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SEGMENTATION AND QUANTIFICATION FOR INTRAVASCULAR OPTICAL COHERENCE TOMOGRAPHY IMAGES

机译:血管内相干断层扫描图像的分割和量化

摘要

A system and related methods for automatic or semi-automatic segmentation and quantification of blood vessel structure and physiology, including segmentation and quantification of lumen, guide wire, vessel wall, calcified plaques, fibrous caps, macrophages, metallic and bioresorbable stents are described, and including visualization of results. Calcified plaque segmentation can be used to estimate the distribution of superficial calcification and inform strategies stenting. Volumetric segmentation and quantification of fibrous caps can provide more comprehensive information of the mechanisms behind plaque rupture. Quantification of macrophages can aid diagnosis and prediction of unstable plaque and associated acute coronary events. Automated detection and quantification of metallic and bioresorbable stents can greatly reduce the analysis time and facilitate timely decision making for intervention procedures.
机译:描述了用于自动或半自动分割和定量血管结构和生理学的系统和相关方法,包括分割和定量管腔,导丝,血管壁,钙化斑块,纤维帽,巨噬细胞,金属和生物可吸收支架,以及包括结果的可视化。钙化斑块分割可用于估计浅表钙化的分布并告知支架置入策略。纤维帽的体积分割和定量可以提供有关斑块破裂机制的更全面的信息。巨噬细胞的定量可以帮助诊断和预测不稳定斑块和相关的急性冠脉事件。金属和生物可吸收支架的自动检测和定量可大大减少分析时间,并有助于及时制定介入程序。

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