blank Quick help
blank Maintenance news

Scheduled maintenance

Regular maintenance outages:
between 05.00 and 05.15 hrs CET (Monday to Sunday).

Other outages
Availability

2022.02.11

More...
blank News flashes

Italy joins the Federated Register

Click here for more information on the Federated Register.

2025-06-12

More...
blank Related links

Release notes
European Patent Register Assistant
European Patent Register User Manual
European Patent Register – pocket guide
FAQ - European Patent Register
Federated Register (Flyer)
Global Dossier (Flyer)
Register events
Deep link coverage
Federated Register content
The Patent Information Tour
Fair use charter

Extract from the Register of European Patents

EP About this file: EP2908290

EP2908290 - Method and system for automatic pelvis unfolding from 3D computed tomography images [Right-click to bookmark this link]
StatusNo opposition filed within time limit
Status updated on  14.08.2020
Database last updated on 11.04.2026
FormerThe patent has been granted
Status updated on  06.09.2019
FormerGrant of patent is intended
Status updated on  28.05.2019
FormerExamination is in progress
Status updated on  10.11.2017
Most recent event   Tooltip08.07.2022Lapse of the patent in a contracting state
New state(s): MK		published on 10.08.2022  [2022/32]
Applicant(s)For all designated states
Siemens Healthcare GmbH
Henkestraße 127
91052 Erlangen / DE
[2016/22]
Former [2015/34]For all designated states
Siemens Aktiengesellschaft
Wittelsbacherplatz 2
80333 München / DE
Inventor(s)01 / Birkbeck, Neil
139 Harbor Oaks Circle
Santa Cruz, California 95062 / US
02 / Wu, Dijia
21 Lincoln Place, Apt. D
North Brunswick, New Jersey 08902 / US
03 / Sofka, Michal
616 Green Hill Manor Dr.
Franklin Park, New Jersey 08823 / US
04 / Liu, Meizhu
111 West 40th St., 12th Floor
New York 10018 / US
05 / Soza, Grzegorz
Welserstr. 13
90562 Heroldsberg / DE
06 / Zhou, Shaohua Kevin
94 Marion Drive
Plainsboro, New Jersey 08536 / US
07 / Weiss, Clifford R.
110 Enfield Road
Baltimore, Maryland 21212 / US
08 / Kiraly, Atilla Peter
8806 Tamarron Drive
Plainsboro, New Jersey 08536 / US
 [2019/41]
Former [2015/34]01 / Birkbeck, Neil
139 Harbor Oaks Circle
Santa Cruz, CA California 95062 / US
02 / Wu, Dijia
21 Lincoln Place, Apt. D
North Brunswick, NJ New Jersey 08902 / US
03 / Sofka, Michal
616 Green Hill Manor Dr.
Franklin Park, NJ New Jersey 08823 / US
04 / Liu, Meizhu
111 West 40th St., 12th Floor
New York, NY New York 10018 / US
05 / Soza, Grzegorz
Welserstr. 13
90562 Heroldsberg / DE
06 / Zhou, Shaohua Kevin
94 Marion Drive
Plainsboro, NJ New Jersey 08536 / US
07 / Weiss, Clifford R.
110 Enfield Road
Baltimore, MD Maryland 21212 / US
08 / Kiraly, Atilla Peter
8806 Tamarron Drive
Plainsboro, NJ New Jersey 08536 / US
Representative(s)Isarpatent
Patent- und Rechtsanwälte Barth
Charles Hassa Peckmann & Partner mbB
Friedrichstrasse 31
80801 München / DE
[N/P]
Former [2019/41]Isarpatent
Patent- und Rechtsanwälte Behnisch Barth Charles
Hassa Peckmann & Partner mbB
Friedrichstrasse 31
80801 München / DE
Former [2015/34]Isarpatent
Patentanwälte Behnisch Barth Charles
Hassa Peckmann & Partner mbB
Friedrichstrasse 31
80801 München / DE
Application number, filing date15154875.712.02.2015
[2015/34]
Priority number, dateUS20141417858312.02.2014         Original published format: US201414178583
[2015/34]
Filing languageEN
Procedural languageEN
PublicationType: A2 Application without search report 
No.:EP2908290
Date:19.08.2015
Language:EN
[2015/34]
Type: A3 Search report 
No.:EP2908290
Date:30.12.2015
Language:EN
[2015/53]
Type: B1 Patent specification 
No.:EP2908290
Date:09.10.2019
Language:EN
[2019/41]
Search report(s)(Supplementary) European search report - dispatched on:EP30.11.2015
ClassificationIPC:G06T19/00, G06T7/00, // G06T3/00
[2016/01]
CPC:
G06T19/00 (EP,US); G06T7/0012 (US); G06T7/10 (EP,US);
G06T7/12 (EP,US); G06T2207/10081 (EP,US); G06T2207/20164 (US);
G06T2207/30008 (EP,US); G06T2210/41 (EP,US); G06T2219/021 (EP,US) (-)
Former IPC [2015/34]G06T19/00
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2016/32]
Former [2015/34]AL,  AT,  BE,  BG,  CH,  CY,  CZ,  DE,  DK,  EE,  ES,  FI,  FR,  GB,  GR,  HR,  HU,  IE,  IS,  IT,  LI,  LT,  LU,  LV,  MC,  MK,  MT,  NL,  NO,  PL,  PT,  RO,  RS,  SE,  SI,  SK,  SM,  TR 
TitleGerman:Verfahren und System zur automatischen Beckenentfaltung aus 3D-Computertomographiebildern[2015/34]
English:Method and system for automatic pelvis unfolding from 3D computed tomography images[2015/34]
French:Procédé et système de dépliage automatique de pelvis à partir d'images 3D de tomographie assistée par ordinateur[2015/34]
Examination procedure29.06.2016Amendment by applicant (claims and/or description)
29.06.2016Examination requested  [2016/32]
09.11.2017Despatch of a communication from the examining division (Time limit: M04)
14.03.2018Reply to a communication from the examining division
26.02.2019Despatch of a communication from the examining division (Time limit: M04)
02.05.2019Reply to a communication from the examining division
29.05.2019Communication of intention to grant the patent
02.09.2019Fee for grant paid
02.09.2019Fee for publishing/printing paid
02.09.2019Receipt of the translation of the claim(s)
Opposition(s)10.07.2020No opposition filed within time limit [2020/38]
Fees paidRenewal fee
20.02.2017Renewal fee patent year 03
19.02.2018Renewal fee patent year 04
18.02.2019Renewal fee patent year 05
Opt-out from the exclusive  Tooltip
competence of the Unified
Patent Court		 See the Register of the Unified Patent Court for opt-out data
Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court.
Lapses during opposition  TooltipHU12.02.2015
AL09.10.2019
AT09.10.2019
CY09.10.2019
CZ09.10.2019
DK09.10.2019
EE09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
IT09.10.2019
LT09.10.2019
LV09.10.2019
MC09.10.2019
MK09.10.2019
MT09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
SI09.10.2019
SK09.10.2019
SM09.10.2019
TR09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
IS09.02.2020
PT10.02.2020
IE12.02.2020
LU12.02.2020
BE29.02.2020
CH29.02.2020
LI29.02.2020
[2022/32]
Former [2022/27]HU12.02.2015
AL09.10.2019
AT09.10.2019
CY09.10.2019
CZ09.10.2019
DK09.10.2019
EE09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
IT09.10.2019
LT09.10.2019
LV09.10.2019
MC09.10.2019
MT09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
SI09.10.2019
SK09.10.2019
SM09.10.2019
TR09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
IS09.02.2020
PT10.02.2020
IE12.02.2020
LU12.02.2020
BE29.02.2020
CH29.02.2020
LI29.02.2020
Former [2021/12]AL09.10.2019
AT09.10.2019
CZ09.10.2019
DK09.10.2019
EE09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
IT09.10.2019
LT09.10.2019
LV09.10.2019
MC09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
SI09.10.2019
SK09.10.2019
SM09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
IS09.02.2020
PT10.02.2020
IE12.02.2020
LU12.02.2020
BE29.02.2020
CH29.02.2020
LI29.02.2020
Former [2021/08]AL09.10.2019
AT09.10.2019
CZ09.10.2019
DK09.10.2019
EE09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
IT09.10.2019
LT09.10.2019
LV09.10.2019
MC09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
SI09.10.2019
SK09.10.2019
SM09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
IS09.02.2020
PT10.02.2020
IE12.02.2020
LU12.02.2020
CH29.02.2020
LI29.02.2020
Former [2020/51]AL09.10.2019
AT09.10.2019
CZ09.10.2019
DK09.10.2019
EE09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
IT09.10.2019
LT09.10.2019
LV09.10.2019
MC09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
SI09.10.2019
SK09.10.2019
SM09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
IS09.02.2020
PT10.02.2020
LU12.02.2020
CH29.02.2020
LI29.02.2020
Former [2020/49]AL09.10.2019
AT09.10.2019
CZ09.10.2019
DK09.10.2019
EE09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
IT09.10.2019
LT09.10.2019
LV09.10.2019
MC09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
SK09.10.2019
SM09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
IS09.02.2020
PT10.02.2020
LU12.02.2020
Former [2020/48]AL09.10.2019
AT09.10.2019
CZ09.10.2019
DK09.10.2019
EE09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
IT09.10.2019
LT09.10.2019
LV09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
SK09.10.2019
SM09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
IS09.02.2020
PT10.02.2020
LU12.02.2020
Former [2020/38]AL09.10.2019
AT09.10.2019
CZ09.10.2019
DK09.10.2019
EE09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
IT09.10.2019
LT09.10.2019
LV09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
SK09.10.2019
SM09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
IS09.02.2020
PT10.02.2020
Former [2020/37]AL09.10.2019
AT09.10.2019
CZ09.10.2019
DK09.10.2019
EE09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
LT09.10.2019
LV09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
SK09.10.2019
SM09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
IS09.02.2020
PT10.02.2020
Former [2020/36]AL09.10.2019
AT09.10.2019
CZ09.10.2019
DK09.10.2019
EE09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
LT09.10.2019
LV09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
IS09.02.2020
PT10.02.2020
Former [2020/35]AL09.10.2019
AT09.10.2019
CZ09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
LT09.10.2019
LV09.10.2019
NL09.10.2019
PL09.10.2019
RO09.10.2019
RS09.10.2019
SE09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
PT10.02.2020
IS24.02.2020
Former [2020/32]AL09.10.2019
AT09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
LT09.10.2019
LV09.10.2019
NL09.10.2019
PL09.10.2019
RS09.10.2019
SE09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
PT10.02.2020
IS24.02.2020
Former [2020/25]AT09.10.2019
ES09.10.2019
FI09.10.2019
HR09.10.2019
LT09.10.2019
LV09.10.2019
NL09.10.2019
PL09.10.2019
RS09.10.2019
SE09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
PT10.02.2020
IS24.02.2020
Former [2020/24]AT09.10.2019
ES09.10.2019
FI09.10.2019
LT09.10.2019
LV09.10.2019
NL09.10.2019
PL09.10.2019
SE09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
PT10.02.2020
IS24.02.2020
Former [2020/23]AT09.10.2019
ES09.10.2019
FI09.10.2019
LT09.10.2019
LV09.10.2019
NL09.10.2019
PL09.10.2019
SE09.10.2019
BG09.01.2020
NO09.01.2020
GR10.01.2020
PT10.02.2020
Former [2020/22]FI09.10.2019
LT09.10.2019
NL09.10.2019
SE09.10.2019
BG09.01.2020
NO09.01.2020
PT10.02.2020
Former [2020/21]NL09.10.2019
NO09.01.2020
Former [2020/20]NL09.10.2019
Documents cited:Search[XI] US2013114785  (ALZEN GERHARD et al.)
 [XI] US2013216110  (ZHENG YEFENG et al.) [X] 1-3,9-11,14,15 * figures 1-3 * * paragraph [0027] - paragraph [0029] * * paragraph [0033] * * paragraph [0036] - paragraph [0045] *[I] 4-8,12,13
 [I] US2010128953  (OSTROVSKY-BERMAN YARON et al.)
 [I] US2012141008  (RINGL HELMUT et al.) [I] 1,3-7,9,10,12,14,15 * paragraph [0004] - paragraph [0005] * * paragraph [0010] - paragraph [0025] * * paragraph [0042] - paragraph [0059] * * paragraphs [0066] , [0076] , [0080] * * paragraph [0094] - paragraph [0105] *
 [A] US7916919  (ZHENG YEFENG et al.)
 [I]   WOLF I ET AL: "Curved reformations using the medical imaging interaction toolkit (MITK)", PROCEEDINGS OF SPIE, SPIE, US, vol. 5744, 1 January 2005 (2005-01-01), pages 831 - 838, XP008140718, ISSN: 0277-786X, DOI: 10.1117/12.595949

DOI:   http://dx.doi.org/doi:10.1117/12.595949
 [I]   HEIKO SEIM ET AL: "Automatic Segmentation of the Pelvic Bones from CT Data Based on a Statistical Shape Model", VCBM 08: EUROGRAPHICS WORKSHOP ON VISUAL COMPUTING FOR BIOMEDICINE PROCEEDINGS, 6 October 2008 (2008-10-06), pages 93 - 100, XP055226404, DOI: 10.2312/VCBM/VCBM08/093-100 [I] 1-15 * Section 1 "Introduction"; page 831, paragraph 2 * * Section 1 "Introduction"; page 832, paragraph 3 * * Section 2.1 "Concepts of the MEdical Imaging Interaction Toolkit"; page 833, paragraphs 2,3,4,5 * * Section 2.2 "Constructing a plane-based curved reformation"; page 834 - page 835 * * figures 3,4,6 *

DOI:   http://dx.doi.org/10.2312/VCBM/VCBM08/093-100
 [I]   DIJIA WU ET AL: "A learning based deformable template matching method for automatic rib centerline extraction and labeling in CT images", COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2012 IEEE CONFERENCE ON, IEEE, 16 June 2012 (2012-06-16), pages 980 - 987, XP032232173, ISBN: 978-1-4673-1226-4, DOI: 10.1109/CVPR.2012.6247774 [I] 1,3-7,9,10,14,15 * Section 1.2 "Related work"; page 93, column r - page 94, column l * * Section 2 " Image Data"; page 94, column r * * Section 3 "3D Statistical Shape Model of the Pelvic Bones"; page 94, column r - page 95, column l * * Sections 4.2 "Adaptation of the Statistical Shape Model" and 4.3 "Free-Form Segmentation"; page 95, column r - page 96, column r * * figures 1,4,7; table 1 *

DOI:   http://dx.doi.org/10.1109/CVPR.2012.6247774
 [A]   GILLES B ET AL: "Musculoskeletal MRI segmentation using multi-resolution simplex meshes with medial representations", MEDICAL IMAGE ANALYSIS, OXFORD UNIVERSITY PRESS, OXOFRD, GB, vol. 14, no. 3, 1 June 2010 (2010-06-01), pages 291 - 302, XP026997598, ISSN: 1361-8415, [retrieved on 20100301]
 [A]   GRADY: "Random Walks for Image Segmentation", IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, IEEE COMPUTER SOCIETY, USA, vol. 27, no. 11, 1 November 2006 (2006-11-01), pages 1768 - 1783, XP011149294, ISSN: 0162-8828, DOI: 10.1109/TPAMI.2006.233 [A] 3-7,12 * the whole document *

DOI:   http://dx.doi.org/10.1109/TPAMI.2006.233
by applicantUS7916919
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.