公开(公告)号：EP3571671A1

公开(公告)日：2019-11-27

申请号：EP18707307.7

申请日：2018-02-16

申请人： Siemens Healthcare GmbH

发明人： ENGEL, Thomas ,  MEWES, Philip ,  MOUNTNEY, Peter ,  PHEIFFER, Thomas

IPC分类号： G06T15/50 ,  G06T15/60 ,  G06T19/00 ,  A61B1/00 ,  A61B34/20

公开(公告)号：EP3444777B1

公开(公告)日：2020-07-22

申请号：EP18189306.6

申请日：2018-08-16

申请人： Siemens Healthcare GmbH

发明人： PHEIFFER, Thomas ,  MIAO, Shun ,  LIAO, Rui ,  DYBAN, Pavlo ,  SÜHLING, Michael ,  MANSI, Tommaso

IPC分类号： G06T7/00

公开(公告)号：EP3444777A1

公开(公告)日：2019-02-20

申请号：EP18189306.6

申请日：2018-08-16

申请人： Siemens Healthcare GmbH

发明人： PHEIFFER, Thomas ,  MIAO, Shun ,  LIAO, Rui ,  DYBAN, Pavlo ,  SÜHLING, Michael ,  MANSI, Tommaso

IPC分类号： G06T7/00

摘要： Systems and methods are provided for identifying pathological changes in follow up medical images. Reference image data is acquired. Follow up image data is acquired. A deformation field is generated for the reference image data and the follow up data using a machine-learned network trained to generate deformation fields describing healthy, anatomical deformation between input reference image data and input follow up image data. The reference image data and the follow up image data are aligned using the deformation field. The co-aligned reference image data and follow up image data are analyzed for changes due to pathological phenomena.