Anup Agarwal,Keith William Johnson,Liang Zhang,Earl M. Canfield
申请号：
US16639636
公开号：
US20200175652A1
申请日:
2018.08.02
申请国别(地区):
US
年份:
2020
代理人:
摘要：
An ultrasound system with a deep learning neural network feature is used to eliminate haze artifacts in B mode images of the carotid artery by analysis of orthogonal information. In a described implementation the orthogonal information comprises the structural information of a B mode image and motion information of the same field of view as that of the B mode image. In another embodiment the neural network reduces haze artifacts by reducing TGC gain at the depth of artifacts.
