Original paper
A Deep Learning Pipeline to Automate High-Resolution Arterial Segmentation With or Without Intravenous Contrast
Abstract
Existing methods to reconstruct vascular structures from a computerized tomography (CT) angiogram rely on contrast injection to enhance the radio-density within the vessel lumen. However, pathological changes in the vasculature may be present that prevent accurate reconstruction. In aortic aneurysmal disease, a thrombus adherent to the aortic wall within the expanding aneurysmal sac is present in >90% of cases. These deformations prevent the...
Paper Details
Title
A Deep Learning Pipeline to Automate High-Resolution Arterial Segmentation With or Without Intravenous Contrast
Published Date
Nov 23, 2020
Journal
Volume
276
Issue
6
Pages
e1017 - lpagee1027
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