THE BOARD OF TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY
发明人:
ZAHARCHUK, GREG,GONG, ENHAO,PAULY, JOHN M.
申请号：
CA3078728
公开号：
CA3078728A1
申请日:
2018.10.09
申请国别(地区):
CA
年份:
2019
代理人:
摘要：
A method for diagnostic imaging with reduced contrast agent dose uses a deep learning network (DLN) [114] that has been trained using zero-contrast [100] and low-contrast [102] images as input to the DLN and full-contrast images [104] as reference ground truth images. Prior to training, the images are pre-processed [106, 110, 118] to co-register and normalize them. The trained DLN [114] is then used to predict a synthesized full-dose contrast agent image [116] from acquired zero-dose and low-dose images.
