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:
May. 04, 2021

Filed:

Mar. 16, 2018
Applicant:

Unik Orthopedics Inc., Fremont, CA (US);

Inventor:

Ilwhan Park, Walnut Creek, CA (US);

Assignee:

UNIK ORTHOPEDICS INC., Fremont, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 34/10 (2016.01); A61B 17/15 (2006.01); A61F 2/46 (2006.01); A61B 5/00 (2006.01); G06T 7/73 (2017.01); G06T 7/66 (2017.01); A61B 17/17 (2006.01); A61B 5/055 (2006.01);
U.S. Cl.
CPC ...
A61F 2/4657 (2013.01); A61B 5/4571 (2013.01); A61B 17/15 (2013.01); A61B 17/1703 (2013.01); A61B 34/10 (2016.02); G06T 7/66 (2017.01); G06T 7/73 (2017.01); A61B 5/055 (2013.01); A61B 2034/105 (2016.02); A61B 2034/108 (2016.02); A61F 2002/4658 (2013.01); G06T 2207/10072 (2013.01); G06T 2207/20101 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30172 (2013.01);
Abstract

Aspects of the present disclosure involve systems, methods, computer program products, and the like, for utilizing a series of images of a patient's anatomy to determine a cut plane for use during a hip replacement procedure. To determine a cut plane for use during the procedure, the computer program determines a best fit line through the center of the neck of the femur, as well as a best fit line through the femoral shaft. In one particular embodiment, a cut plane through the femur may then be determined as perpendicular to the center line through the neck of the femur. Further, the location of these features in the images may be determined by analyzing the gray scale value of one or more pixels around a selected point on the image. The pixel with the lowest gray scale value may then be assumed to be the edge of the cortical bone in the 2D image.


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