Yu Zhao,Yimo Gao,Shu Liao,Liang Zhao,Zhennan Yan,Yiqiang Zhan,Xiang Sean Zhou
申请号：
US16258751
公开号：
US10803354B2
申请日:
2019.01.28
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A framework for cross-modality image synthesis. A first and second model may be trained using respective first and second pairs of complementary images and corresponding first and second ground truth images that represent first and second views of a region of interest. The first and second pairs of complementary images may be acquired by a first modality and the first and second ground truth images may be acquired by a second modality. A combinational network may further be trained to combine features from the first and second models. At least one synthetic second modality image may then be generated by passing current images through the trained first or second model and the combinational network, wherein the current images are acquired by the first modality and represent the first or second view of the region of interest.
