EP 3965684 A1 20220316 - METHOD FOR PLANNING TISSUE ABLATION BASED ON DEEP LEARNING
Title (en)
METHOD FOR PLANNING TISSUE ABLATION BASED ON DEEP LEARNING
Title (de)
VERFAHREN ZUR PLANUNG VON GEWEBEABLATION BASIEREND AUF TIEFENLERNEN
Title (fr)
MÉTHODE DE PLANIFICATION D'UNE ABLATION DE TISSUS BASÉE SUR L'APPRENTISSAGE PROFOND
Publication
Application
Priority
- FR 1907000 A 20190627
- EP 2020067777 W 20200625
Abstract (en)
[origin: CA3138208A1] The invention relates to a method (100) and device for planning a surgical procedure aiming to ablate a tissue (32) in an anatomical area of interest (31) of a patient (30). On the basis of a preoperative image (50) of the anatomical area of interest and of a set of planning parameters (P), a simulated image (51) is generated by a neural network that has been previously trained using learning elements corresponding, respectively, to a similar surgical procedure for ablating a tissue in an anatomical area of interest for another patient. Each learning element comprises a preoperative image (50) of the anatomical area of interest of a patient, planning parameters (P) used for the surgical procedure on this patient, and a postoperative image (52) of the anatomical area of interest of this patient after the surgical procedure. An estimated ablation region (34) may be segmented in the simulated image (51) in order to be compared with a segmented region to be treated (33) in the preoperative image (50).
IPC 8 full level
A61B 34/10 (2016.01); A61B 18/04 (2006.01); A61N 5/10 (2006.01); G16H 50/00 (2018.01)
CPC (source: CN EP IL KR US)
A61B 18/00 (2013.01 - KR); A61B 18/02 (2013.01 - IL US); A61B 18/04 (2013.01 - IL US); A61B 18/1815 (2013.01 - IL US); A61B 18/20 (2013.01 - IL US); A61B 34/10 (2016.02 - CN EP IL KR US); A61B 34/20 (2016.02 - CN); G06N 3/045 (2023.01 - EP IL KR US); G06N 3/08 (2013.01 - EP IL KR US); G16H 20/40 (2018.01 - EP IL KR US); G16H 30/40 (2018.01 - EP IL KR US); G16H 50/50 (2018.01 - EP IL KR US); G16H 50/70 (2018.01 - EP IL KR US); A61B 18/02 (2013.01 - EP); A61B 18/04 (2013.01 - EP); A61B 18/1815 (2013.01 - EP); A61B 18/20 (2013.01 - EP); A61B 2018/00577 (2013.01 - EP IL KR US); A61B 2034/104 (2016.02 - EP IL KR US); A61B 2034/105 (2016.02 - EP IL KR US); A61B 2034/107 (2016.02 - CN EP IL KR US); A61B 2034/108 (2016.02 - CN US); A61B 2034/2051 (2016.02 - CN); A61B 2034/2063 (2016.02 - CN); A61B 2034/2065 (2016.02 - CN)
Designated contracting state (EPC)
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
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
FR 3095332 A1 20201030; FR 3095332 B1 20230721; CA 3138208 A1 20201230; CN 114007538 A 20220201; CN 114007538 B 20240329; EP 3965684 A1 20220316; IL 289162 A 20220201; JP 2022537875 A 20220831; JP 7455862 B2 20240326; KR 20220026534 A 20220304; US 2022233242 A1 20220728; WO 2020260433 A1 20201230
DOCDB simple family (application)
FR 1907000 A 20190627; CA 3138208 A 20200625; CN 202080043589 A 20200625; EP 2020067777 W 20200625; EP 20733842 A 20200625; IL 28916221 A 20211220; JP 2021564245 A 20200625; KR 20217041779 A 20200625; US 202017597042 A 20200625