您的位置: 首页 > 农业专利 > 详情页

SYSTEM AND METHOD FOR UNSUPERVISED DEEP LEARNING FOR DEFORMABLE IMAGE REGISTRATION
专利权人:
General Electric Company
发明人:
Bo Wang,Thomas Kwok-Fah Foo,Desmond Teck Beng Yeo,Jhimli Mitra
申请号:
US16184690
公开号:
US20200146635A1
申请日:
2018.11.08
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A method is provided. The method includes acquiring simultaneously multiple magnetic resonance (MR) images and multiple ultrasound images of an anatomical region of a subject over a scanned duration. The method also includes training an unsupervised deep learning-based deformable registration network. This training includes training a MR registration subnetwork based on the multiple MR images to generate MR deformation and transformation vectors, training an ultrasound registration subnetwork based on the multiple ultrasound images to generate ultrasound deformation and transformation vectors, and training a MR-to-ultrasound subnetwork based the multiple MR images and the multiple ultrasound images to generate MR-to-ultrasound deformation and transformation vectors between corresponding pairs of MR images and ultrasound images at each time point.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充