IP Library Granted Patent US 12,489,960
Granted Patent B2
US 12,489,960 · App. 15/917,897 · Granted Dec 2, 2025

Communication of detected grasping forces in a surgical robotic platform

Inventors: Kevin Andrew Hufford (Cary, NC); Matthew Robert Penny (Holly Springs, NC)
H04N21/8456A61B34/76A61B90/37H04L65/612H04L65/70H04L65/762H04L65/80H04N21/8352H04N21/84A61B2017/00022A61B2017/00115A61B34/37A61B2090/065A61B2090/365
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Quick Facts
Patent No.
US 12,489,960
App. No.
15/917,897
Granted
Dec 2, 2025
Kind
B2
Abstract

A system and method for displaying tissue information on a display screen includes a camera capturing an image of an anatomical working site including a surgical instrument, and a display displaying the image. A tissue information detection device determines information about the health, pathology etc. of tissue in contact with a surgical instrument, or about an interaction between the surgical instrument and the tissue. The system renders overlays depicting the tissue information with the image on the display.

Claims (22)

1 . A method for augmenting an image displayed to a user during a surgical procedure, comprising:

positioning an endoscopic camera within a body cavity;

positioning a surgical instrument at an anatomical site within the body cavity;

using a robotic manipulator, robotically maneuvering the surgical instrument within the body cavity towards tissue in the body cavity;

grasping the tissue at the anatomical site using jaws of the surgical instrument and determining grasping forces imparted to the tissue by the surgical instrument;

capturing real time video images of the anatomical site using the endoscopic camera and displaying the real time video images on a display in real time, wherein said real time video images include real time video images showing the jaws of the surgical instrument with the tissue between said jaws;

displaying graphical indicia as overlays on the real time video displayed in real time, the displayed graphical indicia representing a degree of the grasping forces.

2 . The method according to claim 1 , wherein said real time video images include real time video images showing the surgical instrument within the working site, and the indicia includes a graphical marking overlaying the displayed image of the surgical instrument.

3 . The method according to claim 2 , where the graphical marking includes color shading or a pattern on at least a portion of the displayed image of the surgical instrument.

4 . The method according to claim 2 , wherein the surgical instrument has jaws and the graphical marking is displayed on the image of the jaws of the surgical instrument.

5 . The method of claim 1 , further including applying computer vision to the image to detect edges of the surgical instrument within the body cavity.

6 . The method of claim 1 , wherein determining forces includes determining the forces using input from a Fabry-Perot interferometer.

7 . The method of claim 1 , wherein determining forces includes determining the forces using input from a Fiber-Bragg grating.

8 . The method of claim 1 , wherein determining forces includes determining the forces using input from a strain gauge.

9 . The method of claim 1 , wherein determining forces includes determining the forces using input from a load cell.

10 . The method of claim 1 , wherein determining forces includes determining the forces using input from a force sensor within the robotic manipulator.

11 . The method of claim 1 , wherein determining forces includes determining the forces using input from a force sensor on the surgical instrument.

12 . The method of claim 1 , wherein the surgical instrument includes jaws and the method includes grasping tissue using the surgical instrument using the jaws.

13 . The method of claim 1 , wherein the indicia is a graphical overlay having a color that changes along a color spectrum as the force increases or decreases.

14 . The method of claim 1 , wherein the indicia is a graphical overlay has a first color when the force is below a predetermined force threshold and a second color when the force is above the predetermined force threshold.

15 . The method of claim 14 , wherein the graphical overlay has a third color when the force is above a second predetermined force threshold, the second predetermined force threshold being higher than the first predetermined force threshold.

16 . The method of claim 1 , wherein the indicia is a graphical overlay having a size that increases as the force increases and that decreases as the force decreases.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 4, 2025
From: ASENSUS SURGICAL US, INC.
To: KARL STORZ SE & CO. KG
Reel/Frame 073841/0423 →
SECURITY INTEREST Recorded Dec 31, 2024
From: ASENSUS SURGICAL, INC.; ASENSUS SURGICAL US, INC.; ASENSUS SURGICAL EUROPE S.À R.L.; ASENSUS SURGICAL ITALIA S.R.L.
To: KARL STORZ SE & CO. KG
Reel/Frame 069795/0381 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 3, 2024
From: HUFFORD, KEVIN ANDREW; PENNY, MATTHEW ROBERT
To: ASENSUS SURGICAL US, INC.
Reel/Frame 066992/0497 →
Continuity (1)
Related Publication 20210307861A1 · Oct 7, 2021
References Cited (39)
US 9204830B2 · Zand et al. · 2015 [cited by applicant]
US 9547940B1 · Sun · 2017 [cited by examiner]
US 20020150966A1 · Muraca · 2002 [cited by examiner]
US 20040024288A1 · Uchikubo · 2004 [cited by examiner]
US 20060256191A1 · Iketani et al. · 2006 [cited by applicant]
US 20080177279A1 · Sumanaweera et al. · 2008 [cited by applicant]
US 20090201577A1 · LaPlante et al. · 2009 [cited by applicant]
US 20100137882A1 · Quaid, III · 2010 [cited by examiner]
US 20100169815A1 · Zhao · 2010 [cited by examiner]
US 20110224574A1 · Sadler · 2011 [cited by examiner]
US 20110234782A1 · Ehrhardt · 2011 [cited by examiner]
US 20120156712A1 · Takats · 2012 [cited by examiner]
US 20120274631A1 · Friedland · 2012 [cited by examiner]
US 20130253489A1 · Nau, Jr. · 2013 [cited by examiner]
US 20130296908A1 · Schulte · 2013 [cited by examiner]
US 20140005483A1 · Ohashi · 2014 [cited by examiner]
US 20140081659A1 · Nawana · 2014 [cited by examiner]
US 20140188133A1 · Misener · 2014 [cited by examiner]
US 20150182107A1 · King et al. · 2015 [cited by applicant]
US 20150264339A1 · Riedel · 2015 [cited by examiner]
US 20150305811A1 · Neuberger · 2015 [cited by applicant]
US 20160100763A1 · Fengler · 2016 [cited by examiner]
US 20160174848A1 · Ammar · 2016 [cited by examiner]
US 20160239617A1 · Farooq · 2016 [cited by examiner]
US 20160249989A1 · Devam · 2016 [cited by examiner]
US 20160262750A1 · Hausen · 2016 [cited by examiner]
US 20170143260A1 · Latimer · 2017 [cited by examiner]
US 20170188792A1 · Itkowitz · 2017 [cited by examiner]
US 20170325893A1 · Ludwin · 2017 [cited by examiner]
US 20180064499A1 · Itkowitz · 2018 [cited by examiner]
US 20180092700A1 · Itkowitz · 2018 [cited by examiner]
US 20190090969A1 · Jarc · 2019 [cited by examiner]
US 20200078105A1 · Itkowitz · 2020 [cited by examiner]
US 20210065896A1 · Chiu · 2021 [cited by examiner]
WO 2016056332A1 · 2016 [cited by applicant]
WO 2017031568A1 · 2017 [cited by applicant]
Schemes for the Identification of Tissue Types and Boundaries at the Tool Point for Surgical Needles, Peter N. Brett, Andrew J. Harrison, and Trevor A. Thomas, IEEE Transactions On Information Technology in Biomedicine,… [cited by examiner]
Contextual Anatomic Mimesis Hybrid In-Situ Visualization Method for Improving Multi-Sensory Depth Perception in Medical augmented Reality, Christoph Bichlmeier et al., 2007 IEEE. [cited by examiner]
Apr. 2014, Published by ACM, Stereoscopic augmented reality system for supervised training on minimal invasive surgery robots, Florin Octavian Matu et al. [cited by examiner]