Thomas Pheiffer,Shun Miao,Rui Liao,Pavlo Dyban,Michael Suehling,Tommaso Mansi
申请号：
US16028787
公开号：
US10699410B2
申请日:
2018.07.06
申请国别(地区):
US
年份:
2020
代理人:
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.
