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:
Oct. 01, 2024

Filed:

Jul. 01, 2022
Applicant:

Remex Medical Corp., Taichung, TW;

Inventors:

Sheng-Fang Lin, Taiwan, TW;

Ying-Yi Cheng, Taiwan, TW;

Chen-Tai Lin, Taiwan, TW;

Shan-Chien Cheng, Taiwan, TW;

Assignee:

REMEX MEDICAL CORP., Taichung, TW;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/30 (2017.01); A61B 34/10 (2016.01); A61B 34/20 (2016.01); A61B 90/00 (2016.01); G06T 7/00 (2017.01); G06T 7/33 (2017.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06T 7/80 (2017.01); G06T 11/00 (2006.01); G06T 15/20 (2011.01); G06T 19/20 (2011.01);
U.S. Cl.
CPC ...
G06T 7/344 (2017.01); A61B 34/10 (2016.02); A61B 34/20 (2016.02); A61B 90/36 (2016.02); G06T 7/0014 (2013.01); G06T 7/30 (2017.01); G06T 7/33 (2017.01); G06T 7/337 (2017.01); G06T 7/50 (2017.01); G06T 7/70 (2017.01); G06T 7/80 (2017.01); G06T 11/005 (2013.01); G06T 11/008 (2013.01); G06T 15/20 (2013.01); G06T 19/20 (2013.01); A61B 2034/2057 (2016.02); A61B 2090/367 (2016.02); G06T 2200/04 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10101 (2013.01); G06T 2207/10121 (2013.01); G06T 2207/10136 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30012 (2013.01); G06T 2207/30204 (2013.01); G06T 2210/41 (2013.01); G06T 2219/2004 (2013.01);
Abstract

A method for registering a two-dimensional image data set with a three-dimensional image data set of a body of interest is discloses herein. The method includes the following steps: adjusting a first virtual camera according to a distance parameter calculated corresponding to the two-dimensional image data set and the body of interest; rotating the first virtual camera according to an angle difference between a first vector and a second vector; and rotating the first virtual camera according to an angle which is corresponding to a maximum similarity value of a plurality of similarity values calculated in accordance with reconstructed images of the three-dimensional image data set which includes one generated by the first virtual camera and the others generated by other virtual cameras with different angles or different pixels from the one generated by the first virtual camera and the two-dimensional image data set.


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