Deep Learning-Based Intraoperative Stent Graft Segmentation on Completion Digital Subtraction Angiography During Endovascular Aneurysm Repair.

Kaj O KappeStefan P M SmorenburgArjan W J HoksbergenJelmer M WolterinkKak Khee Yeung

Published in: Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists (2022)

We developed a fully automatic stent graft segmentation method based on the completion digital subtraction angiography during EVAR, utilizing a deep learning network. This can provide the platform for the development of intraoperative analytical applications in the endovascular hybrid operating room such as stent graft deployment accuracy, endoleak visualization, and image fusion correction.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
optical coherence tomography
computed tomography
machine learning
patients undergoing
high throughput
aortic dissection
magnetic resonance imaging
magnetic resonance
dual energy
liquid chromatography