Deep learning-based digital subtraction angiography image generation.

Yufeng GaoYu SongXiangrui YinWeiwen WuLu ZhangYang ChenWanyin Shi

Published in: International journal of computer assisted radiology and surgery (2019)

The experiment results show the model can extract the vessels from the single live image, thus avoiding the image artifacts obtained by subtracting the live image and the mask image. And our method has a better performance than other methods we have tried on this task.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
computed tomography
magnetic resonance imaging
oxidative stress