IP Library Granted Patent US 12,551,290
Granted Patent B2
US 12,551,290 · App. 17/608,953 · Granted Feb 17, 2026

Bone wall tracking and guidance for orthopedic implant placement

Inventors: Benjamin Dassonville (Saint Hilaire du Touvet, FR); Vincent Gaborit (Saint Martin d'Hères, FR); Damien Cariou (Loperhet, FR); Yannick Morvan (Saint Renan, FR)
Assignee: Howmedica Osteonics Corp.
A61B34/20A61B17/15A61B17/1684A61B17/1778A61B34/10A61B90/37A61F2/4059A61F2/4612G16H20/40G16H40/63A61B2017/00026A61B2017/00039A61B2017/00106A61B2017/00119A61B2017/00203A61B2017/00207A61B2017/00216A61B2017/00221A61B2034/102A61B2034/105A61B2034/107A61B2034/108A61B2034/2048A61B2034/2051A61B2034/2055A61B2034/2065A61B34/25A61B2090/061A61B2090/0801A61B90/361A61B2090/365A61B2090/371A61B2090/372A61B2090/3937A61B2090/3983A61B2090/502
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 12,551,290
App. No.
17/608,953
Filed
Nov 4, 2021
Granted
Feb 17, 2026
Kind
B2
Art Unit
3775
USPC
606/102
Abstract

An example method includes registering a virtual model of a portion of a bone of a patient with a corresponding observed portion of the bone, the virtual model including a representation of a wall of the bone; registering a virtual model of an implant component with a corresponding observed implant component; and indicating, based on the registered virtual model of the portion of the bone and the registered virtual model of the implant component, a position of at least a portion of the implant component relative to a position of the wall of the bone.

Claims (57)

1 . A method comprising:

registering, by processing circuitry, based on data from one or more sensors of a virtual surgical system identifying one or more positions of one or more corresponding physical markers, a bone virtual model with a corresponding portion of a bone of a patient, the bone virtual model including a three-dimensional (3D) mesh of points that correspond to a wall of the bone;

registering, by the processing circuitry, an implant virtual model with an implant component that corresponds to the implant virtual model, the implant virtual model comprising a 3D mesh of points that correspond to an outer surface of the implant component;

estimating, by the processing circuitry, an estimated distance between a portion of the implant component and a position of the wall of the bone, wherein estimating the estimated distance comprises:

determining, in real time and based on sensor data from the one or more sensors, respective distances between respective pairs of points of the 3D mesh of points that correspond to the wall of the bone and the 3D mesh of points that correspond to the outer surface of the implant component; and

for each of the respective pairs of points, identifying a minimum of the determined respective distances as the estimated distance; and

intraoperatively indicating, by the processing circuitry, in real time and based on the bone virtual model and the implant virtual model and via a mixed reality (MR) visualization device of the virtual surgical system worn by a surgeon while the surgeon inserts the implant component into the bone, a position of the portion of the implant component relative to the position of the wall of the bone, wherein indicating the position of the portion of the implant component relative to the position of the wall of the bone comprises:

continuously displaying, via the MR visualization device, a graphical representation of the bone virtual model relative to the implant virtual model, and a representation indicative of the estimated distance between the the portion of the implant component and the position of the wall of the bone.

2 . The method of claim 1 , wherein the wall of the bone comprises an outer cortical wall, and wherein the 3D mesh of points that correspond to the wall of the bone further comprises points that correspond to an inner cortical wall of the bone.

3 . The method of claim 1 , wherein the wall of the bone comprises an inner cortical wall, and wherein the 3D mesh of points that correspond to the wall of the bone comprises points that correspond to an outer cortical wall of the bone.

4 . The method of claim 1 , further comprising:

responsive to determining that the minimum of the determined respective distances is less than a threshold distance, outputting, by the processing circuitry, a warning.

5 . The method of claim 4 , wherein outputting the warning comprises outputting the warning using one or more of haptic output, audio output, graphical output, or textual output.

6 . The method of claim 1 , wherein displaying the graphical representation of the bone virtual model relative to the implant virtual model comprises:

displaying, via the MR visualization device and overlaid on the portion of the bone, the bone virtual model; and

displaying, via the MR visualization device and overlaid on the portion of the bone, the implant virtual model.

7 . The method of claim 1 , wherein intraoperatively indicating the position of the portion of the implant component relative to the position of the wall of the bone further comprises displaying a numerical value of the estimated distance.

8 . The method of claim 1 , wherein the bone is a humerus, and wherein the implant component comprises a stem of a humeral implant.

9 . The method of claim 1 , wherein the implant component comprises an implant tool.

10 . The method of claim 1 , wherein the implant virtual model includes a representation of the outer surface of the implant component.

11 . The method of claim 1 , further comprising:

outputting virtual guidance to guide use of the implant component.

12 . The method of claim 1 , wherein the one or more sensors comprise one or more sensors of the MR visualization device.

13 . The method of claim 1 further comprising placing the one or more corresponding physical markers on the bone.

14 . The method of claim 1 , wherein the the portion of the implant component comprises a humeral stem, the bone comprises a humerus, and wherein the wall of the bone comprises a cortical bone wall around a humeral canal of the humerus.

15 . A virtual surgical system comprising:

one or more memories;

one or more sensors; and

processing circuitry configured to:

register, using data from the one or more sensors identifying one or more positions of one or more corresponding physical markers, a bone virtual model with a corresponding portion of a bone of a patient, the bone virtual model including a three-dimensional (3D) mesh of points that correspond to a wall of the bone;

register, using the one or more sensors, an implant virtual model with an implant component corresponding to the implant virtual model, the implant virtual model comprising a second 3D mesh of points that correspond to an outer surface of the implant component;

estimate an estimated distance between a portion of the implant component and a position of the wall of the bone, wherein to estimate the estimated distance, the processing circuitry is configured to:

determine, in real time and based on sensor data from the one or more sensors, respective distances between respective pairs of points of the 3D mesh of points that correspond to the wall of the bone and the 3D mesh of points that correspond to the outer surface of the implant component; and

for each of the respective pairs of points, identify a minimum of the determined respective distances as the estimated distance; and

intraoperatively indicate, in real time and based on the bone virtual model and the implant virtual model and via a mixed reality (MR) visualization device of the virtual surgical system worn by a surgeon while the surgeon inserts the implant component into the bone, a position of the portion of the implant component relative to the position of the wall of the bone, wherein to indicate the position of the portion of the implant component relative to the position of the wall of the bone in real time, the processing circuitry is configured to:

continuously display, via the MR visualization device, a graphical representation of the bone virtual model relative to the implant virtual model, and a representation indicative of estimated distance between the the portion of the implant component and the position of the wall of the bone.

16 . The virtual surgical system of claim 15 , wherein the wall of the bone comprises an outer cortical wall, and wherein the 3D mesh of points that correspond to the wall of the bone further comprises points that correspond to an inner cortical wall of the bone.

17 . The virtual surgical system of claim 15 , wherein the wall of the bone comprises an inner cortical wall, and wherein the 3D mesh of points that correspond to the wall of the bone further comprises points that correspond to an outer cortical wall of the bone.

18 . The virtual surgical system of claim 15 , wherein the processing circuitry is further configured to:

responsive to determining that the minimum of the determined respective distances is less than a threshold distance, output a warning.

19 . The virtual surgical system of claim 18 , wherein, to output the warning, the processing circuitry is configured to output the warning using one or more of haptic output, audio output, graphical output, or textual output.

20 . The virtual surgical system of claim 15 , wherein to display the graphical representation of the bone virtual model relative to the implant virtual model, the processing circuitry is configured to cause the MR visualization device to:

display, via the MR visualization device and overlaid on the portion of the bone, the bone virtual model; and

display, via the MR visualization device and overlaid on the portion of the bone, the implant virtual model.

21 . The virtual surgical system of claim 15 , wherein, to indicate the position of the portion of the implant component relative to the position of the wall of the bone, the processing circuitry is configured to display a numerical value of the estimated distance.

22 . The virtual surgical system of claim 15 , wherein the bone is a humerus, and wherein the implant component comprises a stem of a humeral implant.

23 . The virtual surgical system of claim 15 , wherein the implant component comprises an implant tool.

24 . The virtual surgical system of claim 15 , wherein the implant virtual model includes a representation of the outer surface of the implant component.

25 . The virtual surgical system of claim 15 , wherein the processing circuitry is further configured to: output virtual guidance to guide use of the implant component.

26 . One or more non-transitory computer-readable storage media storing instructions that, when executed by one or more processors, cause the one or more processors to:

register, based on data from one or more sensors of a virtual surgical system identifying one or more positions of one or more corresponding physical markers, a bone virtual model with a corresponding portion of a bone of a patient, the bone virtual model including a three-dimensional (3D) mesh of points that correspond to a wall of the bone;

register an implant virtual model with an implant component that corresponds to the implant virtual model, the implant virtual model comprising a 3D mesh of points that correspond to an outer surface of the implant component;

estimate an estimated distance between a portion f the implant component and a position of the wall of the bone, wherein estimating the estimated distance comprises:

determine, in real time and based on sensor data from the one or more sensors, respective distances between respective pairs of points of the 3D mesh of points that correspond to the wall of the bone and the 3D mesh of points that correspond to the outer surface of the implant component; and

for each of the respective pairs of points, identifying a minimum of the determined respective distances as the estimated distance; and

intraoperatively indicate, in real time and based on the bone virtual model and the implant virtual model and via a mixed reality (MR) visualization device of the virtual surgical system worn by a surgeon while the surgeon inserts the implant component into the bone, a position of the portion of the implant component relative to the position of the wall of the bone, wherein to indicate the position of the portion of the implant component relative to the position of the wall of the bone, the one or more processors are configured to:

continuously display, via the MR visualization device, a graphical representation of the bone virtual model relative to the implant virtual model, and a representation indicative of the estimated distance between the the portion of the implant component and the position of the wall of the bone.

Assignments (7)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 14, 2022
From: IMASCAP SAS
To: TORNIER INC.
Reel/Frame 059907/0473 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2021
From: DASSONVILLE, BENJAMIN; GABORIT, VINCENT
To: TORNIER SAS
Reel/Frame 058159/0358 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2021
From: TORNIER SAS
To: TORNIER INC.
Reel/Frame 058159/0411 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2021
From: DASSONVILLE, BENJAMIN; GABORIT, VINCENT
To: TORNIER SAS
Reel/Frame 058159/0210 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2021
From: TORNIER INC.
To: HOWMEDICA OSTEONICS CORP.
Reel/Frame 058191/0087 →
CONFIRMATORY ASSIGNMENT Recorded Nov 19, 2021
From: CARIOU, DAMIEN; MORVAN, YANNICK
To: IMASCAP SAS
Reel/Frame 059787/0178 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2021
From: TORNIER SAS
To: TORNIER INC.
Reel/Frame 058159/0439 →
Continuity (3)
Provisional Application 62847740 · May 14, 2019
Provisional Application 62847746 · May 14, 2019
Related Publication 20220211444A1 · Jul 7, 2022
References Cited (241)
US 7715602B2 · Richard · 2010 [cited by applicant]
US 7857821B2 · Couture et al. · 2010 [cited by applicant]
US 8147496B2 · Couture et al. · 2012 [cited by applicant]
US 8482859B2 · Border et al. · 2013 [cited by applicant]
US 8506645B2 · Blaylock et al. · 2013 [cited by applicant]
US 8512346B2 · Couture · 2013 [cited by applicant]
US 8617170B2 · Ashby et al. · 2013 [cited by applicant]
US 8819591B2 · Wang et al. · 2014 [cited by applicant]
US 8894654B2 · Anderson · 2014 [cited by applicant]
US 8951256B2 · Burroughs · 2015 [cited by applicant]
US 9123155B2 · Cunningham et al. · 2015 [cited by applicant]
US 9498132B2 · Maier-Hein et al. · 2016 [cited by applicant]
US 9681925B2 · Azar et al. · 2017 [cited by applicant]
US 9839486B2 · Hughes et al. · 2017 [cited by applicant]
US 9861446B2 · Lang · 2018 [cited by applicant]
US 9980780B2 · Lang · 2018 [cited by applicant]
US 10010379B1 · Gibby et al. · 2018 [cited by applicant]
US 10013808B2 · Jones et al. · 2018 [cited by applicant]
US 10016243B2 · Esterberg · 2018 [cited by applicant]
US 10052170B2 · Saget et al. · 2018 [cited by applicant]
US 10159530B2 · Lang · 2018 [cited by applicant]
US 10194990B2 · Amanatullah et al. · 2019 [cited by applicant]
US 10258427B2 · Saget et al. · 2019 [cited by applicant]
US 10278777B1 · Lang · 2019 [cited by applicant]
US 10292768B2 · Lang · 2019 [cited by applicant]
US 10368947B2 · Lang · 2019 [cited by applicant]
US 10398514B2 · Ryan et al. · 2019 [cited by applicant]
US 10405927B1 · Lang · 2019 [cited by applicant]
US 10426549B2 · Kehres · 2019 [cited by examiner]
US 10467752B2 · Tanji · 2019 [cited by applicant]
US 10499996B2 · de Almeida Barreto · 2019 [cited by applicant]
US 10546423B2 · Jones et al. · 2020 [cited by applicant]
US 10548667B2 · Flett et al. · 2020 [cited by applicant]
US 10580217B2 · Jones et al. · 2020 [cited by applicant]
US 10603113B2 · Lang · 2020 [cited by applicant]
US 10646283B2 · Johnson et al. · 2020 [cited by applicant]
US 10646285B2 · Siemionow et al. · 2020 [cited by applicant]
US 10650594B2 · Jones et al. · 2020 [cited by applicant]
US 10687901B2 · Thomas · 2020 [cited by applicant]
US 10743939B1 · Lang · 2020 [cited by applicant]
US 10799296B2 · Lang · 2020 [cited by applicant]
US 10806518B2 · Amanatullah · 2020 [cited by applicant]
US 10813700B2 · Amanatullah · 2020 [cited by applicant]
US 10818199B2 · Buras et al. · 2020 [cited by applicant]
US 10825563B2 · Gibby et al. · 2020 [cited by applicant]
US 10846851B2 · Boettger et al. · 2020 [cited by applicant]
US 10849693B2 · Lang · 2020 [cited by applicant]
US 10861236B2 · Geri et al. · 2020 [cited by applicant]
US 10881462B2 · Heavener et al. · 2021 [cited by applicant]
US 10987176B2 · Poltaretskyi et al. · 2021 [cited by applicant]
US 10987190B2 · Flossmann et al. · 2021 [cited by applicant]
US 11013560B2 · Lang · 2021 [cited by applicant]
US 11062522B2 · Jones et al. · 2021 [cited by applicant]
US 11071590B2 · Moctezuma De la Barrera · 2021 [cited by applicant]
US 11080934B2 · Tseng et al. · 2021 [cited by applicant]
US 11103311B2 · May et al. · 2021 [cited by applicant]
US 11135016B2 · Frielinghaus et al. · 2021 [cited by applicant]
US 11153555B1 · Healy et al. · 2021 [cited by applicant]
US 11172990B2 · Lang · 2021 [cited by applicant]
US 11172996B1 · Qian et al. · 2021 [cited by applicant]
US 11176750B2 · Jones et al. · 2021 [cited by applicant]
US 11202675B2 · Uhde et al. · 2021 [cited by applicant]
US 11207150B2 · Healy et al. · 2021 [cited by applicant]
US 11217028B2 · Jones et al. · 2022 [cited by applicant]
US 11237627B2 · Gibby et al. · 2022 [cited by applicant]
US 11253321B2 · Amanatullah · 2022 [cited by applicant]
US 11287874B2 · Gibby et al. · 2022 [cited by applicant]
US 11302005B2 · Tanji · 2022 [cited by applicant]
US 11311341B2 · Lang · 2022 [cited by applicant]
US 11357576B2 · Jo et al. · 2022 [cited by applicant]
US 11382699B2 · Wassall et al. · 2022 [cited by applicant]
US 11382713B2 · Healy et al. · 2022 [cited by applicant]
US 11413094B2 · Qiu et al. · 2022 [cited by applicant]
US 11439469B2 · Poltaretskyi et al. · 2022 [cited by applicant]
US 11452568B2 · Lang · 2022 [cited by applicant]
US 11457982B2 · Marti et al. · 2022 [cited by applicant]
US 11461983B2 · Jones et al. · 2022 [cited by applicant]
US 11510750B2 · Dulin et al. · 2022 [cited by applicant]
US 11532135B2 · Geri et al. · 2022 [cited by applicant]
US 11571263B2 · Moore et al. · 2023 [cited by applicant]
US 11589923B2 · Running et al. · 2023 [cited by applicant]
US 11589927B2 · Oezbek et al. · 2023 [cited by applicant]
US 11602395B2 · Lang · 2023 [cited by applicant]
US 11607277B2 · Calloway et al. · 2023 [cited by applicant]
US 11622818B2 · Siemionow et al. · 2023 [cited by applicant]
US 11638613B2 · Murphy · 2023 [cited by applicant]
US 11645531B2 · Moore et al. · 2023 [cited by applicant]
US 11690697B2 · Healy et al. · 2023 [cited by applicant]
US 11730544B2 · Moctezuma De la Barrera · 2023 [cited by applicant]
US 11734901B2 · Jones et al. · 2023 [cited by applicant]
US 11751944B2 · Lang · 2023 [cited by applicant]
US 11763531B2 · Jones et al. · 2023 [cited by applicant]
US 11766296B2 · Wolf et al. · 2023 [cited by applicant]
US 11839433B2 · Schaewe et al. · 2023 [cited by applicant]
US 11850003B2 · Lang · 2023 [cited by applicant]
US 20060184454A1 · Ananda · 2006 [cited by applicant]
US 20080114270A1 · DiSilvestro et al. · 2008 [cited by applicant]
US 20080319448A1 · Lavallee et al. · 2008 [cited by applicant]
US 20090000626A1 · Quaid · 2009 [cited by examiner]
US 20090012532A1 · Quaid et al. · 2009 [cited by applicant]
US 20110257653A1 · Hughes · 2011 [cited by examiner]
US 20120106819A1 · Fernandez Oca · 2012 [cited by applicant]
US 20150313684A1 · Fanson et al. · 2015 [cited by applicant]
US 20160113683A1 · Cheng · 2016 [cited by applicant]
US 20170027651A1 · Esterberg · 2017 [cited by applicant]
US 20170071691A1 · Crawford · 2017 [cited by examiner]
US 20170172665A1 · Otto et al. · 2017 [cited by applicant]
US 20170229044A1 · Benson et al. · 2017 [cited by applicant]
US 20170245830A1 · Netravali et al. · 2017 [cited by applicant]
US 20170258526A1 · Lang · 2017 [cited by applicant]
US 20170312032A1 · Amanatullah et al. · 2017 [cited by applicant]
US 20180014891A1 · Krebs · 2018 [cited by examiner]
US 20180049622A1 · Ryan et al. · 2018 [cited by applicant]
US 20180132941A1 · Haider · 2018 [cited by examiner]
US 20180140362A1 · Cali et al. · 2018 [cited by applicant]
US 20180242880A1 · Bhushan et al. · 2018 [cited by applicant]
US 20180271381A1 · Scharf et al. · 2018 [cited by applicant]
US 20190053851A1 · Siemionow et al. · 2019 [cited by applicant]
US 20190113683A1 · Tokutaka et al. · 2019 [cited by applicant]
US 20200038112A1 · Amanatullah et al. · 2020 [cited by applicant]
US 20200229877A1 · Siemionow et al. · 2020 [cited by applicant]
US 20200246074A1 · Lang · 2020 [cited by applicant]
US 20200246081A1 · Johnson et al. · 2020 [cited by applicant]
US 20200390503A1 · Casas et al. · 2020 [cited by applicant]
US 20200405398A1 · Amanatullah · 2020 [cited by applicant]
US 20210015559A1 · Mahfouz · 2021 [cited by applicant]
US 20210022808A1 · Lang · 2021 [cited by applicant]
US 20210090344A1 · Geri et al. · 2021 [cited by applicant]
US 20210093388A1 · Poltaretskyi et al. · 2021 [cited by applicant]
US 20210093389A1 · Poltaretskyi et al. · 2021 [cited by applicant]
US 20210093390A1 · Poltaretskyi et al. · 2021 [cited by applicant]
US 20210093392A1 · Poltaretskyi et al. · 2021 [cited by applicant]
US 20210121237A1 · Fanson et al. · 2021 [cited by applicant]
US 20210128244A1 · Couture et al. · 2021 [cited by applicant]
US 20210169578A1 · Calloway et al. · 2021 [cited by applicant]
US 20210169581A1 · Calloway et al. · 2021 [cited by applicant]
US 20210169605A1 · Calloway et al. · 2021 [cited by applicant]
US 20210241534A1 · Avisar et al. · 2021 [cited by applicant]
US 20210251717A1 · Healy et al. · 2021 [cited by applicant]
US 20210267698A1 · Siemionow et al. · 2021 [cited by applicant]
US 20210327304A1 · Buras et al. · 2021 [cited by applicant]
US 20210338337A1 · Calloway et al. · 2021 [cited by applicant]
US 20210346115A1 · Dulin et al. · 2021 [cited by applicant]
US 20210361358A1 · May et al. · 2021 [cited by applicant]
US 20220007006A1 · Healy et al. · 2022 [cited by applicant]
US 20220008135A1 · Frielinghaus et al. · 2022 [cited by applicant]
US 20220012949A1 · Jones et al. · 2022 [cited by applicant]
US 20220020219A1 · Chav et al. · 2022 [cited by applicant]
US 20220039881A1 · Avisar et al. · 2022 [cited by applicant]
US 20220051483A1 · Nevins et al. · 2022 [cited by applicant]
US 20220051484A1 · Jones et al. · 2022 [cited by applicant]
US 20220071729A1 · Healy et al. · 2022 [cited by applicant]
US 20220079675A1 · Lang · 2022 [cited by applicant]
US 20220084298A1 · Jones et al. · 2022 [cited by applicant]
US 20220087749A1 · Marti et al. · 2022 [cited by applicant]
US 20220117669A1 · Nikou et al. · 2022 [cited by applicant]
US 20220125519A1 · Slagmolen et al. · 2022 [cited by applicant]
US 20220151704A1 · Nikou · 2022 [cited by applicant]
US 20220151705A1 · Nikou et al. · 2022 [cited by applicant]
US 20220155854A1 · Gibby et al. · 2022 [cited by applicant]
US 20220160439A1 · Ryan et al. · 2022 [cited by applicant]
US 20220168051A1 · Ryan et al. · 2022 [cited by applicant]
US 20220202493A1 · Gibby et al. · 2022 [cited by applicant]
US 20220218420A1 · Qian et al. · 2022 [cited by applicant]
US 20220226045A1 · Amanatullah et al. · 2022 [cited by applicant]
US 20220241018A1 · Dorman · 2022 [cited by applicant]
US 20220249171A1 · Lang · 2022 [cited by applicant]
US 20220265355A1 · Ferrante et al. · 2022 [cited by applicant]
US 20220273450A1 · Steines et al. · 2022 [cited by applicant]
US 20220280249A1 · Calloway et al. · 2022 [cited by applicant]
US 20220287676A1 · Steines et al. · 2022 [cited by applicant]
US 20220291741A1 · Gibby et al. · 2022 [cited by applicant]
US 20220313386A1 · Healy et al. · 2022 [cited by applicant]
US 20220346970A1 · Nikou · 2022 [cited by applicant]
US 20220361955A1 · Signoretti et al. · 2022 [cited by applicant]
US 20230000556A1 · McKinnon et al. · 2023 [cited by applicant]
US 20230000570A1 · Marti et al. · 2023 [cited by applicant]
US 20230018541A1 · Tanzer et al. · 2023 [cited by applicant]
US 20230038678A1 · Lang · 2023 [cited by applicant]
US 20230056596A1 · Farley et al. · 2023 [cited by applicant]
US 20230074630A1 · Knopf · 2023 [cited by applicant]
US 20230079807A1 · Metcalfe et al. · 2023 [cited by applicant]
US 20230085387A1 · Jones et al. · 2023 [cited by applicant]
US 20230113383A1 · Gonzalez et al. · 2023 [cited by applicant]
US 20230118746A1 · Hettich et al. · 2023 [cited by applicant]
US 20230131515A1 · Oezbek et al. · 2023 [cited by applicant]
US 20230149099A1 · Murphy · 2023 [cited by applicant]
US 20230165639A1 · Dulin et al. · 2023 [cited by applicant]
US 20230165640A1 · Dulin et al. · 2023 [cited by applicant]
US 20230200917A1 · Calloway et al. · 2023 [cited by applicant]
US 20230233257A1 · Young et al. · 2023 [cited by applicant]
US 20230233258A1 · Young et al. · 2023 [cited by applicant]
US 20230233259A1 · Young et al. · 2023 [cited by applicant]
US 20230274517A1 · Navab et al. · 2023 [cited by applicant]
US 20230293237A1 · Samaha et al. · 2023 [cited by applicant]
US 20230293238A1 · Cardinale et al. · 2023 [cited by applicant]
US 20230293259A1 · Lomeli · 2023 [cited by applicant]
US 20230301723A1 · Johnson et al. · 2023 [cited by applicant]
US 20230355311A1 · Barrera · 2023 [cited by applicant]
US 20230404678A1 · Denissen et al. · 2023 [cited by applicant]
CA 3203261A1 · 2022 [cited by applicant]
EP 3245974A1 · 2017 [cited by applicant]
EP 3318213A1 · 2018 [cited by applicant]
EP 3125759B1 · 2021 [cited by applicant]
EP 3861956A1 · 2021 [cited by applicant]
EP 3996622A2 · 2022 [cited by applicant]
JP 2007528243A · 2007 [cited by applicant]
JP 2012524577A · 2012 [cited by applicant]
JP 2013523415A · 2013 [cited by applicant]
JP 2017510310A · 2017 [cited by applicant]
JP 2018108344A · 2018 [cited by applicant]
WO 2005084544A1 · 2005 [cited by applicant]
WO 2012112694A2 · 2012 [cited by applicant]
WO 2017200785A1 · 2017 [cited by applicant]
WO 2018132804A1 · 2018 [cited by applicant]
WO 2019148154A1 · 2019 [cited by applicant]
WO 2019245849A1 · 2019 [cited by applicant]
WO 2021007418A2 · 2021 [cited by applicant]
WO 2021163039A1 · 2021 [cited by applicant]
WO 2022147591A1 · 2022 [cited by applicant]
WO 2023281477A1 · 2023 [cited by applicant]
WO 2023039032A1 · 2023 [cited by applicant]
WO 2023086592A2 · 2023 [cited by applicant]
WO 2023110124A1 · 2023 [cited by applicant]
Response to Office Action dated Jan. 10, 2023 from counterpart Japanese Application No. 2021-567858 filed Mar. 29, 2023, 11 pp. [cited by applicant]
Traub et al., “Advanced Display and Visualization Concepts for Image Guided Surgery,” Journal of Display Technology, vol. 4, No. 4, Dec. 2008, 8 pp. [cited by applicant]
International Preliminary Report on Patentability from International Application No. PCT/US2020/031111, dated Nov. 25, 2021, 9 pp. [cited by applicant]
Communication pursuant to Article 94(3) EPC from counterpart European Application No. 20729283.0 dated Apr. 4, 2024, 4 pp. [cited by applicant]
Office Action from U.S. Appl. No. 17/608,951 dated Feb. 15, 2024, 15 pp. [cited by applicant]
Notice of Intent to Grant from counterpart Australian Application No. 2020273972 dated Apr. 11, 2023, 6 pp. [cited by applicant]
Response to First Examination Report dated Jul. 12, 2022, from counterpart Australian Application No. 2020273972 filed Oct. 7, 2022, 181 pp. [cited by applicant]
Examination Report No. 2 from counterpart Australian Application No. 2020273972 dated Oct. 27, 2022, 4 pp. [cited by applicant]
First Examination Report from counterpart Australian Application No. 2020273972 dated Jul. 12, 2022, 3 pp. [cited by applicant]
Notice of Intent to Grant, and Translation Thereof, from Counterpart Japanese Application No. 2021-567858 dated Jun. 27, 2023, 5 pp. [cited by applicant]
Office Action, and Translation Thereof, from counterpart Japanese Application No. 2021-567858 dated Jan. 10, 2023, 6 pp. [cited by applicant]
Response to Examination Report No. 2 dated Oct. 27, 2022, from counterpart Australian Application No. 2020273972, filed Feb. 27, 2023, 10 pp. [cited by applicant]
Franz et al., “Electromagnetic Tracking in Medicine—A Review of Technology, Validation, and Applications,” IEEE Transactions on Medical Imaging, vol. 33, No. 8, Aug. 2014, pp. 1702-1725. [cited by applicant]
Tan et al., “6D Object Pose Estimation with Depth Images: A Seamless Approach for Robotic Interaction and Augmented Reality,” Sep. 5, 2017, 4 pp. [cited by applicant]
International Search Report and Written Opinion from International Application No. PCT/US2020/031111, mailed Aug. 19, 2020, 14 pp. [cited by applicant]
Response to Communication Pursuant to Rules 161(1) and 162 EPC dated Dec. 21, 2021, from counterpart European Application No. 20729283.0, filed Jun. 20, 2022, 15 pp. [cited by applicant]
Response to Communication pursuant to Article 94(3) EPC dated Apr. 4, 2024, from counterpart European Application No. 20729283.0 filed Sep. 19, 2024, 11 pp. [cited by applicant]