Open AccessDeep Learning–Based Intraoperative Stent Graft Segmentation on Completion Digital Subtraction Angiography During Endovascular Aneurysm Repair
Author(s) -
Kaj Olav Kappe,
Stefan P.M. Smorenburg,
Arjan W.J. Hoksbergen,
Jelmer M. Wolterink,
Kak Khee Yeung
Publication year - 2022
Publication title -
journal of endovascular therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.72
H-Index - 100
eISSN - 1545-1550
pISSN - 1526-6028
DOI - 10.1177/15266028221105840
Subject(s) - medicine , digital subtraction angiography , endovascular aneurysm repair , radiology , stent , convolutional neural network , aneurysm , deep learning , artificial intelligence , segmentation , abdominal aortic aneurysm , angiography , surgery , computer science
Modern endovascular hybrid operating rooms generate large amounts of medical images during a procedure, which are currently mostly assessed by eye. In this paper, we present fully automatic segmentation of the stent graft on the completion digital subtraction angiography during endovascular aneurysm repair, utilizing a deep learning network.