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EP About this file: EP4075379

EP4075379 - SYSTEM AND METHOD FOR HEART STRAIN DETERMINATION [Right-click to bookmark this link]
StatusRequest for examination was made
Status updated on  16.09.2022
Database last updated on 31.08.2024
Most recent event   Tooltip19.04.2024New entry: Renewal fee paid 
Applicant(s)For all designated states
Siemens Healthineers AG
Siemensstraße 3
91301 Forchheim / DE
[2024/07]
Former [2022/42]For all designated states
Siemens Healthcare GmbH
Henkestraße 127
91052 Erlangen / DE
Inventor(s)01 / Mihalef, Viorel
North Brunswick, NJ New Jersey 08902 / US
02 / Passerini, Tiziano
Plainsboro, NJ New Jersey 08536 / US
03 / Sharma, Puneet
Princeton Junction, NJ New Jersey 08550 / US
 [2022/42]
Representative(s)Beckord & Niedlich Patentanwälte PartG mbB
Marktplatz 17
83607 Holzkirchen / DE
[2022/42]
Application number, filing date21167928.712.04.2021
[2022/42]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report 
No.:EP4075379
Date:19.10.2022
Language:EN
[2022/42]
Search report(s)(Supplementary) European search report - dispatched on:EP01.10.2021
ClassificationIPC:G06T7/00, G06T17/00, G16H50/50, G06T7/579
[2022/42]
CPC:
G06T7/0012 (EP,US); G16H50/30 (US); G06T17/00 (EP);
G06T17/20 (US); G06T7/579 (EP); G06T7/70 (US);
G16H50/50 (EP); G06T2207/10072 (EP,US); G06T2207/10132 (EP);
G06T2207/20081 (EP); G06T2207/20084 (EP,US); G06T2207/30048 (EP,US);
G16H50/20 (EP) (-)
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 [2022/42]
Extension statesBANot yet paid
MENot yet paid
Validation statesKHNot yet paid
MANot yet paid
MDNot yet paid
TNNot yet paid
TitleGerman:SYSTEM UND VERFAHREN ZUR HERZDEHNUNGSBESTIMMUNG[2022/42]
English:SYSTEM AND METHOD FOR HEART STRAIN DETERMINATION[2022/42]
French:SYSTÈME ET PROCÉDÉ DE DÉTERMINATION DE DÉFORMATION CARDIAQUE[2022/42]
Examination procedure31.03.2022Amendment by applicant (claims and/or description)
31.03.2022Examination requested  [2022/42]
31.03.2022Date on which the examining division has become responsible
Fees paidRenewal fee
19.04.2023Renewal fee patent year 03
18.04.2024Renewal fee patent year 04
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Documents cited:Search[IA]  - NASIRAEI MOGHADDAM ABBAS ET AL, "Analytical method to measure three-dimensional strain patterns in the left ventricle from single slice displacement data", JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE, BIOMED CENTRAL LTD, LONDON UK, (201006), vol. 12, no. 1, doi:10.1186/1532-429X-12-33, ISSN 1532-429X, page 33, XP021079037 [I] 1,2,4-15 * abstract, pages 1-17, Figs. 1-7 * [A] 3

DOI:   http://dx.doi.org/10.1186/1532-429X-12-33
 [A]  - VOIGT JENS-UWE ET AL, "2- and 3-Dimensional Myocardial Strain in Cardiac Health and Disease", JACC: CARDIOVASCULAR IMAGING, ELSEVIER, AMSTERDAM, NL, vol. 12, no. 9, doi:10.1016/J.JCMG.2019.01.044, ISSN 1936-878X, (201909), pages 1849 - 1863, (20190902), XP085795623 [A] 1-15 * abstract, pages 1849-1861, Figs. 1-5 *

DOI:   http://dx.doi.org/10.1016/j.jcmg.2019.01.044
 [A]  - EDWARD FERDIAN ET AL, "Fully Automated Myocardial Strain Estimation from CMR Tagged Images using a Deep Learning Framework in the UK Biobank", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20200415), doi:10.1148/RYCT.2020190032, XP081644840 [A] 1-15 * abstract, pages 3-18, Figs. 1-6 *

DOI:   http://dx.doi.org/10.1148/ryct.2020190032
 [A]  - DAVIS M VIGNEAULT ET AL, "Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, (20170412), doi:10.1007/978-3-319-59448-4_18, XP080762505 [A] 1-15 * abstract, sections 1-5, Figs. 1-3, Table 3 *

DOI:   http://dx.doi.org/10.1007/978-3-319-59448-4_18
by applicant   - NGUYEN, J. et al., "Comparison of 2D and 3D strain using cardiovascular magnetic resonance feature tracking", Journal of the American College of Cardiology, (20180000), vol. 71, page A1603
    - N. PARK et al., "GauGAN: semantic image synthesis with spatially adaptive normalization", ACM SIGGRAPH 2019 Real-Time Live!, (20190000), doi:10.1145/3306305.3332370, pages 1 - 1, XP058453231

DOI:   http://dx.doi.org/10.1145/3306305.3332370
    - CHU, M. et al., "Temporally coherent gans for video super-resolution (tecogan", arXiv:1811.09393, (20180000), vol. 1, no. 2, page 3
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