Home // COGNITIVE 2019, The Eleventh International Conference on Advanced Cognitive Technologies and Applications // View article
Authors:
Julia Rayz
Vitaliy Rayz
Victor Raskin
Keywords: Ontology; Knowledge Representation; Medical Imaging; Blood vessels; cerebral circulation
Abstract:
Advancements in medical imaging led to increased amount of image data that needs to be post-processed and examined in order to determine a pathology and provide diagnosis. In particular, post-processing and analysis of magnetic resonance images of blood vessels in the brain requires advanced tools capable of representing the vessels network in 3D and eliminating errors caused by image artifacts and noise. An approach based on the knowledge of the anatomy and functions of the brain vasculature is considered. While state-of-the-art tools are designed to evaluate image intensity, the knowledge-based framework can use the information on the underlying vascular structures to map imaging data to ontological representation, thus allowing for annotation possibility and textual description understanding, as well as detect errors and separate them from abnormalities caused by vascular disease.
Pages: 85 to 90
Copyright: Copyright (c) IARIA, 2019
Publication date: May 5, 2019
Published in: conference
ISSN: 2308-4197
ISBN: 978-1-61208-705-4
Location: Venice, Italy
Dates: from May 5, 2019 to May 9, 2019