公开(公告)号：US12127794B2

公开(公告)日：2024-10-29

申请号：US17597042

申请日：2020-06-25

申请人： Quantum Surgical

发明人： Estanislao Oubel ,  Lucien Blondel ,  Fernand Badano ,  Bertin Nahum

IPC分类号： A61B18/00 ,  A61B18/02 ,  A61B18/04 ,  A61B18/18 ,  A61B18/20 ,  A61B34/10 ,  G06N3/045 ,  G06N3/08 ,  G16H20/40 ,  G16H30/40 ,  G16H50/50 ,  G16H50/70

CPC分类号： A61B34/10 ,  A61B18/02 ,  A61B18/04 ,  A61B18/1815 ,  A61B18/20 ,  G06N3/045 ,  G06N3/08 ,  G16H20/40 ,  G16H30/40 ,  G16H50/50 ,  G16H50/70 ,  A61B2018/00577 ,  A61B2034/104 ,  A61B2034/105 ,  A61B2034/107 ,  A61B2034/108

摘要： The invention relates to a method and device for planning a surgical procedure aiming to ablate a tissue in an anatomical area of interest of a patient. On the basis of a preoperative image of the anatomical area of interest and of a set of planning parameters (P), a simulated image 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 of the anatomical area of interest of a patient, planning parameters (P) used for the surgical procedure on this patient, and a postoperative image of the anatomical area of interest of this patient after the surgical procedure. An estimated ablation region may be segmented in the simulated image in order to be compared with a segmented region to be treated in the preoperative image.