Y 50/00 (2015.01); G16H 40/63 (2018.01); B29C 64/112 (2017.01); B29C 64/20 (2017.01); B29L 31/00 (2006.01);
U.S. Cl.
CPC ...
A61B 5/0035 (2013.01); A61B 5/0044 (2013.01); A61B 5/055 (2013.01); A61B 6/032 (2013.01); A61B 8/485 (2013.01); A61B 8/5261 (2013.01); A61B 34/10 (2016.02); B29C 64/112 (2017.08); B29C 64/20 (2017.08); B29C 64/386 (2017.08); B33Y 10/00 (2014.12); B33Y 30/00 (2014.12); B33Y 50/00 (2014.12); B33Y 50/02 (2014.12); B33Y 70/00 (2014.12); B33Y 80/00 (2014.12); G05B 19/4099 (2013.01); G06F 19/321 (2013.01); G16H 40/63 (2018.01); G16H 50/50 (2018.01); A61B 2034/105 (2016.02); A61B 2576/023 (2013.01); B29L 2031/7532 (2013.01); B29L 2031/7534 (2013.01); G05B 2219/45172 (2013.01); G05B 2219/49023 (2013.01);
Abstract

A system and method for multi-modality fusion for 3D printing of a patient-specific organ model is disclosed. A plurality of medical images of a target organ of a patient from different medical imaging modalities are fused. A holistic mesh model of the target organ is generated by segmenting the target organ in the fused medical images from the different medical imaging modalities. One or more spatially varying physiological parameter is estimated from the fused medical images and the estimated one or more spatially varying physiological parameter is mapped to the holistic mesh model of the target organ. The holistic mesh model of the target organ is 3D printed including a representation of the estimated one or more spatially varying physiological parameter mapped to the holistic mesh model. The estimated one or more spatially varying physiological parameter can be represented in the 3D printed model using a spatially material property (e.g., stiffness), spatially varying material colors, and/or spatially varying material texture.


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