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:
Aug. 01, 2023

Filed:

Dec. 07, 2020
Applicant:

Broncus Medical Inc., San Jose, CA (US);

Inventors:

Erkang Cheng, San Jose, CA (US);

Lav Rai, Sunnyvale, CA (US);

Henky Wibowo, San Jose, CA (US);

Assignee:

BRONCUS MEDICAL INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 7/162 (2017.01); G06T 7/143 (2017.01);
U.S. Cl.
CPC ...
G06T 7/11 (2017.01); G06T 7/143 (2017.01); G06T 7/162 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30012 (2013.01); G06T 2207/30172 (2013.01);
Abstract

Described herein is a novel method and system for segmentation of the spine using 3D volumetric data. In embodiments, a method includes an extracting step, localization step, and segmentation step. The extracting step comprises detecting the spine centerline and the spine canal centerline. The localization step comprises localizing the vertebra and intervertebral disc centers. Background and foreground constraints are created for each vertebra digit. Segmentation is performed for each vertebra digit and based on the hard constraints.


Find Patent Forward Citations

Cheng, Erkang. (2023). Learning-based spine vertebra localization and segmentation in 3d ct (U.S. Patent No. 11715207). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11715207

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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