Automated Segmentation and Registration Methods in Carotid Artery Atherosclerosis Plaque Features and Stenosis

Autor: Sharma, Rakesh, Katz, Jose
Jazyk: angličtina
Rok vydání: 2023
Předmět:
DOI: 10.5281/zenodo.7858201
Popis: Carotid artery atherosclerosis plaque characterization, vascular stenosis measurement by use of noninvasive magnetic resonance imaging method is emerging as ideal modality for the evaluation of vascular disease and therapy monitoring. With this aim, in this paper, the topic of carotid artery Magnetic Resonance Imaging (MRI) is discussed with emphasis of segmentation and registration physical principles, techniques in current practice for acquisition and display of vascular anatomy as well as plaque measurement. Main techniques are described for segmentation by: 1.parametric deformable models, 2. feature contour map, contrast enhancement methods; and registration by: 1.edge-detection, 2.feature based, 3.gray level correction, 4.multimodal registration. Later, recent examples are illustrated for carotid artery segmentation, contrast enhancements and carotid artery bifurcation registration algorithms and applications with emphasis of spatial transformation and image reconstruction. Authors indicate the scope of carotid bifurcation tissue analysis to understand and explore deep learning of diagnostic accuracy features.
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Databáze: OpenAIRE
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