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Extract from the Register of European Patents

EP About this file: EP4070236

EP4070236 - MEDICAL IMAGE SYNTHESIS FOR MOTION CORRECTION USING GENERATIVE ADVERSARIAL NETWORKS [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  09.09.2022
Database last updated on 03.09.2024
FormerThe international publication has been made
Status updated on  11.06.2021
Most recent event   Tooltip04.07.2024The date on which the examining division becomes responsible, has been established 
04.07.2024Amendment by applicant 
Applicant(s)For all designated states
University of Utah Research Foundation
615 Arapeen Drive, Suite 310
Salt Lake City, UT 84106 / US
[2022/41]
Inventor(s)01 / CRABB, Brendan Thomas
110 South 800 East, Apt. 306
Salt Lake City, Utah 84102 / US
02 / NOO, Frederic Nicolas Firmin
7731 South Unionwood Dr.
Midvale, Utah 84047 / US
03 / FINE, Gabriel Chaim
2120 South Highland Drive Apt 511
Salt Lake City, Utah 84106 / US
 [2022/41]
Representative(s)Hepworth Browne
15 St. Pauls Street
Leeds LS1 2JG / GB
[2022/41]
Application number, filing date20897055.801.12.2020
[2022/41]
WO2020US62699
Priority number, dateUS201962942675P02.12.2019         Original published format: US 201962942675 P
US202063085491P30.09.2020         Original published format: US 202063085491 P
[2022/41]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2021113235
Date:10.06.2021
Language:EN
[2021/23]
Type: A1 Application with search report 
No.:EP4070236
Date:12.10.2022
Language:EN
The application published by WIPO in one of the EPO official languages on 10.06.2021 takes the place of the publication of the European patent application.
[2022/41]
Search report(s)International search report - published on:US10.06.2021
(Supplementary) European search report - dispatched on:EP14.12.2023
ClassificationIPC:G06T5/00, A61B6/00
[2024/03]
CPC:
A61B6/5264 (EP,US); A61B6/504 (EP); A61B8/5276 (EP);
G06F18/214 (EP); G06F18/24133 (EP); G06T5/60 (EP);
G06T5/73 (EP); G06V10/32 (EP,US); G06V10/454 (EP,US);
G06V10/82 (EP,US); G06T2207/20081 (EP); G06T2207/20084 (EP);
G06T2207/20201 (EP); G06T2207/20224 (EP); G06T2207/30101 (EP);
G06V2201/03 (US); G06V2201/031 (EP) (-)
Former IPC [2022/41]G06K9/00, A61B6/00
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 [2022/41]
TitleGerman:MEDIZINISCHE BILDSYNTHESE ZUR BEWEGUNGSKORREKTUR UNTER VERWENDUNG GENERATIVER KONTRADIKTORISCHER NETZE[2022/41]
English:MEDICAL IMAGE SYNTHESIS FOR MOTION CORRECTION USING GENERATIVE ADVERSARIAL NETWORKS[2022/41]
French:SYNTHÈSE D'IMAGE MÉDICALE POUR CORRECTION DE MOUVEMENT AU MOYEN DE RÉSEAUX ANTAGONISTES GÉNÉRATIFS[2022/41]
Entry into regional phase27.05.2022National basic fee paid 
27.05.2022Search fee paid 
27.05.2022Designation fee(s) paid 
27.05.2022Examination fee paid 
Examination procedure27.05.2022Examination requested  [2022/41]
03.07.2024Amendment by applicant (claims and/or description)
03.07.2024Date on which the examining division has become responsible
Fees paidRenewal fee
27.09.2022Renewal fee patent year 03
27.12.2023Renewal fee patent year 04
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.
Documents cited:Search[X]  - GAO YUFENG ET AL, "Deep learning-based digital subtraction angiography image generation", INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, SPRINGER, DE, vol. 14, no. 10, doi:10.1007/S11548-019-02040-X, ISSN 1861-6410, (20190731), pages 1775 - 1784, (20190731), XP036908866 [X] 1,6,8,12,14 * abstract * * page 1775, column r, line 1 - page 1777, column l, line 18 * * page 1777, column l, line 27 - page 1777, column r, line 12 * * page 1779, column l, line 1 - page 1780, column l, line 17 * * page 1783, column l, lines 1-5 * * figures 1,3,4,7-9 *

DOI:   http://dx.doi.org/10.1007/s11548-019-02040-x
 [A]  - Olaf Ronneberger ET AL, "U-Net: Convolutional Networks for Biomedical Image Segmentation", Advances in Databases and Information Systems, Cham, Springer International Publishing, (20150101), vol. 9351, pages 234 - 241, 032682, doi:10.1007/978-3-319-24574-4_28, ISBN 978-3-319-10403-4, XP055552088 [A] 1-15 * the whole document *

DOI:   http://dx.doi.org/10.1007/978-3-319-24574-4_28
 [A]  - SALOME KAZEMINIA ET AL, "GANs for Medical Image Analysis", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20180913), XP081083902 [A] 1-15 * the whole document *
 [A]  - YONGJUN HONG ET AL, "How Generative Adversarial Networks and Their Variants Work: An Overview of GAN", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20171116), XP081327692 [A] 1-15 * the whole document *
International search[Y]US2007036431  (TERAKAWA KENSUKE [JP]) [Y] 5-6, 8-9, 12, 18 * ; para [0098]. *;
 [Y]US2019147588  (ROWLEY GRANT KATHARINE LYNN [US], et al) [Y] 1-20 * ; para [0035]. *;
 [Y]WO2019147767  (RENSSELAER POLYTECH INST [US]) [Y] 15-16* ; page 5, lines 11-15. *;
 [Y]US2019333219  (XU JIAOFENG [US], et al) [Y] 1-20 * ; paras [0036]-[0038], [0053], [0084]. *;
 [Y]  - Zhang, X. ; Zhang, F. ; Li, R., "DSA image registration based on 3D space-time detection", Procedia Engineering, Elsevier BV, NL, NL, (20100101), vol. 7, ISSN 1877-7058, pages 426 - 431, XP027555366 [Y] 1-20 * >entire document, especially pgs 18-19. *
 [Y]  - Berglöf Olle, Jacobs Adam, "Effects of Transfer Learning on Data Augmentation with Generative Adversarial Networks", DEGREE PROJECT IN TECHNOLOGY, KTH, Skolan för elektroteknik och datavetenskap (EECS), (20190101), DEGREE PROJECT IN TECHNOLOGY, URL: https://www.diva-portal.org/smash/get/diva2:1351530/FULLTEXT01.pdf, XP055833956 [Y] 4 * >entire document, especially pgs 426-427. *
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.