您的位置: 首页 > 农业专利 > 详情页

Systems and Methods For Analyzing Perfusion-Weighted Medical Imaging Using Deep Neural Networks
专利权人:
发明人:
Corey Arnold,King Chung Ho,Fabien Scalzo
申请号:
US16062159
公开号:
US20180374213A1
申请日:
2016.12.15
申请国别(地区):
US
年份:
2018
代理人:
摘要:
Systems and methods for analyzing perfusion-weighted medical imaging using deep neural networks are provided. In some aspects, a method includes receiving perfusion-weighted imaging data acquired from a subject using a magnetic resonance (“MR”) imaging system and modeling at least one voxel associated with the perfusion-weighted imaging data using a four-dimensional (“4D”) convolutional neural network. The method also includes extracting spatio-temporal features for each modeled voxel and estimating at least one perfusion parameter for each modeled voxel based on the extracted spatio-temporal features. The method further includes generating a report using the at least one perfusion parameter indicating perfusion in the subject.
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