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:
Apr. 21, 2026

Filed:

Feb. 25, 2022
Applicant:

Covidien Lp, Mansfield, MA (US);

Inventors:

Ariel Birenbaum, Raanana, IL;

Ofer Barasofsky, Tel Mond, IL;

Guy Alexandroni, Yehud-Monosson, IL;

Irina Shevlev, Ashdod, IL;

Assignee:

Covidien LP, Mansfield, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 17/20 (2006.01); A61B 34/10 (2016.01); G06V 10/26 (2022.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 10/86 (2022.01); G06V 20/50 (2022.01); G16H 50/50 (2018.01);
U.S. Cl.
CPC ...
G06T 17/20 (2013.01); A61B 34/10 (2016.02); G06V 10/26 (2022.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 10/86 (2022.01); G06V 20/50 (2022.01); G16H 50/50 (2018.01); A61B 2034/105 (2016.02); G06T 2200/04 (2013.01); G06T 2200/24 (2013.01); G06T 2210/41 (2013.01); G06V 10/774 (2022.01); G06V 2201/031 (2022.01);
Abstract

Systems and methods of image processing include a processor in communication with a display and a computer readable recording medium having instructions executed by the processor to read a three-dimensional (3D) image data set from the computer-readable recording medium and automatically generate a tree structure of blood vessels based on patient images of the image data set using a neural network. Manually- and/or semi-automatically-generated 3D models of blood vessels are used to train the neural network. The systems and methods involve segmenting and classifying blood vessels in the 3D image data set using the trained neural network, closing holes, finding roots and endpoints in the segmentation, finding shortest paths between the roots and endpoints, selecting most probable paths, combining most probable paths into directed graphs, solving overlaps between directed graphs, and creating 3D models of blood vessels based on the directed graphs.


Find Patent Forward Citations

Loading…