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:
Jul. 03, 2018

Filed:

Jul. 20, 2012
Applicants:

Yu Zhou, White Plains, NY (US);

Kaarvannan Thiruvalluvan, Stony Brook, NY (US);

Lukasz Krzeminski, Brooklyn, NY (US);

William H. Moore, Setauket, NY (US);

Zhigang Xu, Lake Grove, NY (US);

Zhengrong Liang, Stony Brook, NY (US);

Inventors:

Yu Zhou, White Plains, NY (US);

Kaarvannan Thiruvalluvan, Stony Brook, NY (US);

Lukasz Krzeminski, Brooklyn, NY (US);

William H. Moore, Setauket, NY (US);

Zhigang Xu, Lake Grove, NY (US);

Zhengrong Liang, Stony Brook, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/03 (2006.01); A61B 10/04 (2006.01); A61B 10/02 (2006.01); A61B 6/00 (2006.01); A61B 8/08 (2006.01); G01R 33/28 (2006.01); G01R 33/48 (2006.01); A61B 34/30 (2016.01); G06T 7/246 (2017.01); A61B 34/20 (2016.01); A61B 90/00 (2016.01);
U.S. Cl.
CPC ...
A61B 10/04 (2013.01); A61B 6/032 (2013.01); A61B 6/486 (2013.01); A61B 6/5217 (2013.01); A61B 8/0841 (2013.01); A61B 10/0233 (2013.01); A61B 34/20 (2016.02); A61B 34/30 (2016.02); A61B 90/39 (2016.02); G01R 33/285 (2013.01); G01R 33/4812 (2013.01); G01R 33/4814 (2013.01); G06T 7/251 (2017.01); A61B 6/506 (2013.01); A61B 2010/045 (2013.01); A61B 2034/2057 (2016.02); A61B 2034/2063 (2016.02); A61B 2090/374 (2016.02); A61B 2090/3762 (2016.02); A61B 2090/3937 (2016.02); G06T 2207/10081 (2013.01); G06T 2207/30064 (2013.01);
Abstract

An image-guided system and method for performing needle biopsy on a moving lung nodule of a body is provided. CT images of the lung nodule are obtained to generate a motion model, based on which an optimal needle advancing path is determined. The motion of the lung nodule and the motion of a fiducial marker attached to the body are correlated. The motion of the fiducial marker is tracked and monitored by a camera to determine a position of the lung nodule based on the correlation. A time for advancing the needle is determined based on a motion attribute of the reference. The needle is advanced by a robotic needle manipulator at the predetermined time along the path to accomplish the needle placement.


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