IP Library Granted Patent US 12,499,540
Granted Patent B2
US 12,499,540 · App. 18/505,442 · Granted Dec 16, 2025

System and method for navigating and illustrating a procedure

Inventors: Matthew W. Koenig (Denver, CO); Marco Capote (Boulder, CO)
Assignee: Medtronic Navigation, Inc.
G06T7/0012A61B34/20G06T7/11A61B5/055A61B6/032A61B6/037A61B6/4085A61B2034/2065G06T2200/24G06T2207/30052
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,499,540
App. No.
18/505,442
Granted
Dec 16, 2025
Kind
B2
Abstract

Disclosed is a system to assist in a procedure. During the procedure an object may be moved relative to a subject, such as being positioned and/or placed within a subject. The system and related method may be used to assist in displaying and/or determining a pose of the object relative to a subject, such as rigid portions of a subject.

Claims (69)

1 . A method of planning an implant configuration for a procedure, comprising:

accessing an image data of a subject having at least a first portion and a second portion of the subject;

analyzing a region of interest (ROI) between the first portion and the second portion;

determining an ROI volume geometry of the region of interest between the first portion and the second portion of the subject;

accessing a model of an object, the model including at least (i) a dimension of a rigid portion of the object and (ii) a plurality of possible configurations of a configurable portion of the object;

analyzing the accessed model to determine whether the object may achieve the ROI volume geometry; and

outputting a result of the analysis of the accessed model;

wherein outputting the result includes determining if the object fills a selected threshold of the determined ROI volume geometry but not greater than the determined ROI volume geometry.

2 . The method of claim 1 , further comprising:

selecting the region of interest in the image data with an input from a user.

3 . The method of claim 1 , wherein the plurality of possible configurations of the configurable portion of the object includes at least one of a range of motion of the configurable portion, a plastic deformation range of the configurable portion, an elastic deformation range of the configurable portion, or combinations thereof.

4 . The method of claim 1 , wherein outputting the result includes outputting that the object may positively achieve the ROI volume geometry within the selected threshold or outputting that the object may not achieve the ROI volume geometry within the selected threshold.

5 . The method of claim 4 , further comprising:

evaluating for the implant the object based on the output result of the analysis of the accessed first model.

6 . The method of claim 1 , wherein the model of the object is a first model of a first object, the method further comprising:

accessing a second model of a second object, wherein the second model of the second object includes at least (i) a dimension of a rigid portion of the second object and (ii) a plurality of possible configurations of a configurable portion of the second object;

analyzing the accessed second model to determine whether the second object may achieve the ROI volume geometry based on the accessed second model; and

outputting a result of the analysis of the accessed second model.

7 . The method of claim 6 , further comprising:

comparing the output result of the analysis of the accessed first model and the output result of the analysis of the accessed second model; and

outputting a comparison result of the comparing the output result of the analysis of the accessed first model and the output result of the analysis of the accessed second model.

8 . The method of claim 7 , further comprising:

determining an optimal fit of the first object or the second object to the ROI volume geometry based on the comparing the output result of the analysis of the accessed first model and the output result of the analysis of the accessed second model.

9 . The method of claim 1 , wherein the model is a first model and the object is a first object, the method further comprising:

determining whether the output result of the analysis of the accessed first model matches the ROI volume geometry within the selected threshold;

if the output result of the analysis of the accessed first model is outside the selected threshold match of the ROI volume geometry:

accessing a second model of a second object, wherein the second model of the second object includes at least (i) a dimension of a rigid portion of the second object and (ii) a plurality of possible configurations of a configurable portion of the second object;

analyzing the accessed second model to determine whether the second object may achieve the ROI volume geometry based on the accessed second model; and

outputting a result of the analysis of the accessed second model.

10 . A system for planning an implant configuration for a procedure, comprising:

a processor system configured to execute instructions to:

access an image data of a subject having at least a first portion and a second portion of the subject;

analyze a region of interest (ROI) between the first portion and the second portion;

analyze an ROI volume geometry of the region of interest between the first portion and the second portion of the subject;

access a model of an object, the model including at least (i) a dimension of a rigid portion of the object and (ii) a plurality of possible configurations of a configurable portion of the first object;

analyze the accessed model to determine whether the object may achieve the ROI volume geometry; and

output a result of the analysis of the accessed first model; and

an output device to receive the output;

wherein outputting the result includes determining if the object fills a selected threshold of the determined ROI volume geometry but not greater than the determined ROI volume geometry.

11 . The system of claim 10 , further comprising:

a user input device to input a selection of the region of interest in the image data with an input from a user.

12 . The system of claim 10 , wherein the output device is operable to display whether the object is able to achieve the ROI volume geometry within the selected threshold.

13 . The system of claim 10 , wherein the model of the object is a first model of a first object, and wherein the processor system is configured to execute further instructions to:

access a second model of a second object, wherein the second model of the second object includes at least (i) a dimension of a rigid portion of the second object and (ii) a plurality of possible configurations of a configurable portion of the second object;

analyze the accessed second model to determine whether the second object may achieve the ROI volume geometry based on the accessed second model; and

output a result of the analysis of the accessed second model.

14 . The system of claim 13 , wherein the processor system is configured to execute further instructions to:

compare the output result of the analysis of the accessed first model and the output result of the analysis of the accessed second model; and

output a comparison result of the comparing the output result of the analysis of the accessed first model and the output result of the analysis of the accessed second model.

15 . The system of claim 14 , wherein the processor system is configured to execute further instructions to:

determine an optimal fit of the first object or the second object to the ROI volume geometry based on the comparing the output result of the analysis of the accessed first model and the output result of the analysis of the accessed second model.

16 . The system of claim 10 , wherein the model of the object is a first model of a first object, and wherein the processor system is configured to execute further instructions to:

determine whether the output result of the analysis of the accessed first model matches the ROI volume geometry within the selected threshold;

if the output result of the analysis of the accessed first model is outside the selected threshold match of the ROI volume geometry:

access a second model of a second object, wherein the second model of the second object includes at least (i) a dimension of a rigid portion of the second object and (ii) a plurality of possible configurations of a configurable portion of the second object;

analyze the accessed second model to determine whether the second object may achieve the ROI volume geometry based on the accessed second model; and

output a result of the analysis of the accessed second model.

17 . A method of planning an implant configuration for a procedure, comprising:

accessing an image data of a subject having at least a first portion and a second portion of the subject;

analyzing a region of interest (ROI) between the first portion and the second portion;

determining an ROI volume geometry of the region of interest between the first portion and the second portion of the subject;

accessing a model of an object, the model including at least (i) a dimension of a rigid portion of the object and (ii) a plurality of possible configurations of a configurable portion of the object;

analyzing the accessed model to determine an optimal fit of the object to achieve the ROI volume geometry; and

outputting a result of the analysis of the accessed models;

wherein outputting the result includes determining if the object fills a selected threshold of the determined ROI volume geometry but not greater than the determined ROI volume geometry.

18 . The method of claim 17 , wherein the object comprises a first object and a second object and the model comprises a first model and a second model;

wherein the first model includes (i) a first dimension of a first rigid portion of the first object and (ii) a first plurality of possible configurations of a first configurable portion of the first object; and

wherein the second model includes (i) a second dimension of a second rigid portion of the second object and (ii) a second plurality of possible configurations of a second configurable portion of the second object.

19 . The method of claim 18 , wherein analyzing the accessed model includes analyzing the first model and the second model to determine the optimal fit of at least one of the first object or the second object to achieve the ROI volume geometry.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 9, 2023
From: KOENIG, MATTHEW W.; CAPOTE, MARCO
To: MEDTRONIC NAVIGATION, INC.
Reel/Frame 065509/0281 →
Continuity (2)
Continuation 16861448 · Apr 29, 2020
Related Publication 20240070865A1 · Feb 29, 2024
References Cited (74)
US 7156876B2 · Moumene et al. · 2007 [cited by applicant]
US 7648529B2 · An et al. · 2010 [cited by applicant]
US 7697972B2 · Verard et al. · 2010 [cited by applicant]
US RE44305E · Foley et al. · 2013 [cited by applicant]
US 8644907B2 · Hartmann et al. · 2014 [cited by applicant]
US 8842893B2 · Teichman et al. · 2014 [cited by applicant]
US 9384328B1 · Parvizi · 2016 [cited by applicant]
US 9408711B2 · Burkinshaw et al. · 2016 [cited by applicant]
US 9452016B2 · Moisa et al. · 2016 [cited by applicant]
US 9491415B2 · Deitz et al. · 2016 [cited by applicant]
US 10117753B2 · Suh et al. · 2018 [cited by applicant]
US 10292770B2 · Ryan et al. · 2019 [cited by applicant]
US 10369006B2 · Burkinshaw et al. · 2019 [cited by applicant]
US 10443974B2 · Finsand · 2019 [cited by applicant]
US 11890060B2 · Koenig et al. · 2024 [cited by applicant]
US 20040199072A1 · Sprouse et al. · 2004 [cited by applicant]
US 20050197814A1 · Aram et al. · 2005 [cited by applicant]
US 20050240126A1 · Foley et al. · 2005 [cited by applicant]
US 20060110068A1 · Luo et al. · 2006 [cited by applicant]
US 20060200244A1 · Assaker · 2006 [cited by applicant]
US 20070276501A1 · Betz et al. · 2007 [cited by applicant]
US 20080161680A1 · von Jako et al. · 2008 [cited by applicant]
US 20090240169A1 · Warkentine et al. · 2009 [cited by applicant]
US 20100092054A1 · Hensley et al. · 2010 [cited by applicant]
US 20120158060A1 · Abrahams et al. · 2012 [cited by applicant]
US 20120290272A1 · Bryan · 2012 [cited by applicant]
US 20130110241A1 · Palmatier et al. · 2013 [cited by applicant]
US 20140244220A1 · McKinnon et al. · 2014 [cited by applicant]
US 20140257411A1 · Rezach · 2014 [cited by applicant]
US 20160045317A1 · Lang et al. · 2016 [cited by applicant]
US 20160100955A1 · Stinchfield et al. · 2016 [cited by applicant]
US 20160338782A1 · Bowling et al. · 2016 [cited by applicant]
US 20160343273A1 · Stuart et al. · 2016 [cited by applicant]
US 20160371838A1 · Neetz · 2016 [cited by applicant]
US 20170196643A1 · Popovic et al. · 2017 [cited by applicant]
US 20170367766A1 · Mahfouz · 2017 [cited by applicant]
US 20170367842A1 · Predick et al. · 2017 [cited by applicant]
US 20180092699A1 · Finley · 2018 [cited by applicant]
US 20180110628A1 · Sharifi-Mehr et al. · 2018 [cited by applicant]
US 20180205935A1 · Burakou · 2018 [cited by applicant]
US 20180303552A1 · Ryan et al. · 2018 [cited by applicant]
US 20180360544A1 · Vanheule et al. · 2018 [cited by applicant]
US 20190060007A1 · Fossez · 2019 [cited by applicant]
US 20190167352A1 · Mahfouz · 2019 [cited by applicant]
US 20190167435A1 · Cordonnier · 2019 [cited by applicant]
US 20190254756A1 · Zhang et al. · 2019 [cited by applicant]
US 20190254838A1 · Miller et al. · 2019 [cited by applicant]
US 20190290361A1 · Shalayev et al. · 2019 [cited by applicant]
US 20190328460A1 · Ronen et al. · 2019 [cited by applicant]
US 20190328461A1 · Kemp et al. · 2019 [cited by applicant]
US 20190336220A1 · Hladio et al. · 2019 [cited by applicant]
US 20200030034A1 · Kontaxis et al. · 2020 [cited by applicant]
US 20200035348A1 · Sartor et al. · 2020 [cited by applicant]
US 20200205898A1 · Hampp et al. · 2020 [cited by applicant]
US 20200281742A1 · Wu et al. · 2020 [cited by applicant]
US 20210192759A1 · Lang · 2021 [cited by applicant]
US 20210196381A1 · Eckert et al. · 2021 [cited by applicant]
US 20210354286A1 · DiMaio et al. · 2021 [cited by applicant]
US 20220071769A1 · Farley et al. · 2022 [cited by applicant]
US 20220079675A1 · Lang · 2022 [cited by applicant]
CN 109152610A · 2019 [cited by applicant]
EP 1442715A2 · 2004 [cited by applicant]
WO 2019246559A1 · 2019 [cited by applicant]
U.S. Appl. No. 16/861,448, filed Apr. 29, 2020, Matthew W. Koenig. [cited by applicant]
European Communication from European Patent Office for related European Application No. 21730323.9 dated Jul. 17, 2024, 5 pages. [cited by applicant]
Cicek, et al.; 3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation, International Conference on Medical Image Computing and Computer-Assisted Intervention, Springer, Cham, pp. 424-432 (2016) (https:/… [cited by applicant]
International Search Report and Written Opinion regarding International Application No. PCT/US2021/029426, dated Aug. 6, 2021. [cited by applicant]
International Search Report and Written Opinion regarding International Application No. PCT/US2021/029430, dated Aug. 19, 2021. [cited by applicant]
International Preliminary Report on Patentability corresponding to PCT/US2021/029426 dated Oct. 27, 2022. [cited by applicant]
International Preliminary Report on Patentability corresponding to PCT/US2021/029430, Date of Mailing: Nov. 10, 2022. [cited by applicant]
Ruikar, Darshan D., Ravindra S. Hegadi, and K. C. Santosh. “A systematic review on orthopedic simulators for psycho-motor skill and surgical procedure training.” Journal of medical systems 42 (2018): 1-21. (Year: 2018). [cited by applicant]
Zheng, Yefeng, et al. “Automatic aorta segmentation and valve landmark detection in C-arm CT for transcatheter aortic valve implantation.” IEEE transactions on medical imaging 31.12 (2012): 2307-2321. (Year: 2012). [cited by applicant]
Tutunea-Fatan, 0. Remus, et al. “Application of collision detection to assess implant insertion in elbow replacement surgery.” Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling. vol. 7625. SPIE,… [cited by applicant]
Galanis, Christos C., et al. “Computer methods for automating preoperative dental implant planning: Implant positioning and size assignment.” Computer methods and programs in biomedicine 86.1 (2007): 30-38. (Year: 2007). [cited by applicant]