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:
Jun. 23, 2020

Filed:

May. 01, 2018
Applicant:

Neuboron Medtech Ltd., Nanjing, Jiangsu, CN;

Inventors:

Yuanhao Liu, Jiangsu, CN;

Peiyi Lee, Jiangsu, CN;

Assignee:

NEUBORON MEDTECH LTD., Nanjing, Jiangsu, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/30 (2006.01); G06T 7/11 (2017.01); G06T 7/168 (2017.01); G06T 7/13 (2017.01); G06T 7/00 (2017.01); G06T 17/00 (2006.01); A61N 5/10 (2006.01);
U.S. Cl.
CPC ...
G06T 17/30 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/13 (2017.01); G06T 7/168 (2017.01); A61N 5/103 (2013.01); A61N 2005/109 (2013.01); G06T 17/00 (2013.01); G06T 2200/08 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/30096 (2013.01); G06T 2210/32 (2013.01);
Abstract

Provided is a geometric model establishment method based on medical image data, including: a step of reading medical image data; a step of defining a tissue type by a conversion relationship between the medical image data and the tissue type; a step of deciding the number of tissue clusters; a step of defining a tissue density by a conversion relationship between the medical image data and the density; a step of establishing 3D encoding matrix with information about the tissue and the density; and a step of generating a geometric model. According to a conversion relationship between medical image data and a tissue type, the number of tissue clusters can be determined according to actual requirements, so that the tissue type, the element composition and the density are provided more accurately, and an established geometric model is better matched to the real situation reflected by the medical image data.


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