A deep learning approach to automate high-resolution blood vessel reconstruction on computerised tomography images with or without the use of contrast agents
Abstract
Background Existing methods to reconstruct vascular structures from a computed tomography (CT) angiogram rely on injection of intravenous contrast to enhance the radio-density within the vessel lumen. Pathological changes present within the blood lumen, vessel wall or a combination of both prevent accurate 3D reconstruction. In the example of aortic aneurysmal (AAA) disease, a blood clot or thrombus adherent to the aortic wall within the...
Paper Details
Title
A deep learning approach to automate high-resolution blood vessel reconstruction on computerised tomography images with or without the use of contrast agents
Published Date
Nov 1, 2020
Journal
Volume
41
Issue
Supplement_2
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